Papers
3,241 in the directory.
Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.
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Use the summary to find relevant work, then read the original paper. Compare the method, evaluation setting, baselines and limitations with your own problem. Check whether code and datasets are available; a reported benchmark result may not transfer to your use case.
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Addressing Trust in AI Systems through Education: A Didactic Perspective taaft Machine learning (ML) education faces two persistent and connected obstacles: many educational tool… 2026-09-02 published
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aDSL: Agentic 3D Creation via Joint Agent-Program Design taaft Programmatic representations provide a compelling paradigm for 3D content creation, enabling fine-g… 2026-08-18 published
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Advances in Machine Learning for Directed Evolution: A Five-Year Retrospective taaft The last five-plus years have seen many protein engineering disciplines transformed by advances in… 2026-09-02 published
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Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mining taaft As a precursor to high-dimensional biomedical data modeling, reliable feature selection can reduce… 2026-08-28 published
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Advancing LLM Reasoning Generalists with Preference Trees taaft We introduce Eurus, a suite of large language models (LLMs) optimized for reasoning. Finetuned from… 2024-04-02 published
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Advantage-Driven Explicit Memory for Social Navigation taaft Robot policies are predominantly learned with classical parametric variants of imitation learning o… 2026-08-26 published
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Adversarial Online Classification with a Preview taaft Worst-case online classification is governed by sequential complexity, such as Littlestone dimensio… 2026-08-30 published
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Adversarial-Robust Multivariate Time-Series Anomaly Detection via Joint Information Retention taaft Time-series anomaly detection (TSAD) is a critical component in monitoring complex systems, yet mod… 2026-03-26 published
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AERA: Adaptive Evidence Residual Allocation for Efficient Test-Time Reasoning taaft Test-time scaling improves language-model reasoning by generating additional candidate solutions, b… 2026-08-28 published
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Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning taaft Tendon-driven hands are anthropomorphic, and moving the actuators off the joints is what makes a ha… 2026-08-28 published
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AffectDelta: Beyond Emotion Labels for Image Editing taaft Emotion-driven image editing aims to evoke a specified target emotion by modifying emotion-relevant… 2026-09-02 published
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AffineTok: Semantic Affine Consistency for Diffusion-Friendly Visual Tokenizer taaft Visual tokenizers increasingly inject semantic supervision into latent spaces to make downstream di… 2026-08-24 published
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AG-EgoPose: Leveraging Action-Guided Motion and Kinematic Joint Encoding for Egocentric 3D Pose Estimation taaft Monocular egocentric 3D pose estimation is difficult because severe foreshortening, self-occlusion,… 2026-03-26 published
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Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agents taaft Long-horizon agents execute thousands of actions, resulting in sequential failures rather than isol… 2026-09-01 published
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Agent Memory Is a Surface for Endogenous Authorization Laundering taaft Long-running LLM agents rely on persistent memory to carry state across interactions, including per… 2026-09-01 published
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Agent Zero Memory: Provenance-Aware Long-Term Memory for LLM Agents taaft Large language model (LLM) agents need durable, faithful memory of everything a user or organizatio… 2026-08-30 published
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AGENT: A Benchmark for Core Psychological Reasoning taaft For machine agents to successfully interact with humans in real-world settings, they will need to d… 2021-02-24 published
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AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents taaft Evaluating Large Language Models (LLMs) as general-purpose agents is essential for understanding th… 2024-01-24 published
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AgentFactory: Towards Automated Agentic System Design and Optimization taaft Large Language Models (LLMs) have demonstrated remarkable capabilities as powerful components in ag… 2026-09-01 published
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AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling taaft LLM-agent training pipelines routinely discard failed trajectories even though GPT-4o achieves only… 2026-03-22 published
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AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers taaft As LLMs evolve from code completion systems into autonomous scientific agents, evaluating their abi… 2026-07-31 published
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Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements taaft Reinforcement Learning (RL) has been promising in single-turn LLM fine-tuning. However, long-horizo… 2026-08-18 published
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Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models taaft A common strategy for scaling world models is to train on more crawled video with more compute. We… 2026-08-26 published
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Agentic Multimodal Models for Environmental Hyperspectral Unmixing taaft Hyperspectral unmixing is a key task in remote sensing that aims to decompose mixed pixels in hyper… 2026-09-01 published
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Agentic programs: an emerging form of scientific software in computational materials science taaft Computational materials science has traditionally delegated algorithmic tasks to computers while le… 2026-09-01 published
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Agentic-Ideation: Sample Efficient Agentic Trajectories Synthesis for Scientific Ideation Agents taaft Ideation plays a pivotal role in scientific discovery. Recent LLM, especially AI Scientist systems,… 2026-06-30 published
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AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use taaft Modern industrial applications increasingly demand language models that act as agents, capable of m… 2026-04-23 published
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AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizing taaft Retrieval-Augmented Generation (RAG) improves the factuality of large language models (LLMs), yet e… 2026-08-30 published
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AgentJudgeBench: A Multi-Difficulty Benchmark for Evaluating LLM Judges on Agentic Tool-Calling taaft LLM judges are widely used to evaluate agentic tool-calling systems, yet their reliability on struc… 2026-08-27 published
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AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale taaft Agents learn to act through interaction with environments, yet the environments used for training a… 2026-08-21 published
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AgentRVOS: Reasoning over Object Tracks for Zero-Shot Referring Video Object Segmentation taaft Referring Video Object Segmentation (RVOS) aims to segment a target object throughout a video given… 2026-03-24 published
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Agents in the Large: Perception-Centered Architecture for Persistent Agents taaft Cognitive language agents have achieved substantial progress by equipping language models with memo… 2026-08-31 published
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Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networks taaft Future 6G networks will rely on Large Language Model (LLM) agents to manage the Radio Access Networ… 2026-09-01 published
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Aggregating Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval taaft Content-based image retrieval (CBIR) has advanced significantly with deep learning, yet effectively… 2026-09-02 published
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AGI Maze Prediction Datasets: A Compact Benchmark for Learning World Dynamics with Transformers taaft World modeling requires a predictive model to maintain and update an internal state adequate for re… 2026-09-02 published
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AGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policies taaft Frozen vision-language-action (VLA) policies offer broad manipulation skills but execute open-loop… 2026-08-30 published