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 |
|---|---|---|---|
| OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use The paper introduces an open-source framework and codebase for building generalist computer-use agents that operate across visual and code interfaces. In brief · #1New way to see a problemPreprint8/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Builds generalist computer-use agents combining visual interfaces and programmatic execution. | |
| Beyond Downstream QA: Rethinking How We Evaluate Agent Memory The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures. In brief · #1Surprising resultPreprint8/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Addresses memory retrieval and ingestion quality across evolving multi-author documents. | |
| More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning The paper benchmarks ten self-distillation methods in agentic reinforcement learning across varied model sizes, tasks, and computational costs. Ranked #1Surprising resultPreprint8/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Focuses on self-distillation methods and training cost efficiency for agent models. | |
| Robust Logical Anomaly Detection under Capture Shifts via Synthetic Anomalies Examines industrial logical anomaly detection under capture shifts and proposes a reference-free classifier trained on synthetic anomalies. In brief · #1Surprising resultPreprint8/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 06:18 | On-topic Focuses directly on robust logical anomaly detection under shift for industrial inspection benchmarks. | |
| AgentSWE: Can Coding Agents Build the Agent You Actually Want? Introduces AgentSWE, a 25-task benchmark evaluating whether coding agents can build, edit, and optimize other software agents against user requirements. In brief · #1Surprising resultPreprint9/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Evaluates coding agents building and editing complete autonomous agent workflows over multi-step tasks. | |
| AgentSWE: Can Coding Agents Build the Agent You Actually Want? Introduces AgentSWE, a 25-task benchmark evaluating whether coding agents can build, edit, and optimize other software agents against user requirements. Ranked #1Surprising resultPreprint9/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Tests behavioral alignment and failure modes when deploying agents built to specification. | |
| AgentSWE: Can Coding Agents Build the Agent You Actually Want? Introduces AgentSWE, a 25-task benchmark evaluating whether coding agents can build, edit, and optimize other software agents against user requirements. Ranked #1Surprising resultPreprint9/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Focuses directly on coding agents generating, editing, and repairing agent software codebases. | |
| AgentSWE: Can Coding Agents Build the Agent You Actually Want? Introduces AgentSWE, a 25-task benchmark evaluating whether coding agents can build, edit, and optimize other software agents against user requirements. Ranked #1Surprising resultPreprint9/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces AgentSWE, a novel benchmark and evaluation protocol assessing coding agents. | |
| VisualTrust: Video Reasoning under On-Screen Claim Framing Introduces a counterfactual benchmark to evaluate whether multimodal models erroneously defer to misleading on-screen text over video evidence. In brief · #2Surprising resultPreprint8/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Evaluates video-language models on text-video conflict and multimodal reasoning. | |
| Copying Is Not Grounding: Training Faithful Long-Form RAG with Authored-Sentence Credit Identifies passage copying as a failure mode in long-form retrieval systems and introduces sentence-level credit assignment to encourage genuine grounding. In brief · #2Surprising resultPreprint8/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Investigates grounding versus copying in long-form RAG, introducing sentence-level credit training. | |
| Last Secure Code Benchmark: Is the Code You Vibe Secure? This paper introduces a benchmark evaluating whether coding agents produce functionally correct code that also avoids real-world security vulnerabilities. In brief · #2Surprising resultPreprint9/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark evaluating the security and functionality of code generated by models. | |
| Last Secure Code Benchmark: Is the Code You Vibe Secure? This paper introduces a benchmark evaluating whether coding agents produce functionally correct code that also avoids real-world security vulnerabilities. Ranked #2Surprising resultPreprint9/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Directly assesses security risks and vulnerabilities produced by AI coding systems in deployment. | |
| TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents Analyzes coding-agent trajectories to model execution costs under prompt caching, showing turn count matters far more than observation token length. In brief · #2Surprising resultPeer-reviewed8/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Evaluates prefix caching, observation compression, and model delegation costs for efficient serving. | |
| Is In-Domain Training Enough for Fine-Grained Industrial Anomaly Understanding? Proposes a multi-agent framework combining general multimodal models with specialized visual experts for industrial defect detection and localization. In brief · #2Surprising resultPreprint8/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Addresses multimodal defect detection and industrial anomaly understanding in manufacturing. | |
