absorb.md

What the smart people are recommending. 8874 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.

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📄 Papers×1 mentions

Arxiv250611576

by Claudon et al.

“In this work, we construct and simulate an explicit circuit level implementation of a quantum Metropolis-Hastings algorithm based on the framework introduced by Claudon \emph{et al.} (arXiv:2506.11576…”

paper: Circuit Implementation of Quantum Metropolis-Hastings for Stationary Distribution Preparation — 2026-04-17
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📄 Papers×1 mentions

Theorem 101 Of Jordan Et Al

by Jordan et al.

“The best existing answer is provided by Theorem 10.1 of Jordan et al., yet we show that this answer systematically underestimates the extent of quantum advantage.”

paper: Refined Quantum Advantage in Decoded Quantum Interferometry — 2026-04-17
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📄 Papers×1 mentions

Our Findings Highlight The Advantages Of Our Approach And Suggest Promising Advancements In The Field Of Quantum Lidar Sensing Technology Providing A Pathway For More Accurate And Sensitive Measurement Capabilities

“Our findings highlight the advantages of our approach and suggest promising advancements in the field of quantum LiDAR sensing technology, providing a pathway for more accurate and sensitive measureme…”

paper: Enhanced Quantum LiDAR Resolution with Z4n-Detection — 2026-04-17
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📄 Papers×1 mentions

How To Give Your Team The Feedback They Actually Need

by Marcus Buckingham

“Blog post by Marcus Buckingham”

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📄 Papers×1 mentions

Visor

“To address these challenges, we propose VISOR (Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning), a unified single-agent framework.”

paper: VISOR Overcomes Visual Evidence Sparsity and Search Drift in Agentic VRAG for Superior Long-Horizon Reasoning — 2026-04-13
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📄 Papers×1 mentions

Vidoseek

“Extensive experiments on ViDoSeek, SlideVQA, and MMLongBench demonstrate that VISOR achieves state-of-the-art performance”

paper: VISOR Overcomes Visual Evidence Sparsity and Search Drift in Agentic VRAG for Superior Long-Horizon Reasoning — 2026-04-13
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📄 Papers×1 mentions

Slidevqa

“Extensive experiments on ViDoSeek, SlideVQA, and MMLongBench demonstrate that VISOR achieves state-of-the-art performance”

paper: VISOR Overcomes Visual Evidence Sparsity and Search Drift in Agentic VRAG for Superior Long-Horizon Reasoning — 2026-04-13
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📄 Papers×1 mentions

Mmlongbench

“Extensive experiments on ViDoSeek, SlideVQA, and MMLongBench demonstrate that VISOR achieves state-of-the-art performance”

paper: VISOR Overcomes Visual Evidence Sparsity and Search Drift in Agentic VRAG for Superior Long-Horizon Reasoning — 2026-04-13
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📄 Papers×1 mentions

Splitevolution Quantum Phase Estimation Seqpe

“Over a range of FeMoco active spaces, SE-QPE reduces time evolution resources, with asymptotic reductions of about 33% in CX count, 25% in $T$ count, and an asymptotic depth ratio of $3/N$ for CX laye…”

paper: Split-Evolution QPE Reduces Quantum Resource Overhead — 2026-04-17
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📄 Papers×1 mentions

Summeval

“We present a two-pronged diagnostic toolkit applied to SummEval”

paper: Diagnosing LLM Judge Reliability with Conformal Prediction and Transitivity Analysis — 2026-04-17
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📄 Papers×1 mentions

Atropos

“This paper proposes Atropos, a predictive early-termination analysis and hotswap technique that aims to improve the cost-benefit trade-off for LLM-based agents that use self-consistency.”

paper: Atropos: Optimizing LLM Agent Cost-Benefit with Early Termination and Model Hotswap — 2026-04-17
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📄 Papers×1 mentions

