absorb.md

What the smart people are recommending. 7867 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.

AllπŸ“š BooksπŸ›  ToolsπŸ“± AppsπŸ’Š SupplementsπŸŽ“ Courses🎬 MoviesπŸ“Ί ShowsπŸ“¦ ProductsπŸ”§ ServicesπŸ“„ PapersπŸ‘€ People🎟 EventsπŸ’» Repos✨ Skills
Timeframe:All timeLast 7 daysLast 30 daysLast 90 days
πŸ”§ ServicesΓ—1 mentions

Himscom

β€œTo get started and learn more, including important safety information, with Govee clinical study information and restrictions, visit hims.com or forhers.com.”

Recommended on WSJ Tech News Briefing β€” 2026-04-08
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πŸ”§ ServicesΓ—1 mentions

Forherscom

β€œTo get started and learn more, including important safety information, with Govee clinical study information and restrictions, visit hims.com or forhers.com.”

Recommended on WSJ Tech News Briefing β€” 2026-04-08
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πŸŽ“ CoursesΓ—1 mentions

Tensor Puzzles

β€œI would really recommend starting with the first one which is called tensor puzzles tensor puzzles targets uh this problem I mentioned earlier which is shape understanding and particularly understandi…”

youtube: Sasha Rush on the Evolution and Future of NLP Tools and Research β€” by Cohere β€” 2026-04-07
Endorsed by Cohere
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πŸ“Ί ShowsΓ—1 mentions

Heart Wisdom Podcast A Guided Meditation For Grounding Gratitude And Presence

by Jack Kornfield

β€œA potent reminder from Jack Kornfield in this episode 320 of the Heart Wisdom Podcast, A guided meditation for grounding, gratitude, and presence.”

Recommended on Heart Wisdom with Jack Kornfield β€” 2026-04-08
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πŸ›  ToolsΓ—1 mentions

Jackcornfieldcom

β€œI highly recommend heading to jackcornfield.com and signing up for his year-long program, Living the Dharma in a Troubled World.”

Recommended on Heart Wisdom with Jack Kornfield β€” 2026-04-08
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πŸŽ“ CoursesΓ—1 mentions

Living The Dharma In A Troubled World

by Jack Kornfield

β€œI highly recommend heading to jackcornfield.com and signing up for his year-long program, Living the Dharma in a Troubled World.”

Recommended on Heart Wisdom with Jack Kornfield β€” 2026-04-08
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πŸŽ“ CoursesΓ—1 mentions

A Course Of His Sacred Dialogues With Ram Dass

by Jack Kornfield

β€œJack just released a course of his sacred dialogues with Ram Dass. It spans from Naropa 1974 all the way to Hawaii, where Ram Dass spent the last years of his life until 2019. If you're a fan of Jack …”

Recommended on Heart Wisdom with Jack Kornfield β€” 2026-04-08
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πŸ›  ToolsΓ—1 mentions

Alphatensor

β€œAnd the equivalent of a move 37 would be like alpha tensor finding a new algorithm that makes you know matrix multiplication faster.”

youtube: AI as a Scientific Accelerator: From Protein Folding to AGI β€” by Demis Hassabis β€” 2026-04-07
Endorsed by Demis Hassabis
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πŸ›  ToolsΓ—1 mentions

Fidelity Trader Plus

β€œIntroducing Fidelity Trader Plus, the next generation of advanced trading from Fidelity. Customize your tools and charts and access them seamlessly across desktop, web, and mobile. For faster trades a…”

Recommended on WSJ What’s News β€” 2026-04-06
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πŸ“Ί ShowsΓ—1 mentions

Tech News Briefing

β€œTo hear more from Berber, listen to tomorrow's episode of Tech News Briefing.”

Recommended on WSJ What’s News β€” 2026-04-06
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πŸ›  ToolsΓ—1 mentions

Gratefulorg

by Brother David Stendelrast

β€œHe has a fantastic website called I think grateful or gratitude dot org full of practices of gratitude.”

Recommended on Heart Wisdom with Jack Kornfield β€” 2026-04-08
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πŸ“š BooksΓ—1 mentions

Antifragile

by Nassim Talib

β€œAnd there's a great book some of your listeners may have read called Anti-Fragile by the famous risk options trader Nassim Talib.”

