Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,312In brief24More (on-topic)3,333Not relevant13,753Not assessed87Older351Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| ActionOPD: Distilling Decisions, Not Tokens This paper proposes an on-policy distillation method that aligns student agents using semantic actions rather than token-level supervision. Ranked #70New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Focuses on distilling multi-step language model agents using semantic action supervision. | |
| The Last Remote Sensing Model Built by Humans? Casting Any Earth Observation Task as Recursive Self-Improvement This paper frames Earth observation model development as an automated loop where coding agents build and iteratively refine models using verifiable harnesses. Ranked #70New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Demonstrates general-purpose coding agents implementing and refining machine learning software recipes. | |
| agent-risk: Risk Assessment for Changes to AI Agents Provides a framework for assessing risks of proposed changes to deployed AI agents by selectively replaying execution logs and saved states. Ranked #70New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Focuses directly on safety gates, risk assessment, and reliability when updating deployed agents. | |
| ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction Agents Introduces ProgramGym, a framework providing verifiable sandbox environments and black-box test feedback for training long-horizon program reproduction agents. Ranked #70New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces ProgramBench and verifiable training environments to evaluate long-horizon coding agents. | |
| Seeing is Believing: Benchmarking and Mitigating the Interference of Language Priors on Visual Perception in MLLMs The paper benchmarks how language priors override visual evidence in multimodal models and proposes an adaptation technique to mitigate them. Ranked #71Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Investigates multimodal LLM failures caused by language priors overriding visual input. | |
| LEV: Thinking Fast and Deep with Looped Decision Models The paper presents a decision model that performs deeper reasoning by looping its layers instead of generating output tokens. Ranked #71Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Focuses on efficient inference using looped layers and dynamic early stopping to save compute. | |
| GraphRAG-LTM: A Layered Threat Modeling Framework for Attacks on Graph Retrieval-Augmented Generation The paper introduces a threat modeling framework examining adversarial query demotion and graph edit attacks on graph-based RAG systems. Ranked #71New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Develops a threat modeling framework analyzing vulnerabilities in graph retrieval-augmented generation pipelines. | |
| StateHarness: Maintaining Evolving Project State for Long-Horizon Coding Agents The paper presents a runtime framework that tracks evolving repository state and dependencies to assist long-horizon coding agents. Ranked #71New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Directly targets long-horizon software engineering agents maintaining repository context and edits. | |
| A Decade in a Day: Synthesizing Agent-Native Interfaces from Human-Oriented Software Evolution The paper introduces a benchmark measuring how software interface versions affect the task performance of desktop language model agents. Ranked #71New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces DeskIF-Bench to evaluate agent performance across evolving desktop software interfaces. | |
| Uncovering Robustness Weaknesses in LLM Agents via Persona Evolution with Task-Integrity Constraints This paper introduces TIPER, a method that evolves challenging user personas to test language model agent robustness without invalidating underlying tasks. Ranked #71New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Focuses on testing and uncovering failure modes and robustness weaknesses in deployed agents. | |
| ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction Agents Introduces ProgramGym, a framework providing verifiable sandbox environments and black-box test feedback for training long-horizon program reproduction agents. Ranked #71New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Designs multi-step program reproduction agents that explore codebases, plan, implement, and review code. | |
| Perception or Reasoning? Diagnosing and Tackling Reinforcement Learning Bottlenecks in VLMs Introduces an attribution metric to diagnose whether perceptual limits or reasoning gaps constrain reinforcement learning gains in vision-language models. Ranked #72New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Diagnoses perceptual versus reasoning bottlenecks when applying reinforcement learning to VLMs. | |
| Verdict: Encode Once, Decide Many The paper introduces an encoder architecture that processes input once to answer multiple structured classification queries simultaneously. Ranked #72New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Presents an encoder architecture that reduces compute by encoding state once for multiple questions. | |
| CARA: Causally Guided Retrieval Agent for Question Answering The paper guides knowledge-graph retrieval agents by evaluating the causal impact of evidence on answering questions rather than text similarity. Ranked #72New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Presents a causally guided retrieval agent to ground question answering on text-rich knowledge graphs. | |
| WildTrace: Evaluating Training Data Detection in Realistic Large-Scale LLM Post-Training This paper introduces WildTrace, a benchmark evaluating training data detection methods across realistic, multi-stage language model post-training pipelines. Ranked #72Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Addresses benchmark contamination and membership inference risks in post-trained models. | |
| LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity This paper introduces a benchmark with expert-written rubrics to evaluate deep research agents on real-world life and productivity tasks. Ranked #72New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces an extensive real-world benchmark to evaluate deep research agents. | |
| Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve This paper proposes a system where language model agents write code to create and refine tools directly over raw knowledge-graph files. Ranked #72New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Agents write and revise Python code to create custom tools and query databases. | |
| Work2Skill: Capturing Human GUI Experience for Reusable Agent Skill Induction Introduces a framework and multimodal dataset of human desktop demonstrations to induce reusable skills for computer-use agents. Ranked #72New testPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Introduces a framework and dataset for GUI computer-use agents learning reusable skills. | |
| Do VLAs Really Follow Instructions? Diagnosing How-Level Instruction Following in Vision-Language-Action Models Studies how vision-language-action models fail to follow process instructions and introduces a benchmark to measure instruction compliance. Ranked #73Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Evaluates instruction following in multimodal vision-language-action models. | |
| Prune the Summary, Not the History: Source-Judged Compaction for Long-Horizon Agents Introduces a method to filter unsupported compressor inferences from long-horizon agent summaries to avoid compounding execution errors. Ranked #73New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Prunes agent context summaries to reduce context size and compute overhead. | |
| Do Agents Need a New Kind of Paper? SPRA: Structured Paper Representation for Agents Creates a structured schema that converts research papers into connected scientific entities to improve retrieval-augmented generation for autonomous agents. Ranked #73New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Evaluates paper-level structured representation via Schema-RAG to improve source grounding and retrieval. | |
| The Last Mile of Coding Agents for Long-Document Tasks: An Empirical Study on Clinical Trial Protocol Digitization Introduces a benchmark evaluating how reliably software coding agents extract and digitize complex unstructured clinical trial protocol documents. Ranked #73New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates coding agents across five harnesses on automated PDF digitization and structured code execution. | |
| MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation The paper presents an evaluation benchmark assessing seven clinical process dimensions for healthcare agents across longitudinal workflows. Ranked #73New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Evaluates clinical conduct boundaries, authorization verification, and auditability for healthcare agents. | |
| A Decade in a Day: Synthesizing Agent-Native Interfaces from Human-Oriented Software Evolution The paper introduces a benchmark measuring how software interface versions affect the task performance of desktop language model agents. Ranked #73New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Designs agent-native interfaces to help LLM agents interact with desktop applications. | |
| WOVEN: Weaving Visual World Modeling into Multimodal LLMs Presents a benchmark and dataset using generative video rollouts to train and evaluate visual transition reasoning in multimodal models. Ranked #73New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces WOVEN, a benchmark evaluating multimodal models across scenes and reasoning types. | |
| Beyond Generation: Using Multimodal LLMs as Detectors of LLM-Generated Deepfake Facial Images Evaluates whether multimodal language models can detect AI-generated synthetic facial images using visual reasoning or digital artifacts. Ranked #74Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Investigates multimodal LLMs for visual synthetic media detection and consistency analysis. | |
| REKI: Registering Knowledge in VLAs The paper introduces a compact vision-language-action model using register tokens as persistent memory to reduce control oscillations in robotics. Ranked #74New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Designs a compact 2.4B vision-language-action model setting an efficient size-performance frontier. | |
| PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews Combines language models and lightweight decision models to fact-check statements in peer reviews against original manuscripts. Ranked #74New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Focuses on grounding and fact-checking statements against source documents efficiently. | |
| CLASHarness: Benchmarking Multi-Agent Conflict in Computer Use via a Controllable and Verifiable Generation Pipeline The paper presents a benchmark of 600 tasks to evaluate how well multi-agent vision-language systems handle conflicting information during computer use. Ranked #74New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 15:07 | On-topic Presents a benchmark for evaluating multi-agent conflict resolution in computer-use workflows. | |
| DecisionRobust: Benchmarking Robustness for JEV Style Decision Models Across Text and Vision The paper introduces a benchmark evaluating the robustness of typed decision models against text, image, and prompt injection attacks. Ranked #74New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces DecisionRobust, a benchmark systematically evaluating decision model reliability under adversarial perturbations. | |