Tragedy Of The Commons Hardin

by H. W. Brands

“Tragedy of the commons: Hardin”

blog: The Inherent Logic of the Tragedy of the Commons — by H. W. Brands — 2026-04-09
Endorsed by H. W. Brands
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📄 Papers×1 mentions

Stableopd

“To address this issue, we propose StableOPD, a stabilized OPD framework that combines a reference-based divergence constraint with rollout mixture distillation. These together mitigate repetition-indu…”

paper: On-Policy Distillation: Addressing Length Inflation and Instability with StableOPD — 2026-04-10
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📄 Papers×1 mentions

Language Generation In The Limit A Model Recently Introduced By Kleinberg And Mullainathan Km24

by Kleinberg and Mullainathan

“We initiate the study of language generation in the limit, a model recently introduced by Kleinberg and Mullainathan [KM24], under the constraint of differential privacy.”

paper: Differential Privacy Impacts Language Generation and Identification Asymmetrically — 2026-04-10
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📄 Papers×1 mentions

Diadem

“We introduce DiADEM, a neural architecture that learns "how much each demographic axis matters" for predicting who will disagree and on what.”

paper: DiADEM: Modeling Annotator Disagreement with Demographic Importance Weighting — 2026-04-10
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📄 Papers×1 mentions

Selfaudited Verified Reasoning Saver

“In this paper, inspired by the vulnerability of unfaithful intermediate reasoning trajectories, we propose \textbf{S}elf-\textbf{A}udited \textbf{Ve}rified \textbf{R}easoning (\textsc{SAVeR}), a novel…”

paper: Self-Audited Verification for Faithful LLM Agent Reasoning — 2026-04-10
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📄 Papers×1 mentions

Solar

“We propose SOLAR (Subspace-Oriented Latent Adapter Reparameterization), a post-training compression framework that substantially reduces the communication cost (i.e., the number of parameters to trans…”

paper: SOLAR: Subspace-Oriented Latent Adapter Reparameterization for Communication-Efficient PEFT — 2026-04-10
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📄 Papers×1 mentions

Trace Trajectorical Adaptive Compute Via Agreement

“We introduce TrACE (Trajectorical Adaptive Compute via agrEement), a training-free controller that allocates LLM calls adaptively across agent timesteps by measuring inter-rollout action agreement.”

paper: TrACE: Adaptive Compute for LLM Agents via Inter-Rollout Agreement — 2026-04-10
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📄 Papers×1 mentions

Skillclaw

“To address these issues, we present SkillClaw, a framework for collective skill evolution in multi-user agent ecosystems, which treats cross-user and over-time interactions as the primary signal for i…”

paper: SkillClaw: Collective Skill Evolution for LLM Agents — 2026-04-10
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📄 Papers×1 mentions

Hypermem

“To this end, we propose HyperMem, a hypergraph-based hierarchical memory architecture that explicitly models such associations using hyperedges.”

paper: HyperMem: A Hypergraph-Based Memory Architecture for Enhanced Long-Term Conversational AI — 2026-04-10
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📄 Papers×1 mentions

Selfdebias

“To address this limitation, we introduce Self-Debias, a progressive framework designed to instill intrinsic self-correction capabilities.”

paper: Self-Debias: A Self-Correcting Framework for LLM Bias Propagation — 2026-04-10
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📄 Papers×1 mentions

Guarantrag

“We introduce GuarantRAG, a framework that explicitly decouples reasoning from evidence integration.”

paper: GuarantRAG: Decoupling Reasoning and Evidence Integration for Enhanced RAG Performance — 2026-04-10
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📄 Papers×1 mentions

Bayesian Tucker Decomposition Btud

“Thus we can conclude that our newly proposed unsupervised feature selection method is promising.”

paper: Bayesian Tucker Decomposition for Enhanced Unsupervised Feature Selection — 2026-04-17
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📄 Papers×1 mentions

