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 |
|---|---|---|---|
| Same Operation, Different Permission: Evaluating Whether Guardrails Honor Authorization The paper introduces a benchmark to evaluate whether language-model guardrails properly distinguish authorized from unauthorized actions across identical operations. Ranked #65New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Investigates guardrail reliability, blocking unauthorized actions while permitting valid permission. | |
| Returning to Development States: When Full Sandbox Snapshots Help Coding Agents Evaluates full sandbox snapshot exploration for coding agents, finding benefits primarily when recovery requires restoring runtime dependencies outside Git repositories. Ranked #65Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:29 | On-topic Directly focuses on state restoration and sandbox snapshots to improve autonomous coding agents on software tasks. | |
| Thinking Inertia: LLMs Keep Thinking When Told Not To The paper defines evaluation metrics to show that language models continue generating reasoning traces even when instructed not to think. Ranked #65Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Proposes new metrics and evaluation frameworks to measure LLM thinking mode compliance. | |
| Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AI Investigates how user trust influences delegation and verification choices during human interaction with multimodal video question-answering systems. Ranked #66New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Examines human delegation and verification behaviors when interacting with multimodal AI video systems. | |
| Beyond State Capacity: Why Retrieval Breaks in Mamba The paper analyzes retrieval failures in Mamba architectures under query-first settings and explores token representations and selection gates. Ranked #66Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Analyzes internal limitations of Mamba, a key efficient linear-attention architecture candidate. | |
| Harness^2: Recursive Agent Harnessing for an Open World The authors propose a two-level recursive self-improvement framework to evolve and refine execution harnesses for open-world agents. Ranked #66New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Presents recursive self-improvement frameworks to evolve LLM agent harnesses for open-world tasks. | |
| AuthGateBench: Benchmarking LLMs as Authorization Gate Introduces a policy-guided benchmark evaluating language models acting as authorization gates for tool-using coding agents. Ranked #66New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Studies authorization failure modes and preventing scope escalation in deployment. | |
| RoTA-Bench: Evaluating 3D Spatial Reasoning through Interactive Projection Alignment Introduces RoTA-Bench to evaluate vision-language models on 3D spatial reasoning through interactive object rotation to match target 2D silhouettes. Ranked #66Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces RoTA-Bench to evaluate vision-language models on 3D spatial reasoning. | |
| Graph-free Retrieval with Graph-Modified Embeddings The authors evaluate offline graph-modified embeddings for vector retrieval, improving multi-hop evidence recovery without requiring query-time graph access. Ranked #66New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Improves knowledge retrieval for RAG using graph-modified embeddings without graph queries. | |
| Long Text to Predictive Features: LLM-Guided Blockwise Feature Engineering via Executable Program Search Presents a framework that uses language models offline to generate executable feature-engineering code for tabular risk models. Ranked #66New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Proposes an LLM-guided system that writes and executes programs for automated feature engineering. | |
| Cross-Prompt Inference Mitigates Rare-Class Suppression in Imbalanced VLM Finetuning Introduces cross-prompt inference to recover rare-class recall drops caused by class-imbalanced finetuning in vision-language models. Ranked #67Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Addresses rare-class recall and prompt interactions during vision-language model finetuning. | |
| MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments The paper provides an open platform and environment suite for evaluating and training GUI agents with online reinforcement learning. Ranked #67New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Presents a unified evaluation platform and benchmark suite for GUI agents. | |
| Energy Consumption Analysis of Discrete Diffusion and Autoregressive Language Models Benchmarks the inference energy efficiency of diffusion language models compared to standard autoregressive architectures. Ranked #67Surprising resultPeer-reviewed7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Compares inference energy efficiency and Joules-per-token across diffusion and autoregressive LLMs. | |
| LLM-based User-Product Relevance Evaluation for Dynamic Product Advertising The paper introduces a large language model-based metric for offline evaluation of user-product relevance in dynamic product advertising retrieval. Ranked #67New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Evaluates user-product relevance and quality within dynamic product retrieval systems. | |
| When Agent Evaluation Becomes Unreliable: An Empirical Study of Oracle Failures and Configuration-Dependent Measurement in an LLM Agent Benchmark The paper audits agent evaluation benchmarks for software defects, showing that broken reward functions and configuration shifts substantially distort reported success rates. Ranked #67New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Investigates testing reliability defects and state-integrity failures in deployed agent systems. | |
| Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards The paper presents a dataset and framework with dense progressive rewards to train language agents on long-horizon tasks. Ranked #67New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Introduces environments and dense rewards for training autonomous long-horizon LLM agents. | |
| Leakage-Resistant Evaluation of AI-Generated Database Specifications in Specification-Driven Migration Evaluates LLM judges assessing AI-generated database specifications against trivial baselines using a leakage-resistant benchmark. Ranked #67Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:29 | On-topic Benchmarks LLM judges evaluating AI-generated database specifications in software migration. | |