| Agent-Canary-Mas: End-to-End Evaluation of Protocol Risk in Long-Horizon Multi-Agent Systems The paper introduces an evaluation framework measuring how communication protocol exploits propagate into task failures across multi-agent systems. Ranked #74New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Analyzes multi-agent protocol vulnerabilities, attacks, and contextual safety guards. | |
| SCCGBench: Executability-Oriented Evaluation for Real-World Web Service-Call Code Generation Introduces an execution-grounded benchmark to evaluate code generation for real-world web service and API calls across multiple models. Ranked #74New testPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:29 | On-topic Proposes a benchmark evaluating code LLMs on generating executable web service-call code. | |
| Do As I Do, Not As I Say: On-Policy Distillation Inherits the Teacher in Vision-Language Models Evaluates on-policy distillation versus supervised fine-tuning in vision-language models, analyzing how teacher reliability impacts student behavior. Ranked #75Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Studies on-policy distillation methods for training efficient student vision-language models. | |
| MYOPIA: Understanding the Limits of Tree-Based Reasoning in Vision-Language Models Introduces a benchmark evaluating decision tree reasoning in vision-language models, revealing accuracy drops compared to direct zero-shot prompting. Ranked #75Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Evaluates reasoning and attribute grounding in vision-language models using decision trees. | |
| Beyond Retrieval Failure: Understanding Why LLMs Miss Evidence in Multi-Hop RAG The paper introduces ExecutionRAG to show how search drift causes apparent retrieval failures in multi-hop question answering. Ranked #75New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Investigates search drift and evidence retrieval failures in multi-hop RAG systems. | |
| JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs The paper presents a benchmark and harness to delegate routine tool choices from large language models to cheaper decision models. Ranked #75New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces AgentDecisionBench to evaluate decision-making performance in running agent workflows. | |
| Re-executing Coding-Agent Evaluations: Unchanged Decisions and Unresolved Policy Risk The paper re-evaluates coding-agent benchmark results to measure sensitivity to test execution environments and grading configurations. Ranked #75Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:18 | On-topic Re-executes evaluations of coding-agent patches on SWE-bench. | |
| EdgeWise: Bringing Long-Horizon Agents to the Edge via Selective Cloud Delegation The paper proposes an edge-cloud collaboration framework that selectively delegates complex agent steps from local models to cloud models. Ranked #75New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Presents a multi-step agent framework optimizing task execution via selective cloud delegation. | |
| EvolvAttack: Backdooring self Evolving VLM Agents The paper introduces EvolvAttack, demonstrating a backdoor mechanism that activates only after a vision-language agent evolves its memory over time. Ranked #75Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Identifies a stealthy backdoor attack exploiting memory evolution in deployed AI agents. | |
| Architecting for Hardware Diversity: Meta's End-to-End Co-Design for High-Performance AI Training on AMD GPUs Shares hardware-model co-design techniques and analytical kernel selection for training large recommendation models on AMD GPUs. Ranked #76New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Describes hardware-model co-design and kernel optimization for efficient training on AMD GPUs. | |
| Aligning LLMs with Sparse Retrieval via Adaptive Sparse Supervision Proposes dynamic sparse supervision to align language model representations with neural sparse retrieval systems. Ranked #76Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:18 | On-topic Aligns LLMs for sparse retrieval to improve efficiency and relevance in document retrieval pipelines. | |
| Do As I Do, Not As I Say: On-Policy Distillation Inherits the Teacher in Vision-Language Models Evaluates on-policy distillation versus supervised fine-tuning in vision-language models, analyzing how teacher reliability impacts student behavior. Ranked #76Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Analyzes post-training distillation strategies specifically for vision-language models. | |
| Intern-Decision: Efficient Multimodal Decision Making with Autoregressive Masked Language Modeling Develops small multimodal models that output structured choices using masked language modeling to reduce inference latency in agent tasks. Ranked #76New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Designs efficient decision-making models for interactive multimodal agents choosing discrete actions. | |
| Verifier-Grounded Agentic RL for Provably Correct Code The paper introduces an agentic reinforcement learning approach that uses formal program verifier diagnostics as intermediate rewards to produce verified code. Ranked #76New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Uses verifier-grounded reinforcement learning and integrity audits to ensure provably reliable code generation. | |
| $τ$-Emotion-Bench: Exposing the Interaction Fragility of LLM Agents through Real-World User Emotions The paper introduces a benchmark to measure how tool-calling agents perform when interacting with emotionally varied, impatient users. Ranked #76New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces tau-Emotion-Bench to evaluate agent reliability and interaction fragility under user variation. | |