Variational Quantum Algorithms Vqas And Their Progression Toward The Faulttolerant Regime

“This review offers an insightful analysis of VQAs and their progression toward the fault-tolerant regime.”

paper: Variational Quantum Algorithms: A Roadmap to Fault Tolerance — 2026-04-10
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📄 Papers×1 mentions

Neural Architecture Search Nas Approach For Designing Quantum Feature Maps

“We present a hardware-aware Neural Architecture Search (NAS) approach for designing quantum feature maps that are natively executable on IBM quantum processors without transpilation overhead.”

paper: Hardware-Aware NAS for Practical Quantum SVMs — 2026-04-10
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📄 Papers×1 mentions

Visual Decoding From Brain Signals Is A Key Challenge At The Intersection Of Computer Vision And Neuroscience Requiring Methods That Bridge Neural Representations And Computational Models Of Vision

“Visual decoding from brain signals is a key challenge at the intersection of computer vision and neuroscience, requiring methods that bridge neural representations and computational models of vision.”

paper: Meta-optimized In-Context Learning Enables Training-Free Cross-Subject Brain Decoding — 2026-04-10
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📄 Papers×1 mentions

Equivariant Meanflow Equimf

“We propose Equivariant MeanFlow (EQUIMF), a unified SE(3)-equivariant generative framework that jointly models discrete and continuous components through synchronized MeanFlow dynamics.”

paper: Equivariant MeanFlow for Unified Molecular Graph Generation — 2026-04-10
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📄 Papers×1 mentions

Echo Networks

“We therefore introduce Echo Networks, a type of recurrent network that consists of the connection matrix only, with the source neurons of the synapses represented as rows, destination neurons as colum…”

paper: Echo Networks: A Novel Recurrent Architecture for Efficient Neuroevolution — 2026-04-10
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📄 Papers×1 mentions

Shift And Stretchinvariant Nonnegative Matrix Factorization Framework

“To address this, we present the shift- and stretch-invariant non-negative matrix factorization framework.”

paper: Shift- and Stretch-Invariant NMF for Dynamic Neuroimaging — 2026-04-10
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📄 Papers×1 mentions

Testtime Variational Synthesis Ttvs

“To address this gap, we introduce Test-Time Variational Synthesis (TTVS), a novel framework that enables LRMs to self-evolve by dynamically augmenting the training stream from unlabeled test queries.”

paper: TTVS: Self-Evolving LRMs for Test-Time Adaptation — 2026-04-10
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📄 Papers×1 mentions

Dmax

“Code is available at: https://github.com/czg1225/DMax”

paper: DMax: Aggressive Parallel Decoding for Diffusion Language Models — 2026-04-10
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📄 Papers×1 mentions

Egoeverything

“EgoEverything is a benchmark that explicitly considers human behavior by leveraging human attention signals, abstracted from gaze data, when generating questions. It comprises over 5,000 multiple choi…”

paper: EgoEverything Benchmark Integrates Gaze-Derived Attention for Realistic AR Egocentric Video QA — 2026-04-10
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📄 Papers×1 mentions

Multiple Embedding Replay Selection

“We propose a new method, Multiple Embedding Replay Selection, MERS, which replaces the buffer selection module with a graph-based approach that integrates both supervised and self-supervised embedding…”

paper: MERS: Enhancing Continual Learning with Complementary Embeddings for Replay Buffer Selection — 2026-04-10
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📄 Papers×1 mentions

Histdit

“In this paper, we introduce HistDiT, a novel latent conditional Diffusion Transformer (DiT) architecture that establishes a new benchmark for visual fidelity in virtual histological staining.”

paper: HistDiT: Advancing Virtual Staining in Histopathology with Diffusion Transformers — 2026-04-10
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📄 Papers×1 mentions

Longterm Embeddings Lte

“We propose Long-Term Embeddings (LTE) as a high-inertia contextual anchor to bridge this gap.”

