Langchainagents
βfrom langchain.agents import load_tools from langchain.agents import initialize_agent from langchain.agents import AgentTypeβ
What the smart people are recommending. 7786 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.
βfrom langchain.agents import load_tools from langchain.agents import initialize_agent from langchain.agents import AgentTypeβ
βToy demonstration of chain-of-thought and consensus prompting using OpenAI API.β
βfrom langchain.vectorstores import Chromaβ
βfrom langchain.schema.runnable import RunnablePassthroughβ
βqmd-query-expansion-1.7B-q4_k_m | Query expansion (fine-tuned)β
βfrom langchain.schema.runnable import RunnableMapβ
βfrom langchain.schema import format_documentβ
βCodes are released at https://github.com/Yuzhe-Fu/FlashFPS.β
βfrom langchain.memory import ConversationBufferMemoryβ
βit uses FX Twitter's API, which is apparently free.β
βThen it goes to the lowcost tier 2 which is the twitterapi.io. And I'm still playing around with this. I'm kind of new to this service, but it's a relatively inexpensive way to query against Twitter.β
βThen I use the expensive tier three as another fallback. The official X API v2.β
βOcean's 11. I love that movie. Fantastic.β
βTo support reproducibility and future work, we additionally release PLUM (Politeness Levels in Utterances, Multilingual), a publicly available corpus of 1,500 human-validated prompts across three langβ¦β
βFirst, we release MiniF2F-Hard and FIMO-Hard, expert-reannotated Hard Mode variants of two widely-used ATP benchmarks.β
βRelease of Gemini 3.1 Flash Lite to Developers in the Google APIβ
βMy name is Neil Agarwal and I'm excited to present Mowgli, passively learned rate control for realtime video.β
βTo get started and learn more, including important safety information, with Govee clinical study information and restrictions, visit hims.com or forhers.com.β
βTo get started and learn more, including important safety information, with Govee clinical study information and restrictions, visit hims.com or forhers.com.β
βI 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 understandiβ¦β
βA potent reminder from Jack Kornfield in this episode 320 of the Heart Wisdom Podcast, A guided meditation for grounding, gratitude, and presence.β
βI highly recommend heading to jackcornfield.com and signing up for his year-long program, Living the Dharma in a Troubled World.β
βI highly recommend heading to jackcornfield.com and signing up for his year-long program, Living the Dharma in a Troubled World.β
βJack 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 β¦β
βAnd the equivalent of a move 37 would be like alpha tensor finding a new algorithm that makes you know matrix multiplication faster.β
βIntroducing 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 aβ¦β
βTo hear more from Berber, listen to tomorrow's episode of Tech News Briefing.β
βHe has a fantastic website called I think grateful or gratitude dot org full of practices of gratitude.β
βAnd there's a great book some of your listeners may have read called Anti-Fragile by the famous risk options trader Nassim Talib.β
βThis framework provides a compact and physically transparent tool for analyzing and optimizing digitally stabilized lasers in integrated photonic systems.β
βTo 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 needsβ¦β
βOur code is available at https://github.com/happywinder/SCHK-HTC.β
βOur programs include supporting Community Driven research and this is a cross fundamental machine learning topics we have the C4 AI Scholars Programβ
βPablo was organizing Ria which is this conference that was in Ecuador in Quito for the first timeβ
βWe 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 relevaβ¦β
βHere's your afternoon TNB Tech Minute for Monday, April 6th.β
βThat also echoes what Carl Young says. Who looks outside dreams. Who looks inside awakes.β
βWe'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.β
βWe conduct evaluations on our released open-source testbed that integrates Microsoft AirSim with an NVIDIA Jetson Orin Nano.β
βWe conduct evaluations on our released open-source testbed that integrates Microsoft AirSim with an NVIDIA Jetson Orin Nano.β
βThis 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 ratheβ¦β
βWith 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 inβ¦β
βThese results show that SBBTS provides a practical and effective framework for realistic time series generation and data augmentation in financial applications.β
βIn 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.β
βPropositional Linear Temporal Logic (LTL) is a popular formalism for specifying desirable requirements and security and privacy policies for software, networks, and systems.β
βTo address this gap, we introduce TraceSafe-Bench, the first comprehensive benchmark specifically designed to assess mid-trajectory safety.β
βWe 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.β
βBuilt 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 β¦β
βWe introduce MoRight, a unified framework that addresses both limitations through disentangled motion modeling.β
βThe code is available at https://github.com/huidong-ma/FADE.β
βThis 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 β¦β