Recommended on The Tony Robbins Channel β€” 2026-04-08
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πŸ›  ToolsΓ—1 mentions

Discretetime Markovstate Framework

β€œThis framework provides a compact and physically transparent tool for analyzing and optimizing digitally stabilized lasers in integrated photonic systems.”

paper: Markov-State Modeling for Digital Laser Stabilization β€” 2026-04-09
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πŸ›  ToolsΓ—1 mentions

Cadence

β€œTo address this challenge, we present CADENCE, an adaptive system that dynamically scales the computational complexity of a slimmable monocular depth estimation network in response to navigation needs…”

paper: CADENCE: Adaptive Depth Estimation for Resource-Constrained Autonomous Navigation β€” 2026-04-09
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πŸ’» ReposΓ—1 mentions

Schkhtc

β€œOur code is available at https://github.com/happywinder/SCHK-HTC.”

paper: Sibling Contrastive Learning and Hierarchical Knowledge Prompts Boost Few-Shot HTC β€” 2026-04-20
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🎟 EventsΓ—1 mentions

C4 Ai Scholars Program

β€œOur programs include supporting Community Driven research and this is a cross fundamental machine learning topics we have the C4 AI Scholars Program”

youtube: Diverse Pathways into AI Research: A Fireside Chat with Pablo Samuel Castro β€” by Cohere β€” 2026-04-07
Endorsed by Cohere
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🎟 EventsΓ—1 mentions

Ria

β€œPablo was organizing Ria which is this conference that was in Ecuador in Quito for the first time”

youtube: Diverse Pathways into AI Research: A Fireside Chat with Pablo Samuel Castro β€” by Cohere β€” 2026-04-07
Endorsed by Cohere
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πŸ”§ ServicesΓ—1 mentions

Tiktok One

β€œWe want to make it as easy as possible, right? So we have a TikTok One platform, which brings the creator ecosystem and the business community together, make it very easy to find people who are releva…”

Recommended on The Product Podcast β€” 2026-04-08
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🎟 EventsΓ—1 mentions

Monday April 6th

β€œHere's your afternoon TNB Tech Minute for Monday, April 6th.”

Recommended on WSJ Tech News Briefing β€” 2026-04-06
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πŸ‘€ PeopleΓ—1 mentions

Carl Young

β€œThat also echoes what Carl Young says. Who looks outside dreams. Who looks inside awakes.”

youtube: Overcoming Scarcity Mindset in Entrepreneurship β€” by Garry Tan β€” 2026-04-06
Endorsed by Garry Tan
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πŸ“¦ ProductsΓ—1 mentions

Tiktok Shop

by TikTok

β€œWe've built all of that into automation. You know, particularly when you look at the commerce sector, if you open a TikTok shop and you upload your catalog, we'll do everything else.”

Recommended on The Product Podcast β€” 2026-04-08
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πŸ›  ToolsΓ—1 mentions

Microsoft Airsim

by Microsoft

β€œWe conduct evaluations on our released open-source testbed that integrates Microsoft AirSim with an NVIDIA Jetson Orin Nano.”

paper: CADENCE: Adaptive Depth Estimation for Resource-Constrained Autonomous Navigation β€” 2026-04-09
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πŸ“¦ ProductsΓ—1 mentions

Nvidia Jetson Orin Nano

by NVIDIA

β€œWe conduct evaluations on our released open-source testbed that integrates Microsoft AirSim with an NVIDIA Jetson Orin Nano.”

paper: CADENCE: Adaptive Depth Estimation for Resource-Constrained Autonomous Navigation β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Informational Buildup Framework Ibf

β€œThis paper introduces the Informational Buildup Framework (IBF), an alternative substrate for continual learning, based on the premise that information is the achievement of structural alignment rathe…”

paper: Informational Buildup Framework for Catastrophic Forgetting β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Dinoqpm

β€œWith DINO-QPM we make the level of interpretability of QPM available as an adapter while exceeding the accuracy of DINOv2 linear probe. Evaluated through an introduced Plausibility metric and other in…”

paper: DINO-QPM Enhances Interpretability and Performance for Visual Foundation Models β€” 2026-04-09
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πŸ›  ToolsΓ—1 mentions