| Loud and Clear: Making Visual Evidence Count in Multimodal Document RAG The paper examines how increasing visual token budgets and cropping key evidence improves document retrieval-augmented generation in vision-language models. Ranked #68Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Examines vision-language model comprehension of complex multimodal document pages. | |
| RoleQ: Role-Aligned Scales for Converting Language Models to Ternary Proposes a structural scaling method based on transformer unit roles to convert language models to ternary weights effectively. Ranked #68Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Introduces a method to quantize language models to ternary weights for efficient deployment. | |
| Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents The paper introduces a benchmark evaluating how well language models engineer isolated execution harnesses for coding agents using specification documents. Ranked #68New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Benchmarks how well models build harnesses that govern tool-using coding agents. | |
| Self-improving data synthesis can scale embedding models across domains and tasks This paper introduces a self-improving synthetic data generation pipeline to train embedding models across diverse retrieval domains without extensive manual annotation. Ranked #68New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Improves embedding models used for information retrieval and RAG through synthetic data. | |
| When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems The paper investigates privacy leakage caused by multi-agent network topologies and proposes an execution sanitizer conditioned on recipient identity. Ranked #68Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Develops recipient-conditioned sanitization to stop privacy leakage across multi-agent system topologies. | |
| Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards The paper presents a dataset and framework with dense progressive rewards to train language agents on long-horizon tasks. Ranked #68New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents Tev-Gym, a new benchmark dataset for evaluating long-horizon agents. | |
| Cadence: Strategic Guidance for Coding Agents Introduces a dynamic monitoring framework that adaptively schedules runtime inspections and intervention guidance for coding agents. Ranked #68New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:29 | On-topic Proposes a runtime monitoring and intervention framework specifically for LLM coding agents solving SWE tasks. | |
| VELD-QA: A Large-Scale Dataset for Visual Evidence Grounding and Question Answering in Long Documents Presents a benchmark with human-annotated visual evidence to evaluate retrieval and question answering across long documents. Ranked #69New testPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Focuses on multimodal vision-language understanding of PDF charts and layouts. | |
| TRACER: Trajectory-Aware Tool Retrieval for LLM Agents Proposes a trajectory-aware retrieval method that indexes tool sequences in a trie to cut token costs and improve selection accuracy. Ranked #69New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Significantly reduces prompt token overhead and inference compute for large tool registries. | |
| Reliable Knowledge Acquisition for Continual Learning Agents Proposes a structured knowledge admission and verification system to prevent continual learning agents from storing harmful past experience entries. Ranked #69Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Addresses dynamic context admission and evidence-grounded knowledge reuse. | |
| Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents The paper introduces a benchmark evaluating how well language models engineer isolated execution harnesses for coding agents using specification documents. Ranked #69New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces a two-stage benchmark measuring long-horizon harness engineering for agents. | |
| Vela: User Behavior as Supervision Sparks LLM Intelligence This paper presents a framework that converts long-term real user behavior records into supervisory tasks to train personalization-focused language models. Ranked #69New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Uses long-term user interaction trajectories to train personal-assistant agents. | |
| TRAP: Tool-result Replay Attack for Probing Misbinding in LLM Agents Presents a benchmark and attack method to evaluate failures caused by tool results misbinding to incorrect execution contexts in LLM agents. Ranked #69Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Investigates safety vulnerabilities and execution integrity risks during tool-use deployment. | |
| SEAR: Self-Evolving Agentic Robotics The paper presents a framework and benchmark to evaluate whether self-evolving robotic agents genuinely learn reusable skills across tasks. Ranked #69New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Examines LLMs generating, testing, and retaining robot control code. | |
| 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 #70New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Integrates vision-language models with action prediction experts for multimodal robotic control. | |
| System1-Arena: Which Decisions Can Be Left to System 1? Introduces a benchmark evaluating single-forward-pass discrete decision models versus generative reasoning models across diverse closed-loop tasks. Ranked #70New testPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Evaluates low-latency, lower-cost single-forward-pass alternatives to expensive reasoning models. | |
| Cascaded Retrieval with Cross-Modal Query Refinement for Efficient Visual Document Search This paper proposes SCOUT, a cascaded two-track framework combining visual candidate filtering, offline semantic summaries, and query refinement for document retrieval. Ranked #70New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Proposes an efficient cascaded retrieval and reranking framework for visually rich documents. | |
| 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. |
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