βWe initiate the study of differentially private (DP) language identification and generation in the agnostic statistical setting, establishing algorithms and matching lower bounds that precisely quantiβ¦β
βThe dataset and prompts are available at https://github.com/Hapluckyy/EVGeoQA/.β
βTo address this, we propose Mixed-Initiative Context, which reconceptualizes the context formed across multi-turn interactions as an explicit, structured, and manipulable interactive object.β
βTo 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 expβ¦β
βTo address these challenges, we propose STRIDE-ED, a STRategy-grounded, Interpretable, and DEep reasoning framework that models Empathetic Dialogue through structured, strategy-conditioned reasoning.β
βWe 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 (Eβ¦β
βCode and models are released on our project page: https://m80hz.github.io/kite/β
βWe 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 cβ¦β
βWe propose the Separation of Power (SoP) model, a constitutional governance architecture deployed on public blockchain that breaks this monopoly through three structural separationsβ
βThe paper introduces, ClickGuard: a trustworthy adaptive fusion framework for clickbait detection.β
βCode of the work is available at: https://github.com/palindromeRice/ClickBait_Detection_Architectureβ
βCode available at https://github.com/ryliu68/CAAP.β
βBy open-sourcing both the engine and the 3M-scale dataset, we provide a robust foundation to accelerate future research in spatial intelligence.β
βIn this paper, we address this tradeoff by proposing ReDAct (Reason-Defer-Act).β
βWe 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 mulβ¦β
βWe 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 Rβ¦β
βTo 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.β
βTo 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.β
βWe 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 thaβ¦β
βTo 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 matchiβ¦β
βIn 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 β¦β
βWe introduce A-MBER, an Affective Memory Benchmark for Emotion Recognition, to evaluate this capability.β
βTo enhance the understanding and interaction with UIs, we propose an innovative GUI reasoning paradigm called UI-in-the-Loop (UILoop).β
βCorrespondingly, we contribute a benchmark of 26K samples (UI Comprehension-Bench) to comprehensively evaluate existing methods' mastery of UI elements.β
βWe introduces EmoMAS, a Bayesian multi-agent framework that transforms emotional decision-making from reactive to strategic.β
βConceptTracer is available at https://github.com/ml-lab-htw/concept-tracer.β
βthis study introduces Continuous Interpretive Steering (CIS), a method that probes graded pragmatic interpretation by treating activation-level steering strength as a continuous experimental variable.β
βTo support this analysis, this study introduces a new dataset, GraSD, which encodes graded scalar diversity.β
βOur approach introduces a unified framework, termed DP-TOST, for conducting differentially private equivalence testing of both means and proportions.β
βWe 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 tβ¦β
βIn this work, we introduce In-Place Test-Time Training (In-Place TTT), a framework that seamlessly endows LLMs with Test-Time Training ability.β
βFor 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, fβ¦β
βTax Act is here anytime you want to easily file your taxes. Tax Act. Let's get them over with.β
βSave on grills and patio sets with low prices guaranteed during Spring Black Friday, only at the Home Depot.β
βif you like no theater it's called benke on the bridge and it was written in the 15th centuryβ
βsearch The Rest is Politics Leading wherever you get your podcasts.β
βThis paper provides a controlled benchmark of embedding choices for graph classification, comparing classical baselines with quantum-oriented node representations under a unified pipeline.β
βTo address these challenges, we introduce O3LS, a framework for optimizing lattice surgery through automatic layout search and loose scheduling.β
βWe release a reproducible benchmark pipeline, aggregated results, and paired statistical analyses to support deployment-oriented evaluation of reasoning LLMs under real resource constraints.β
βThis suggests that iTAG-generated data can serve as a practical surrogate for scalable benchmarking of text-based causal discovery algorithms.β
βWe 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 alβ¦β
βCross-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 β¦β
βWe introduce MARS (Mask AutoRegreSsion), a lightweight fine-tuning method that teaches an instruction-tuned AR model to predict multiple tokens per forward pass.β
βOur code and datasets are available at \href{https://github.com/xbdxwyh/ChunQiuTR}{\texttt{github.com/xbdxwyh/ChunQiuTR}}.β
βIn 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 oveβ¦β
βWe 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 multβ¦β
βlearn more at lumen.comβ
βAdditionally, 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.β
βWe propose WRAP++ (Web discoveRy Amplified Pretraining), which amplifies the associative context of factual knowledge by discovering cross-document relationships from web hyperlinks and synthesizing jβ¦β