Schrdingerbass Bridge For Time Series Sbbts

β€œThese results show that SBBTS provides a practical and effective framework for realistic time series generation and data augmentation in financial applications.”

paper: SchrΓΆdinger-Bass Bridge for Time Series (SBBTS) for Synthetic Financial Time Series Generation β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Tstartreestructured Selftaught Agent Rectification

β€œIn this paper, we propose T-STAR(Tree-structured Self-Taught Agent Rectification), a framework that recovers the latent correlated reward structure across seemingly independent trajectories.”

paper: T-STAR: Tree-structured Agent Rectification for Improved LLM Reasoning in Multi-step Tasks β€” 2026-04-09
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πŸ›  ToolsΓ—1 mentions

Propositional Linear Temporal Logic Ltl

β€œPropositional Linear Temporal Logic (LTL) is a popular formalism for specifying desirable requirements and security and privacy policies for software, networks, and systems.”

paper: LLMs Struggle with Semantic Nuance in LTL Translation β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Tracesafebench

β€œTo address this gap, we introduce TraceSafe-Bench, the first comprehensive benchmark specifically designed to assess mid-trajectory safety.”

paper: LLM Guardrail Efficacy in Multi-Step Tool-Calling Trajectories is Structurally Dependent β€” 2026-04-09
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πŸ’» ReposΓ—1 mentions

Tnrkitjl

β€œWe present TNRKit.jl, an open-source Julia package for Tensor Network Renormalization (TNR) of two- and three-dimensional classical statistical models and Euclidean lattice field theories.”

paper: TNRKit.jl: A Julia Package for Tensor Network Renormalization β€” 2026-04-09
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πŸ’» ReposΓ—1 mentions

Tensorkitjl

β€œBuilt on top of TensorKit.jl\cite{tensorkit}, it provides a symmetry-aware framework for constructing tensor-network representations of partition functions and coarse-graining them using methods such …”

paper: TNRKit.jl: A Julia Package for Tensor Network Renormalization β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Moright

β€œWe introduce MoRight, a unified framework that addresses both limitations through disentangled motion modeling.”

paper: MoRight: A Novel Framework for Disentangled Motion and Causality in Video Generation β€” 2026-04-09
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πŸ’» ReposΓ—1 mentions

Fade

by huidong-ma

β€œThe code is available at https://github.com/huidong-ma/FADE.”

paper: Dual-Stream Feature Decoupling for Efficient Learned Data Compression β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Ddpsa

β€œThis article presents DDP-SA, a scalable privacy-preserving federated learning framework that jointly leverages client-side local differential privacy (LDP) and full-threshold additive secret sharing …”

paper: DDP-SA: A Scalable and Private Federated Learning Framework β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

We Initiate The Study Of Differentially Private Dp Language Identification And Generation In The Agnostic Statistical Setting Establishing Algorithms And Matching Lower Bounds That Precisely Quantify The Cost Of Privacy

β€œWe initiate the study of differentially private (DP) language identification and generation in the agnostic statistical setting, establishing algorithms and matching lower bounds that precisely quanti…”

paper: Privacy Cost in Language Identification and Generation for LLMs is Mild β€” 2026-04-09
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πŸ’» ReposΓ—1 mentions

Evgeoqa

β€œThe dataset and prompts are available at https://github.com/Hapluckyy/EVGeoQA/.”

paper: LLMs Struggle with Dynamic Geo-Spatial Exploration, Despite Tool Use β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Mixedinitiative Context

β€œTo address this, we propose Mixed-Initiative Context, which reconceptualizes the context formed across multi-turn interactions as an explicit, structured, and manipulable interactive object.”

paper: Structured Context Management Improves Human-AI Collaboration β€” 2026-04-09
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πŸ›  ToolsΓ—1 mentions

Contextify

β€œTo explore this concept, we implement Contextify as a probe system and conduct a user study examining users' context management behaviors, attitudes toward AI initiative, and overall collaboration exp…”

paper: Structured Context Management Improves Human-AI Collaboration β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Strideed

β€œTo address these challenges, we propose STRIDE-ED, a STRategy-grounded, Interpretable, and DEep reasoning framework that models Empathetic Dialogue through structured, strategy-conditioned reasoning.”