| Agent4Spec: An LLM-based Agentic System to Optimize API Specifications through Automated Validation and Market Analysis Presents Agent4Spec, a multi-agent framework that automatically validates OpenAPI syntax errors and identifies functional API gaps through market analysis. Ranked #76New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Focuses on validating, maintaining, and generating OpenAPI code and endpoint specifications. | |
| Close Enough is Nowhere Near: Fidelity-Consumability Decoupling in KV Caches This paper investigates direct key-value cache substitution between frozen language models and finds geometric similarity fails to ensure consumability. Ranked #77Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Studies KV cache sharing and cross-attention mechanisms to eliminate redundant model computation. | |
| Information-Gain Calibrated On-Policy Distillation for Deep Search Agents Develops an information-gain calibrated distillation method to improve retrieval query generation in search agents. Ranked #77New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:18 | On-topic Improves distillation for deep search agents that iteratively retrieve external evidence. | |
| Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following The paper analyzes reward hacking in verifiable instruction following and introduces a likelihood bonus method to maintain answer quality. Ranked #77Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Analyzes evaluation blind spots in verifiable instruction-following benchmarks and metrics. | |
| P2Patch: Exploit-Guided Vulnerability Repair The paper presents an adversarial framework where an exploitation agent iteratively attacks and refines automated patches generated by a repair agent. Ranked #77Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Addresses patching software vulnerabilities and evaluating adversarial robustness against exploits in deployment. | |
| OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding This paper introduces a benchmark to evaluate multimodal models on joint audio-visual temporal grounding, spatial grounding, and question answering. Ranked #77New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Provides a comprehensive benchmark for evaluating vision-language and omni-modal video understanding models. | |
| LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity This paper introduces a benchmark with expert-written rubrics to evaluate deep research agents on real-world life and productivity tasks. Ranked #77New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates autonomous research agents performing multi-step planning and web search. | |
| OnTrack: Real-Time Monitoring and Intervention in LLM Agent Trajectories via Streaming Structure-Aware Optimal Transport Proposes a streaming optimal transport method to monitor LLM agent trajectories in real time against reference runs. Ranked #77New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Evaluates real-time trajectory intervention specifically on software engineering agents in SWE-bench. | |
| Can Capability Enhancement be Localized? The study investigates whether removing small subsets of attention heads can improve language model performance on specific tasks. Ranked #78Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Studies whether targeted attention head pruning can enhance performance and model efficiency. | |
| Trajectory-Level Speculation with Semantic Verification for Tool-Using Agents Introduces a framework where a small model drafts tool-use trajectories and a larger model verifies them in single prefill passes. Ranked #78New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Proposes a speculative execution and verification framework specifically for multi-step tool-using LLM agents. | |
| Copy-Paste Language Models The paper proposes adding an explicit copy-paste prediction head to language models to improve in-context retrieval and copying efficiency. Ranked #78New way to see a problemPreprint5/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Explicitly designs copying heads to improve performance and operating points in retrieval setups. | |
| From Training to Escalation: Forensic Analysis and Local Recreation of RL/RLHF-Induced Privilege Escalation in AI Agents (CVE-2026-65616) Recreates and analyzes infrastructure misconfigurations that enabled privilege escalation and repository bypass during autonomous AI agent evaluations. Ranked #78Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Investigates RL-induced privilege escalation, exploit vulnerabilities, and containment safety. | |
| VideoJev: System One Model for Video Understanding and Interaction The paper adapts multimodal language models using scoring heads and computation caching for fast video decision-making and interaction. Ranked #78Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Adapts multimodal large language models for structured video understanding tasks. | |
| ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty The paper introduces ProbabilityBench to evaluate model uncertainty calibration against analytically computed, ground-truth instance-level probabilities across three text environments. Ranked #78New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents ProbabilityBench, a benchmark for evaluating model calibration and uncertainty estimation. | |
| Forms of LLM-Integrated Applications from LLM-Chats to Autonomous AI Agent System Surveys and taxonomizes recurring architectural patterns across language-model-integrated software applications, ranging from chatbots to autonomous agent systems. Ranked #78New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Analyzes the shared architectures and execution loops of coding agents from major providers. |
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