paper: Long-Term Embeddings Overcome Recency Bias and Ensure Production Consistency in Sequential Recommenders — 2026-04-10
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📄 Papers×1 mentions

Sim1

“To address this, we introduce SIM1, a physics-aligned real-to-sim-to-real data engine that grounds simulation in the physical world.”

paper: Physics-Aligned Simulation for Deformable Object Manipulation — 2026-04-10
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📄 Papers×1 mentions

Rewardflow

“We introduce RewardFlow, an inversion-free framework that steers pretrained diffusion and flow-matching models at inference time through multi-reward Langevin dynamics.”

paper: RewardFlow: Multi-Reward Steering for Diffusion Models in Image Generation — 2026-04-10
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📄 Papers×1 mentions

Line

“We introduce LINE, a novel, training-free iterative approach tailored for open-vocabulary concept labeling in vision models.”

paper: LINE: Iterative LLM-based Neuron Explanation for Vision Models — 2026-04-10
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📄 Papers×1 mentions

Conditional Neural Processes Cnp

“we study the applicability of Conditional Neural Processes (CNP) to the task of self-supervised multimodal action prediction in robotics.”

paper: DMBN-PTE: Enhancing Multimodal Action Prediction with Robust Temporal Encoding — 2026-04-10
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📄 Papers×1 mentions

Ovsdino

“To address this, we propose OVS-DINO, a novel framework that revitalizes latent edge-sensitivity of DINO through structural alignment with the Segment Anything Model (SAM).”

paper: OVS-DINO: Enhanced Open-Vocabulary Segmentation via Structure-Aligned DINO and SAM — 2026-04-10
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📄 Papers×1 mentions

Fimohard

“First, we release MiniF2F-Hard and FIMO-Hard, expert-reannotated Hard Mode variants of two widely-used ATP benchmarks.”

paper: DAP Framework Masters Hard Mode ATP by Discovering Answers via LLM Reasoning Before Proving — 2026-04-20
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📄 Papers×1 mentions

Instap

“We introduce InstAP, an Instance-Aware Pre-training framework that jointly optimizes global vision-text alignment and fine-grained, instance-level contrastive alignment by grounding textual mentions t…”

paper: Enhancing VLP Spatial-Temporal Reasoning via Instance-Aware Pre-training — 2026-04-10
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📄 Papers×1 mentions

Phantasia

“Second, to address this gap, we introduce Phantasia, a context-adaptive backdoor attack that dynamically aligns its poisoned outputs with the semantics of each input.”

paper: Phantasia: Context-Adaptive Backdoor Attacks in Vision-Language Models — 2026-04-10
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📄 Papers×1 mentions

Snip

by Meidani et al., 2024

“SNIP (Meidani et al., 2024), a contrastive pre-training model inspired by CLIP, advances LSO by introducing a multi-modal approach: aligning symbolic and numeric encoders in a shared latent space to l…”

paper: Latent Space Optimization for Symbolic Regression: The Alignment Problem — 2026-04-10
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📄 Papers×1 mentions

Supervised Machine Learning Assumes That Labeled Data Provide Accurate Measurements Of The Concepts Models Are Meant To Learn Yet In Practice Human Labeling Introduces Systematic Variation Arising From Ambiguous Items Divergent Interpretations And Simple Mistakes Machine Learning Research Commonly Treats All Disagreement As Noise Which Obscures These Distinctions And Limits Our Understanding Of What Models Actually Learn This Paper

“This paper reframes annotation as a measurement process and introduces a statistical framework for decomposing labeling outcomes into interpretable sources of variation: instance difficulty, annotator…”

paper: Deconstructing Human Labeling Variation in ML Datasets — 2026-04-10
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📄 Papers×1 mentions