paper: STRIDE-ED: Enhancing Empathetic Dialogue Systems through Strategy-Grounded Reasoning and Refined Data β€” 2026-04-09
Details β†’
πŸ›  ToolsΓ—1 mentions

Aeros Agent Execution Runtime Operating System

β€œWe formalize this view as AEROS (Agent Execution Runtime Operating System), in which each robot corresponds to one persistent agent and capabilities are provided through Embodied Capability Modules (E…”

paper: AEROS: A Single-Agent Operating System for Embodied AI β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Kite

β€œCode and models are released on our project page: https://m80hz.github.io/kite/”

paper: KITE: A Keyframe-Indexed Tokenized Evidence Framework for VLM-Based Robot Failure Analysis β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Logic Monopoly

β€œWe term this the Logic Monopoly -- the agent society's unchecked monopoly over the entire logic chain from planning through execution to evaluation. We propose the Separation of Power (SoP) model, a c…”

paper: Decentralized Governance of Multi-Agent Economies via Separation of Power β€” 2026-04-09
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πŸ›  ToolsΓ—1 mentions

Separation Of Power Sop Model

β€œWe propose the Separation of Power (SoP) model, a constitutional governance architecture deployed on public blockchain that breaks this monopoly through three structural separations”

paper: Decentralized Governance of Multi-Agent Economies via Separation of Power β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Clickguard

β€œThe paper introduces, ClickGuard: a trustworthy adaptive fusion framework for clickbait detection.”

paper: ClickGuard: An Adaptive Fusion Framework for Trustworthy Clickbait Detection β€” 2026-04-09
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πŸ’» ReposΓ—1 mentions

Clickbaitdetectionarchitecture

by palindromeRice

β€œCode of the work is available at: https://github.com/palindromeRice/ClickBait_Detection_Architecture”

paper: ClickGuard: An Adaptive Fusion Framework for Trustworthy Clickbait Detection β€” 2026-04-09
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πŸ’» ReposΓ—1 mentions

Caap

β€œCode available at https://github.com/ryliu68/CAAP.”

paper: Adversarial Patch Attacks Undermine Palmprint Recognition Systems β€” 2026-04-09
Details β†’
πŸ›  ToolsΓ—1 mentions

Openspatial

β€œBy open-sourcing both the engine and the 3M-scale dataset, we provide a robust foundation to accelerate future research in spatial intelligence.”

paper: OpenSpatial: An Open-Source Engine and Dataset for Advancing Spatial AI β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Redact Reasondeferact

β€œIn this paper, we address this tradeoff by proposing ReDAct (Reason-Defer-Act).”

paper: ReDAct: Cost-Effective Hallucination Reduction in LLM Agents via Uncertainty-Aware Deferral β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Salesllm

β€œWe introduce SalesLLM, a bilingual (ZH/EN) benchmark derived from realistic applications covering Financial Services and Consumer Goods, built from 30,074 scripted configurations and 1,805 curated mul…”

paper: SalesLLM: A Benchmark for LLM Performance in Realistic Sales Dialogues β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Lobster Languageofstudy Bias In Scientific Peer Review

β€œWe present the first systematic characterization of LoS bias, distinguishing negative and positive forms, and introduce the human-annotated dataset LOBSTER (Language-Of-study Bias in ScienTific pEer R…”

paper: Language-of-Study Bias in NLP Peer Review β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Claridge 2025

by Claridge

β€œTo test external validity, the agent replicated two published studies on the CLMET corpus (40 million tokens) - Claridge (2025) and De Smet (2013) - with close quantitative agreement.”

paper: LLM Agents Automate Corpus Linguistics Research β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

De Smet 2013

by De Smet

β€œTo test external validity, the agent replicated two published studies on the CLMET corpus (40 million tokens) - Claridge (2025) and De Smet (2013) - with close quantitative agreement.”

paper: LLM Agents Automate Corpus Linguistics Research β€” 2026-04-09
Details β†’
🎟 EventsΓ—1 mentions

Semeval2026 Shared Task On Dimensional Aspectbased Sentiment Analysis Dimabsa

β€œWe present the SemEval-2026 shared task on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which improves traditional ABSA by modeling sentiment along valence-arousal (VA) dimensions rather tha…”

paper: SemEval-2026 DimABSA Task Advances Sentiment Analysis with Valence-Arousal Dimensions β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Flow Motion Policy

