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Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.

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  1. Evidence-Guided Detection, Localization and Explanation for Text-Centric Image Forensics taaft The rapid progress of AIGC has made text-centric image manipulation increasingly accessible, creati… 2026-09-02 published
  2. Evidential Deep Learning for Multi-Modal Anti-UAV Detection taaft Anti-UAV systems increasingly fuse multiple sensors, yet their detection heads provide no per-modal… 2026-09-01 published
  3. EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities taaft Frontier language models that refuse harmful single-turn prompts often comply when the same intent… 2026-08-31 published
  4. EvoHarmBench: Breaking Content Moderation with Iterative Human-Like Evasion taaft Existing evaluations of harmful content detection rely predominantly on static benchmarks, which st… 2026-08-28 published
  5. Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons taaft Unmanned aerial vehicles (UAVs) have been widely used in urban missions, and proper planning of UAV… 2026-03-23 published
  6. Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment taaft Large language models are increasingly required to generate responses that satisfy multiple competi… 2026-08-30 published
  7. Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models taaft Large Language Models (LLMs) have been widely deployed, especially through free Web-based applicati… 2026-03-20 published
  8. EVOMAL: Self-Poisoning in Self-Evolving Coding Agents taaft Self-evolving LLM coding agents write their own tools by imitating retrieved skills from shared ski… 2026-08-26 published
  9. EvoMem: Memory-Augmented Evolution for Code Optimization taaft Successful mutation strategies in evolutionary code search may contain reusable knowledge that is u… 2026-08-11 published
  10. EvoSkill Injection: Red-Teaming Autonomous Skill Generation and Evolution in Self-Evolving Agents taaft LLM-based agent systems increasingly adopt skill-based architectures to reduce repetitive reasoning… 2026-08-31 published
  11. Ex-Sim(3)-Reg: 2D-3D Correspondence Pruning via Extended Sim(3) Registration taaft Learning-based image-to-point-cloud (I2P) registration has garnered increasing attention in recent… 2026-08-28 published
  12. Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Models taaft The Johnson-Lindenstrauss (JL) lemma guarantees that a random projection of $n$ points to $m=O(\var… 2026-09-02 published
  13. Exact Recovery Thresholds for Weighted Data Selection in Vector-Valued Linear Regression taaft We resolve the threshold part of Question 4 of the COLT 2025 open problem "Data Selection for Regre… 2026-08-31 published
  14. Exact Risk Ratios for Weighted Data Selection in Linear Regression taaft Hanneke, Moran, Shlimovich and Yehudayoff (COLT 2025) posed the following open problem. A selector… 2026-08-28 published
  15. Examining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning taaft Human interventions at fault points can alter the diagnostic accuracy of multi-agent medical system… 2026-09-02 published
  16. Example-based Robust Abnormality Detection with Minimal Annotations using Exemplar Med-DETR taaft Reducing annotation requirements remains a key challenge in developing robust medical object detect… 2026-08-25 published
  17. EXAONE Tabular 1.0 : Technical Report taaft EXAONE Tabular is a compact tabular foundation model family for classification and regression via i… 2026-08-26 published
  18. ExecRetrieval: Measuring the Functional-Correctness Gap in Code-Embedding Retrieval taaft Embedding-based code retrieval is a core component of coding agents and retrieval-augmented code ge… 2026-09-01 published
  19. Exemplar: Classical Priors Complement Frozen Features for Few-Shot Microscopy Segmentation at Native Resolution taaft Segmenting a new biomedical dataset usually means a domain-specific model trained on substantial an… 2026-09-02 published
  20. ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge Graphs taaft Large Vision-Language Models (LVLMs) achieve strong performance on image-grounded text generation a… 2026-09-01 published
  21. Expert Knowledge & Machine Understanding: Bridging Reactome's Ontology with LLM Semantic Embeddings taaft Biological knowledgebases like Reactome provide high-quality pathways that include biological eleme… 2026-08-28 published
  22. ExpertPrompting: Instructing Large Language Models to be Distinguished Experts taaft The answering quality of an aligned large language model (LLM) can be drastically improved if treat… 2023-05-24 published
  23. Explainable Diabetic Retinopathy Classification Using Vision Foundation Models taaft Diabetic retinopathy (DR) is a major cause of preventable blindness, creating a need for accurate a… 2026-08-28 published
  24. Explainable Uncertainty Estimation for Reliable Medical AI taaft Artificial intelligence has strong potential to support clinical decision-making, yet its adoption… 2026-08-28 published
  25. Explanations from Large Language Models Make Small Reasoners Better taaft Integrating free-text explanations to in-context learning of large language models (LLM) is shown t… 2022-10-13 published
  26. Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection taaft Self-attention based Transformer has demonstrated the state-of-the-art performances in a number of… 2019-12-25 published
  27. Exploiting Urban Scenes for Vision-aided Inertial Navigation Intheon This paper improves vision-aided inertial navigation systems (VINS) — used for tracking a robot or… Intheon
  28. Exploration-Driven Personalized Federated Reinforcement Learning via Intrinsic Motivation taaft Personalized Federated Reinforcement Learning (PFRL) takes a decentralized approach to storing and… 2026-08-11 published
  29. Explore Before Committing: Hypothesis-Guided Search for Deep Research Agents taaft Deep-research agents answer complex questions by interacting with search and browsing tools, yet th… 2026-09-01 published
  30. Exploring Collaboration between a language and a non-language agent taaft LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve comp… 2026-08-31 published
  31. Exploring Sparse Autoencoders in Text-Based Causal Confounding Adjustment taaft In many settings, studying causal questions based on text data requires adjusting for confounding i… 2026-09-01 published
  32. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Google Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned o… 2019-10-23 published
  33. Exponential random graph models with soft clique constraints taaft Let $r\geq3$ be fixed, and let $\mathbf{G}_n$ be the set of all simple graphs with vertex set $[n]=… 2026-08-31 published
  34. EXPOSE: Explainable and Domain-Robust Embeddings from Pathology Vision Foundation Models using Sparse Autoencoders taaft Vision Foundation Models (VFMs) are widely used in computational pathology but remain sensitive to… 2026-08-28 published
  35. Extending Audio Masked Autoencoders Toward Audio Restoration taaft Audio classification and restoration are among major downstream tasks in audio signal processing. H… 2023-05-11 published
  36. Extractable Memorization From First Principles taaft Recent work on extractable memorization in language models suffers from two contrasting validity pr… 2026-07-14 published