Newtonschulzbased Riemannian Gradient Scheme Nsrgs

“In this paper, we propose a Newton-Schulz-based Riemannian Gradient Scheme (NS-RGS) for orthogonal group synchronization that significantly reduces computational cost by replacing the SVD or QR step w…”

paper: NS-RGS: A Faster Riemannian Gradient Method for Orthogonal Group Synchronization — 2026-04-10
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📄 Papers×1 mentions

Biroli Bonnaire Debortoli And Mzard 2024

by Biroli, Bonnaire, de~Bortoli, and Mézard

“In symmetric binary Gaussian mixtures, the criterion recovers the critical diffusion time detected by the midpoint derivative of the score and agrees with the spectral criterion of Biroli, Bonnaire, d…”

paper: Burgers Equation Structure in Diffusion Generative Models Predicts Speciation Transitions — 2026-04-10
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📄 Papers×1 mentions

Ronan Farrow Piece In The New Yorker About Sam Altman

by Ronan Farrow

“Did you read the Ronan Farrow piece in The New Yorker about Sam Altman?”

Recommended on Dithering — 2026-04-10
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📄 Papers×1 mentions

Why Europe Should Embrace Opensource Ai

by Mark Zuckerberg and Daniel Ek

“https://about.fb.com/news/2024/08/why-europe-should-embrace-open-source-ai-zuckerberg-ek”

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📄 Papers×1 mentions

Open Source Ai Is The Path Forward

by Mark Zuckerberg

“# Open Source AI is the Path Forward”

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📄 Papers×1 mentions

Mmwebagent

“We propose MM-WebAgent, a hierarchical agentic framework for multimodal webpage generation that coordinates AIGC-based element generation through hierarchical planning and iterative self-reflection.”

paper: MM-WebAgent: Hierarchical Multimodal AI for Coherent Webpage Generation — 2026-04-17
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📄 Papers×1 mentions

Rejectiongated Policy Optimization Rgpo

“We propose a new perspective on policy optimization: rather than reweighting all samples by their importance ratios, an optimizer should select which samples are trustworthy enough to drive a policy u…”

paper: Rejection-Gated Policy Optimization Improves RL Reliability and Performance — 2026-04-17
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📄 Papers×1 mentions

Irs Incongruityresolution Supervision

“We introduce IRS (Incongruity-Resolution Supervision), a framework that decomposes humor understanding into three components”

paper: Structured Reasoning Boosts AI Humor Comprehension — 2026-04-17
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📄 Papers×1 mentions

New New Control Society

by John Asconas

“so I have a new essay in the new Atlantis called the new new control society which is really about the how the internet is reshaping politics in our civilization”

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📄 Papers×1 mentions

Our One Demand Is To End Capitalism

by Occupy Wall Street

“Blog post by Occupy Wall Street”

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📄 Papers×1 mentions

Discotrace

“We introduce DiscoTrace, a method to identify the rhetorical strategies that answerers use when responding to information-seeking questions.”

paper: DiscoTrace: A Tool for Analyzing Rhetorical Strategies in QA — 2026-04-17
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📄 Papers×1 mentions

Ktoken Merging

“In this paper, we propose K-Token Merging, a latent-space compression framework that merges each contiguous block of K token embeddings into a single embedding via a lightweight encoder.”

paper: K-Token Merging: Latent-Space Compression for LLMs — 2026-04-17
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📄 Papers×1 mentions

Large Scale Small Ode Lassodepower

“Hence, this paper proposes LArge Scale Small ODE (LASS)-ODE-Power, a learning framework for general-purpose time-domain prediction.”

paper: Foundation Models for Power System Dynamics — 2026-04-17
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📄 Papers×1 mentions

Quantcodebench

“In this work, we present QuantCode-Bench, a benchmark for the systematic evaluation of modern LLMs in generating strategies for the Backtrader framework from textual descriptions in English.”

paper: QuantCode-Bench: Evaluating LLMs in Algorithmic Trading Strategy Generation — 2026-04-17
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📄 Papers×1 mentions