β€œTo address this limitation, we introduce Flow Motion Policy, an open-loop, end-to-end neural motion planner for robotic manipulators that leverages the stochastic generative formulation of flow matchi…”

paper: Flow Motion Policy: Enhancing Robotic Motion Planning with Stochastic Generative Models β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Counterfactual Averaging For Fair Predictions Cafp

β€œIn this paper, we propose Counterfactual Averaging for Fair Predictions (CAFP), a model-agnostic post-processing method that mitigates unfair influence from protected attributes without retraining or …”

paper: Counterfactual Model Averaging for Fair ML Predictions β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Amber

β€œWe introduce A-MBER, an Affective Memory Benchmark for Emotion Recognition, to evaluate this capability.”

paper: A-MBER: A New Benchmark for Affective Memory in AI β€” 2026-04-09
Details β†’
πŸ›  ToolsΓ—1 mentions

Uiintheloop Uiloop

β€œTo enhance the understanding and interaction with UIs, we propose an innovative GUI reasoning paradigm called UI-in-the-Loop (UILoop).”

paper: UI-in-the-Loop: A New Paradigm for Multimodal GUI Reasoning β€” 2026-04-09
Details β†’
πŸ’» ReposΓ—1 mentions

Ui Comprehensionbench

β€œCorrespondingly, we contribute a benchmark of 26K samples (UI Comprehension-Bench) to comprehensively evaluate existing methods' mastery of UI elements.”

paper: UI-in-the-Loop: A New Paradigm for Multimodal GUI Reasoning β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Emomas

β€œWe introduces EmoMAS, a Bayesian multi-agent framework that transforms emotional decision-making from reactive to strategic.”

paper: EmoMAS: Bayesian Multi-Agent System for Emotion-Aware Edge-Deployable Negotiation β€” 2026-04-09
Details β†’
πŸ’» ReposΓ—1 mentions

Concepttracer

β€œConceptTracer is available at https://github.com/ml-lab-htw/concept-tracer.”

paper: ConceptTracer: An Interactive Tool for Neural Network Interpretability on Tabular Data β€” 2026-04-09
Details β†’Visit β†—
πŸ›  ToolsΓ—1 mentions

Continuous Interpretive Steering Cis

β€œthis study introduces Continuous Interpretive Steering (CIS), a method that probes graded pragmatic interpretation by treating activation-level steering strength as a continuous experimental variable.”

paper: Continuous Interpretive Steering and Graded Scalar Diversity in LLMs β€” 2026-04-09
Details β†’
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Grasd

β€œTo support this analysis, this study introduces a new dataset, GraSD, which encodes graded scalar diversity.”

paper: Continuous Interpretive Steering and Graded Scalar Diversity in LLMs β€” 2026-04-09
Details β†’
πŸ›  ToolsΓ—1 mentions

Dptost

β€œOur approach introduces a unified framework, termed DP-TOST, for conducting differentially private equivalence testing of both means and proportions.”

paper: Differentially Private Equivalence Testing (DP-TOST) for Sensitive Data Analysis β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Conformal Margin Risk Minimization Cmrm

β€œWe propose Conformal Margin Risk Minimization (CMRM), a plug-and-play envelope framework that improves any classification loss under label noise by adding a single quantile-calibrated regularization t…”

paper: Conformal Margin Risk Minimization for Robust Learning Under Label Noise β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Inplace Testtime Training Inplace Ttt

β€œIn this work, we introduce In-Place Test-Time Training (In-Place TTT), a framework that seamlessly endows LLMs with Test-Time Training ability.”

paper: In-Place Test-Time Training Enables Dynamic LLM Adaptation β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Unlearning Least Squares Uls

β€œFor squared loss, especially, we develop Unlearning Least Squares (ULS) and establish its minimax optimality for estimating the model parameter of remaining data when only the pre-trained estimator, f…”

paper: Minimax Optimal Machine Unlearning for Data Privacy β€” 2026-04-09
Details β†’
πŸ”§ ServicesΓ—1 mentions

Tax Act

β€œTax Act is here anytime you want to easily file your taxes. Tax Act. Let's get them over with.”

Recommended on The Rest Is History β€” 2026-04-13
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πŸ”§ ServicesΓ—1 mentions

Home Depot

β€œSave on grills and patio sets with low prices guaranteed during Spring Black Friday, only at the Home Depot.”

Recommended on The Rest Is History β€” 2026-04-13
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πŸ“š BooksΓ—1 mentions

Benkei On The Bridge

β€œif you like no theater it's called benke on the bridge and it was written in the 15th century”

Recommended on The Rest Is History β€” 2026-04-13
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πŸ“Ί ShowsΓ—1 mentions

Rest Is Politics Leading

β€œsearch The Rest is Politics Leading wherever you get your podcasts.”

Recommended on The Rest Is History β€” 2026-04-13
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πŸ“„ PapersΓ—1 mentions

Node Embeddings Act As The Information Interface For Graph Neural Networks Yet Their Empirical Impact Is Often Reported Under Mismatched Backbones Splits And Training Budgets This Paper Provides A Controlled Benchmark Of Embedding Choices For Graph Classification Comparing Classical Baselines With Quantumoriented Node Representations Under A Unified Pipeline We Evaluate Two Classical Baselines Alongside Quantumoriented Alternatives Including A Circuitdefined Variational Embedding And Quantuminspired Embeddings Computed Via Graph Operators And Linearalgebraic Constructions All Variants Are Trained And Tested With The Same Backbone Stratified Splits Identical Optimization And Early Stopping And Consistent Metrics Experiments On Five Different Tu Datasets And On Qm9 Converted To Classification Via Target Binning Show Clear Dataset Dependence Quantumoriented Embeddings Yield The Most Consistent Gains On Structuredriven Benchmarks While Social Graphs With Limited Node Attributes Remain Well Served By Classical Baselines The Study Highlights Practical Tradeoffs Between Inductive Bias Trainability And Stability Under A Fixed Training Budget And Offers A Reproducible Reference Point For Selecting Quantumoriented Embeddings In Graph Learning

β€œThis paper provides a controlled benchmark of embedding choices for graph classification, comparing classical baselines with quantum-oriented node representations under a unified pipeline.”

paper: Quantum Embeddings for Graph Neural Networks Show Dataset-Specific Advantages β€” 2026-04-17
Details β†’
πŸ›  ToolsΓ—1 mentions

O3ls

β€œTo address these challenges, we introduce O3LS, a framework for optimizing lattice surgery through automatic layout search and loose scheduling.”

paper: O3LS: A Novel Framework for Optimized Lattice Surgery in Quantum Error Correction β€” 2026-04-17
Details β†’
πŸ›  ToolsΓ—1 mentions

Reproducible Benchmark Pipeline

β€œWe release a reproducible benchmark pipeline, aggregated results, and paired statistical analyses to support deployment-oriented evaluation of reasoning LLMs under real resource constraints.”

paper: Efficiency-Accuracy Trade-offs in Reasoning LLMs: Beyond MoE β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Itag

β€œThis suggests that iTAG-generated data can serve as a practical surrogate for scalable benchmarking of text-based causal discovery algorithms.”

paper: iTAG: Inverse Design for Causal Graph Annotated Text Generation β€” 2026-04-09
Details β†’
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Skill Automation Feasibility Index Safi

β€œWe present the Skill Automation Feasibility Index (SAFI), benchmarking four frontier LLMs -- LLaMA 3.3 70B, Mistral Large, Qwen 2.5 72B, and Gemini 2.5 Flash -- across 263 text-based tasks spanning al…”

paper: LLM Automation Feasibility of Skills β€” 2026-04-09
Details β†’
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Ai Impact Matrix

β€œCross-referencing with real-world AI adoption data from the Anthropic Economic Index (756 occupations, 17,998 tasks), we propose an AI Impact Matrix -- an interpretive framework that positions skills …”

paper: LLM Automation Feasibility of Skills β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Mars Mask Autoregression

β€œWe introduce MARS (Mask AutoRegreSsion), a lightweight fine-tuning method that teaches an instruction-tuned AR model to predict multiple tokens per forward pass.”