Specguard

“We propose SpecGuard, a verification-aware speculative decoding framework that performs step-level verification using only model-internal signals.”

paper: SpecGuard: In-Model Verification for Efficient LLM Multi-Step Reasoning — 2026-04-17
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📄 Papers×1 mentions

Xqmeval

“In this work, we propose XQ-MEval, a semi-automatically built dataset covering nine translation directions, to benchmark translation metrics.”

paper: Cross-lingual Scoring Bias in Translation Metric Evaluation — 2026-04-17
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📄 Papers×1 mentions

Dynafford

“To address this limitation, we introduce DynAfford, a benchmark that evaluates embodied agents in dynamic environments where object affordances may change over time and are not specified in the instru…”

paper: ADAPT: Enhancing Embodied Agent Planning with Dynamic Affordance Reasoning — 2026-04-17
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📄 Papers×1 mentions

System

“Hence, we contribute a comprehensive dataset, \system, comprising scientific architecture images, their corresponding textual descriptions, and associated DOT code representations.”

paper: Text2Arch: Bridging Natural Language and Scientific Architecture Diagrams — 2026-04-17
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📄 Papers×1 mentions

Ieascache

“Moving beyond this, we propose \textit{IE-as-Cache}, a framework that repurposes IE as a cognitive cache to enhance agentic reasoning.”

paper: IE-as-Cache: Enhancing Agentic Reasoning with Information Extraction — 2026-04-17
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📄 Papers×1 mentions

Confguide

“We address this issue by introducing ConfGuide, a novel LtG approach that generates more succinct and targeted guidance. To this end, it employs conformal risk control to select a set of outcomes, ens…”

paper: ConfGuide: Conformal Guidance for Hybrid Decision Making — 2026-04-17
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📄 Papers×1 mentions

A Hybrid Approach That Combines Large Language Models Llms With Three Newly Created And Curated Vocabularies To Detect And Explain Hate Speech In English French And Greek

“In this paper, we present a hybrid approach that combines Large Language Models (LLMs) with three newly created and curated vocabularies to detect and explain hate speech in English, French, and Greek…”

paper: Hybrid LLM Approach for Explainable Hate Speech Detection — 2026-04-17
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📄 Papers×1 mentions

Llm Fallacy

“This paper introduces the LLM fallacy, a cognitive attribution error in which individuals misinterpret LLM-assisted outputs as evidence of their own independent competence, producing a systematic dive…”

paper: The LLM Fallacy: Misattributing AI-Assisted Output to Personal Competence — 2026-04-17
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📄 Papers×1 mentions

Machine Unlearning For Large Language Models Llms

“In this paper, we recast LLM unlearning as an asymmetric two-task problem: retention is the primary objective and forgetting is an auxiliary.”

paper: Gradient Synthesis for LLM Unlearning Prioritizes Retention — 2026-04-17
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📄 Papers×1 mentions

Racer Retrievalaugmented Contextual Rapid Speculative Decoding

“We propose RACER (Retrieval-Augmented Contextual Rapid Speculative Decoding), a lightweight and training-free method that integrates retrieved exact patterns with logit-driven future cues. This unific…”

paper: RACER: Accelerating LLM Inference with Hybrid Speculative Decoding — 2026-04-17
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📄 Papers×1 mentions

Climatecause

“We introduce ClimateCause, a manually expert-annotated dataset of higher-order causal structures from science-for-policy climate reports, including implicit and nested causality. Cause-effect expressi…”

paper: ClimateCause: A Dataset for Causal Reasoning in Climate Reports — 2026-04-17
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📄 Papers×1 mentions

Continual Unlearning In Real Time With Ensured Preservation Of Llm Knowledge

“To address these issues, we propose Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge (CURaTE).”

paper: Real-Time Continual Unlearning in LLMs — 2026-04-17
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📄 Papers×1 mentions

Medimageedu

“We introduce MedImageEdu, a benchmark for multi-turn, evidence-grounded radiology patient education. Each case provides a radiology report with report text and case images.”

paper: MedImageEdu: A New Benchmark for Multi-Modal Patient Education — 2026-04-17
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Hess Et Al Phys Rev Lett 130 207001 2023

by Hess et al.