paper: MARS: Enhancing Autoregressive Model Throughput without Architectural Changes β€” 2026-04-09
Details β†’
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Chunqiutr

β€œOur code and datasets are available at \href{https://github.com/xbdxwyh/ChunQiuTR}{\texttt{github.com/xbdxwyh/ChunQiuTR}}.”

paper: ChunQiuTR: Advancing Time-Keyed Retrieval for Historical RAG β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Hingemem

β€œIn this paper, we propose HingeMem, a boundary-guided long-term memory that operationalizes event segmentation theory to build an interpretable indexing interface via boundary-triggered hyperedges ove…”

paper: HingeMem: A Boundary-Guided Approach to Scalable Dialogue Memory β€” 2026-04-09
Details β†’
πŸ“„ PapersΓ—1 mentions

Fastdvlm

β€œWe present Fast-dVLM, a block-diffusion-based VLM that enables KV-cache-compatible parallel decoding and speculative block decoding for inference acceleration. ... Extensive experiments across 11 mult…”

paper: Fast-dVLM: Block-Diffusion for Efficient VLM Inference β€” 2026-04-09
Details β†’
πŸ”§ ServicesΓ—1 mentions

Lumencom

β€œlearn more at lumen.com”

Recommended on WSJ What’s News β€” 2026-04-06
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Marmoka

β€œAdditionally, we introduce Marmoka, a family of lightweight 8B-parameter clinical LLMs for English and Spanish, developed via continual domain-adaptive pretraining on medical corpora and instructions.”

paper: Domain Adaptation in Medical LLMs Shows Limited Benefit in English, Stronger in Spanish β€” 2026-04-09
Details β†’
πŸ›  ToolsΓ—1 mentions

Wrap Web Discovery Amplified Pretraining

β€œWe propose WRAP++ (Web discoveRy Amplified Pretraining), which amplifies the associative context of factual knowledge by discovering cross-document relationships from web hyperlinks and synthesizing j…”

paper: WRAP++: Amplifying LLM Pretraining with Cross-Document Relational Knowledge β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Skintoned Emojis Are Crucial For Fostering Personal Identity And Social Inclusion In Online Communication As Ai Models Particularly Large Language Models Llms Increasingly Mediate Interactions On Web Platforms The Risk That These Systems Perpetuate Societal Biases Through Their Representation Of Such Symbols Is A Significant Concern This Paper Presents The First Largescale Comparative Study Of Bias In Skintoned Emoji Representations Across Two Distinct Model Classes We Systematically Evaluate Dedicated Emoji Embedding Models Emoji2vec Emojisw2v Against Four Modern Llms Llama Gemma Qwen And Mistral Our Analysis First Reveals A Critical Performance Gap While Llms Demonstrate Robust Support For Skin Tone Modifiers Widelyused Specialized Emoji Models Exhibit Severe Deficiencies More Importantly A Multifaceted Investigation Into Semantic Consistency Representational Similarity Sentiment Polarity And Core Biases Uncovers Systemic Disparities We Find Evidence Of Skewed Sentiment And Inconsistent Meanings Associated With Emojis Across Different Skin Tones Highlighting Latent Biases Within These Foundational Models Our Findings Underscore The Urgent Need For Developers And Platforms To Audit And Mitigate These Representational Harms Ensuring That Ais Role On The Web Promotes Genuine Equity Rather Than Reinforcing Societal Biases

β€œThis paper presents the first large-scale comparative study of bias in skin-toned emoji representations across two distinct model classes.”

paper: LLMs Outperform Legacy Emoji Models but Still Exhibit Bias in Skin-Toned Emoji Representation β€” 2026-04-09
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Divi

β€œWe propose DIVI, a data-informed variational clustering framework that combines global feature gating with split-based adaptive structure growth. DIVI uses informative prior initialization to stabiliz…”

paper: DIVI: A Robust Variational Clustering Framework for Noisy High-Dimensional Data β€” 2026-04-09
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Bilipschitz Autoencoder Blae

β€œIn this work, we propose the Bi-Lipschitz Autoencoder (BLAE), which introduces two key innovations: (1) an injective regularization scheme based on a separation criterion to eliminate pathological loc…”

paper: Bi-Lipschitz Autoencoders for Robust Manifold Learning β€” 2026-04-09
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Qipengzblae

β€œCode is available at https://github.com/qipengz/BLAE.”

paper: Bi-Lipschitz Autoencoders for Robust Manifold Learning β€” 2026-04-09
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Generative Crossentropy Gce

β€œMotivated by the complementary strengths of generative and discriminative classifiers, we propose Generative Cross-Entropy (GCE), which maximizes $p(x|y)$ and is equivalent to cross-entropy augmented …”

paper: Generative Cross-Entropy (GCE) for Improved Deep Learning Classification β€” 2026-04-09
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Girish Arxiv251006385

β€œThis answers a recent open question of Girish (arXiv:2510.06385) on the power of commuting quantum computations.”

paper: IQP Circuits Solve 2-Forrelation with Minimal Quantum Resources β€” 2026-04-17
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Woman Of Influence

β€œWelcome to Woman of Influence. I'm Julie Solomon, and this is where high-level women come to recalibrate their message, realign their leadership, and rise into the next era of impact.”

Recommended on Woman of Influence β€” 2026-04-06
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Cognitive Loop Of Thought Clot

β€œTo address these limitations, we propose a novel Chain-of-Thought framework based on Reversible Hierarchical Markov Chain, termed Cognitive Loop of Thought (CLoT), and a backward reasoning dataset CLo…”

paper: Cognitive Loop of Thought: A Reversible Hierarchical Markov Chain for Enhanced LLM Mathematical Reasoning β€” 2026-04-09
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Agsc

β€œTo address these challenges, we propose AGSC (Adaptive Granularity and GMM-based Semantic Clustering), a UQ framework tailored for long-form generation.”

paper: Adaptive Uncertainty Quantification for Long-form LLM Generation β€” 2026-04-09
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Semeval2026 Task 9

β€œWe present SemEval-2026 Task 9, a shared task on online polarization detection, covering 22 languages and comprising over 110K annotated instances.”

paper: SemEval-2026 Advances Multilingual Online Polarization Detection β€” 2026-04-09
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Full Python Code

β€œTo ensure reproducibility, the full Python code is publicly available.”

paper: Robustness Interval for Spiking Reservoir Computing Tuning β€” 2026-04-09
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Sharp Lipschitz Regularity Theory For Flowmatching Vector Fields And Diffusionmodel Scores

β€œUnder general assumptions on the target distribution $p^β˜…$, we establish a sharp Lipschitz regularity theory for flow-matching vector fields and diffusion-model scores, with optimal dependence on time…”

paper: Lipschitz Regularity Improves Sampling and Functional Inequalities in Flow Matching and Diffusion Models β€” 2026-04-09
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Ratedistortion Mdl Rdmdl

β€œCombining it with a traditional approach for the causal mechanism, we introduce a new bivariate causal discovery method, termed rate-distortion MDL (RDMDL).”

paper: Rate-Distortion MDL for Improved Bivariate Causal Discovery β€” 2026-04-09
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Tiagobrogueiracausaldiscoveryinexchangeabledata

β€œAll the code and experiments are publicly available at github.com/tiagobrogueira/Causal-Discovery-In-Exchangeable-Data.”

paper: Rate-Distortion MDL for Improved Bivariate Causal Discovery β€” 2026-04-09
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Fastml

β€œWe present fastml, an R package that provides a single-call interface for leakage-aware machine learning through guarded resampling, where preprocessing is re-estimated inside each resample and applie…”

paper: fastml: Mitigating Preprocessing Leakage in Automated Machine Learning for R β€” 2026-04-09
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Individualheterogeneous Subgaussian Mixture Model

β€œTo address this, we introduce the individual-heterogeneous sub-Gaussian mixture model, a flexible framework that assigns each observation its own heterogeneity parameter, thereby explicitly capturing …”

paper: Individual-Heterogeneous Sub-Gaussian Mixture Models Outperform Homogeneous Models in Clustering β€” 2026-04-09
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Jeffreys Flow

β€œHere, we introduce the Jeffreys Flow, a robust generative framework that mitigates this failure by distilling empirical sampling data from Parallel Tempering trajectories using the symmetric Jeffreys …”

paper: Jeffreys Flow: A Robust Generative Framework for Rare Event Sampling β€” 2026-04-09
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