“In this comment, we show that the model introduced in Hess et al. Phys. Rev. Lett. {\bf 130}, 207001 (2023) fails the topological gap protocol (TGP)”

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📄 Papers×1 mentions

Pikulin Et Al Arxiv210312217

by Pikulin et al.

“fails the topological gap protocol (TGP) (Pikulin et al., arXiv:2103.12217”

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📄 Papers×1 mentions

Google Paper

“So the TLDR is that these two papers drastically reduced the potential resources required to run an algorithm, what is called Shor's algorithm.”

Recommended on The Defiant - DeFi Podcast — 2026-04-10
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Clinical Uncertainty Risk Alignment Cura

“In this work, we propose Clinical Uncertainty Risk Alignment (CURA), a framework that aligns clinical LM-based risk estimates and uncertainty with both individual error likelihoods and cohort-level am…”

paper: CURA Improves Clinical LM Uncertainty Calibration for Risk Prediction — 2026-04-17
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Earlystopped Aggregation Esa

“In this work, we propose a novel framework for efficient model aggregation called the early-stopped aggregation (ESA)”

paper: Early-Stopped Aggregation: Efficient Adaptive Statistical Inference — 2026-04-17
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Generative Augmented Inference Gai

“We propose Generative Augmented Inference (GAI), a general framework that incorporates AI-generated outputs as informative features for estimating models of human-labeled outcomes.”

paper: Generative Augmented Inference (GAI) for Efficient Data-Driven Operations — 2026-04-17
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Stateoftheart Survey

“To reconnect these approaches, this state-of-the-art survey provides a structured perspective that maps existing XAI techniques onto the various stages of surrogate modeling workflows for design and e…”

paper: Bridging Surrogate Models and Explainable AI for Enhanced Simulation Insight — 2026-04-17
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Batched Robust Ihmm

“Our method, which is called Batched Robust iHMM (BR-iHMM), balances adaptivity and robustness with two additional tunable parameters. Across limit order book data, hourly electricity demand, and a syn…”

paper: Batched Robust iHMM for Outlier-Prone Streaming Data — 2026-04-17
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M Aghaee Et Al Phys Rev B 107 245424 2023

by M. Aghaee et al.

“M. Aghaee et al., Phys. Rev. B 107, 245424 (2023)”

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📄 Papers×1 mentions

Hiplora

“To resolve this, we propose HiP-LoRA, a spectrum-aware adaptation framework. ... Experiments on Llama-3.1-8B demonstrate that under matched budgets, HiP-LoRA drastically reduces pretraining degradatio…”

paper: HiP-LoRA Mitigates Spectral Interference in LoRA via Budgeted Principal and Residual Update Channels — 2026-04-21
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Specific Heat Measurements Model By J L Tallon And J G Storey

by J. L. Tallon and J. G. Storey

“Our results are in striking contradiction with the model of J. L. Tallon and J. G. Storey [Phys. Rev. B 107, 054507 (2023)]”

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Dickerson Esmaeili Morgenstern And Zhang 2023

“Dickerson, Esmaeili, Morgenstern and Zhang (2023) denote the combination of these two constraints as doubly constrained fair clustering. They present algorithms whose guarantees depend on the best kno…”

paper: Constant-Factor Approximations Achieved for Doubly Constrained Fair Clustering in k-Center, k-Median, and k-Means — 2026-04-20
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📄 Papers×1 mentions

Romem

“To address this, we introduce RoMem, a drop-in temporal knowledge graph module for structured memory systems, applicable to agentic memory and beyond.”

paper: RoMem Enables Continuous Temporal KG via Phase Rotation and Volatility-Gated Stability — 2026-04-15
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📄 Papers×1 mentions

Vacoal

“This paper reports an unexpected finding: in a deterministic hyperdimensional computing (HDC) architecture based on Galois-field algebra”

paper: VaCoAl HDC Architecture Emerges STDP-Like Semantic Selection for Reversible Multi-Hop Reasoning — 2026-04-15
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📄 Papers×1 mentions

Arxiv250219560

“Two recent manuscripts [arXiv:2502.19560, arXiv:2503.08944] engage with the topological gap protocol and its use in Phys. Rev. B 107, 245423 (2023) and Subsection S4.3 of the Supplementary Information…”

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📄 Papers×1 mentions

Arxiv250308944

“Two recent manuscripts [arXiv:2502.19560, arXiv:2503.08944] engage with the topological gap protocol and its use in Phys. Rev. B 107, 245423 (2023) and Subsection S4.3 of the Supplementary Information…”

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📄 Papers×1 mentions

Phys Rev B 107 245423 2023

“We uphold the conclusions of Phys. Rev. B 107, 245423 (2023) and Nature 638, 651-655 (2025).”

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📄 Papers×1 mentions

Nature 638 651655 2025

“We uphold the conclusions of Phys. Rev. B 107, 245423 (2023) and Nature 638, 651-655 (2025).”

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📄 Papers×1 mentions

R3 Rollout Routing Replay

“Relax supports R3 (Rollout Routing Replay)~\[1\] for MoE models with only 1.9\% overhead”

paper: Relax Engine Enables Scalable Async RL for Omni-Modal LLM Post-Training — 2026-04-15
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Contrastive Reasoning Path Synthesis Crps

“Here we introduce \textbf{Contrastive Reasoning Path Synthesis (CRPS)}, a framework that transforms supervision extraction...”

paper: Contrastive Synthesis from MCTS Trajectories Yields 20x More Efficient Reasoning Data — 2026-04-15
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📄 Papers×1 mentions

Ksparse Autoencoders

“We propose using k-sparse autoencoders [Makhzani and Frey, 2013] to directly control sparsity, simplifying tuning and improving the reconstruction-sparsity frontier.”

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📄 Papers×1 mentions

Llama Large Language Model Meta Ai

by Meta AI Research

“I would encourage you to take a look at the research paper that will give you all of the findings they had some interesting results”

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📄 Papers×1 mentions

No Language Left Behind Nllb

by Meta AI Research

“I encourage you to look at the research supercluster enabled this team to dramatically speed up their training times”

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📄 Papers×1 mentions

Mtia Meta Training And Inference Accelerator Paper

by Meta

“more details about these results can be found in our upcoming paper for the isca conference industry track later this year”

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📄 Papers×1 mentions

Code Compose Blog Post And Paper

by Meta

“we are publishing a blog post and paper with more details about code compose that said we are still early in our work in this space so we look forward to sharing more”

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📄 Papers×1 mentions

Berry And Mondragon 1987

“which were proposed in [Berry and Mondragon 1987, Proc. R. Soc. A 412 53)”

paper: Neutrino Billiards Model Relativistic Quantum Chaos with Graphene Realization Potential — 2026-04-15
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Entropy Computing Paradigm

by Nguyen et. al.

“Our proposal can either be viewed as an implementation of the entropy computing paradigm presented in [Nguyen et. al. Communications Physics 1, 411, 8]”

paper: Zeno Blockade Enables Optical Quantum Optimizer for Weighted Maximum Independent Set — 2026-04-15
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Jones Nguyen And Nguyen 2020

“This guarantee also depends on the currently best algorithm for DS-fair k-center given by Jones, Nguyen and Nguyen (2020).”

paper: Constant-Factor Approximations Achieved for Doubly Constrained Fair Clustering in k-Center, k-Median, and k-Means — 2026-04-20
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