| SWE-Duel: Towards a Self-Scaling Arena for Coding Agents Presents an arena benchmark where pairs of coding agents dynamically generate, test, and debug code against each other. In brief · #2New testPreprint9/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Evaluates multi-step coding agents interacting autonomously in an adversarial arena setup. | |
| SWE-Duel: Towards a Self-Scaling Arena for Coding Agents Presents an arena benchmark where pairs of coding agents dynamically generate, test, and debug code against each other. Ranked #2New testPreprint9/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Centers entirely on software engineering coding agents, pull requests, and automated program repair. | |
| My Credentials, Please: Detecting Filesystem Capability Laundering in MCP Servers at Scale Analyzes filesystem privilege escalation vulnerabilities in Model Context Protocol servers and develops a tool to detect them. In brief · #3Surprising resultPreprint9/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Investigates security vulnerabilities and privilege laundering in tool-calling agent servers. | |
| What You Sign Is Not What You Run: The Verifiability Gap in Quantized LLM Supply Chains This paper examines the verifiability gap in quantized model supply chains, showing that common GGUF artifacts lack necessary build environment disclosures. In brief · #3Surprising resultPreprint8/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Examines reproducibility and verifiability gaps in quantized GGUF LLM deployment pipelines. | |
| More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning The paper benchmarks ten self-distillation methods in agentic reinforcement learning across varied model sizes, tasks, and computational costs. In brief · #3Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Benchmarking self-distillation and RL algorithms across multiple agentic task environments. | |
| SWEeper-Bench: Can Agents Discover Bugs in Interactive Software? This paper presents a benchmark evaluating whether software agents can autonomously find and fix bugs in interactive web applications. In brief · #3New testPeer-reviewed8/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Introduces a benchmark evaluating coding agents on finding and fixing software bugs. | |
| Welcome to the Age of Agent Ads: Using On-Policy Attacks to Steer Agentic Decisions The paper investigates on-policy indirect manipulation attacks that steer autonomous agent purchasing and ranking decisions via web retrieval. In brief · #3Surprising resultPreprint8/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Analyzes how adversarial web search results poison agent grounding and option ranking. | |
| Right Screen, Wrong Transition: World Models as Verifiers for GUI Agents The paper introduces LGWM, an action-conditioned world model predicting next-screen latent representations to verify GUI agent state transitions. In brief · #3Surprising resultPreprint8/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Evaluates visual state transitions for GUI agents using visual screen representations. | |
| A Real-World CAD Segmentation Benchmark: Comparing Rule-Based and Learning-Based Approaches through Hole Detection Introduces a real-world CAD segmentation benchmark focused on fastener hole detection, comparing rule-based approaches with deep learning methods. In brief · #3New testPreprint7/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Introduces a real-world CAD segmentation and hole detection benchmark for engineering tasks. | |
| SWE-Duel: Towards a Self-Scaling Arena for Coding Agents Presents an arena benchmark where pairs of coding agents dynamically generate, test, and debug code against each other. Ranked #3New testPreprint9/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces SWE-Duel, a self-scaling dynamic evaluation arena and benchmark for coding agents. | |
| Making every stage of medical device document assessment with large language models deterministic The paper evaluates output non-determinism in commercial language model deployments during medical device regulatory compliance assessments. Ranked #4Surprising resultPreprint8/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Builds a fully deterministic pipeline spanning OCR, chunking, embedding, indexing, and retrieval. | |
| LED-BENCH: A Benchmark for Large-format Engineering Drawing Understanding The paper presents LED-BENCH, a multidisciplinary benchmark evaluating multimodal model understanding and complex reasoning across large-format engineering drawings. Ranked #4New testPreprint7/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 15:06 | On-topic Evaluates automated visual understanding of technical mechanical and architectural engineering drawings. | |
| More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning The paper benchmarks ten self-distillation methods in agentic reinforcement learning across varied model sizes, tasks, and computational costs. Ranked #4Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Provides a comprehensive empirical audit and comparison of self-distillation methods in agentic RL. | |
| SWEeper-Bench: Can Agents Discover Bugs in Interactive Software? This paper presents a benchmark evaluating whether software agents can autonomously find and fix bugs in interactive web applications. Ranked #4New testPeer-reviewed8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:19 | On-topic Evaluates failure detection and execution reliability in autonomous coding agents. | |
| Facts Don't Speak Louder than Words: The Behavioral Essence of Long-CoT Distillation The paper studies long chain-of-thought distillation and argues improvements stem from structured reasoning patterns rather than factual correctness. In brief · #4Surprising resultPreprint8/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates the mechanics of reasoning distillation to make reasoning models smaller and more efficient. | |
| SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity. In brief · #4New testPreprint8/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Benchmarks misbehaviors and mitigation strategies in software engineering agents. | |
| Is In-Domain Training Enough for Fine-Grained Industrial Anomaly Understanding? Proposes a multi-agent framework combining general multimodal models with specialized visual experts for industrial defect detection and localization. Ranked #4Surprising resultPreprint8/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates multimodal large language models performing industrial visual defect reasoning. | |
| APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces The paper introduces a benchmark evaluating agent susceptibility to prompt and script injections across multi-tool shared workspace environments. Ranked #4New testPreprint8/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Evaluates prompt and script injection attacks on multi-tool autonomous agents in shared workspaces. | |
| When the KV Cache Is Slower Than the GPU: Scaling Remote KV Tiers for Context-Parallel Prefill The paper analyzes performance bottlenecks when using remote key-value caches during context-parallel prefill in large language model serving. Ranked #5Surprising resultPreprint8/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Investigates remote KV cache tiering and context parallelism to optimize long-context LLM inference serving. | |
| Athanor: An Agent-Native System for Autonomous Post-Training Research Develops an open agent environment for evaluating how autonomously language agents can conduct post-training machine learning experiments. In brief · #5Surprising resultPreprint8/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Agents autonomously write, modify, and debug machine learning training scripts and code. | |
| Teaching Vision-Language Models to Decline: Support Completion Against Mirage The paper proposes a training method that teaches vision-language models to decline to answer when relevant visual evidence is missing. Ranked #5New way to see a problemPreprint8/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Trains vision-language models to decline ungrounded questions across invalid image inputs. | |
| The Thinking Leakage in Reinforcement Learning for LLMs The paper examines whether non-thinking mode reinforcement learning gains in hybrid reasoning models stem from leakage of thinking-mode activations. Ranked #5Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Examines behavioral and safety implications of internal thinking leakage. | |
| The Thinking Leakage in Reinforcement Learning for LLMs The paper examines whether non-thinking mode reinforcement learning gains in hybrid reasoning models stem from leakage of thinking-mode activations. In brief · #5Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Demonstrates evaluation confounds where RL gains stem from internal mode shifts. | |
| SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity. Ranked #5New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Studies boundary violations and tool failure mitigation in software coding agents. | |
| NovaSplat: Model-Free 6D Object Pose Estimation via 3D Gaussian Splatting Onboarding and Refinement Presents a model-free pipeline using smartphone-derived 3D Gaussian Splatting for novel object onboarding and 6D pose estimation. Ranked #5Surprising resultPreprint7/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Develops 6D object pose estimation evaluated on industrial benchmarks for novel objects. | |
| Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict Proposes an evaluation framework to measure how LLM agents handle uncertainty and resolve conflicting knowledge during execution. Ranked #5New way to see a problemPeer-reviewed7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Evaluates how agents handle knowledge conflicts between parametric memory and retrieved context evidence. | |
| Athanor: An Agent-Native System for Autonomous Post-Training Research Develops an open agent environment for evaluating how autonomously language agents can conduct post-training machine learning experiments. Ranked #6Surprising resultPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Evaluates multi-agent systems autonomously planning, executing, and modifying ML training runs. | |
| Visually Legible but Adversarial: Watermark-Constrained Attacks on End-to-End VLMs for Document Understanding This paper introduces a question-agnostic adversarial text-watermarking method that severely degrades document understanding in vision-language models. Ranked #6Surprising resultPreprint8/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Analyzes adversarial watermark attacks on vision-language models for document understanding. | |
| VulnBump: A Benchmark for Fixing Vulnerable Dependencies in Real Projects While Keeping the Build and Tests Green This paper introduces a benchmark testing whether coding agents can upgrade vulnerable dependencies while preserving project builds and test suites. Ranked #6New testPreprint8/10 suggested | LLMs for code via arxiv · 15 Oct, 06:18 | On-topic Evaluates coding agents fixing vulnerable dependencies across real software repositories. | |
| Imprinting: Knowledge Distillation Can Shift Student Behavior Demonstrates that knowledge distillation transfers safety dispositions and behavioral tendencies from teacher models to student models on unrelated tasks. Ranked #6Surprising resultPreprint8/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Studies how knowledge distillation transfers behavioral tendencies and capabilities from teachers to students. | |
| UltraBERT: Beyond the Limit of BERT Pre-Training This paper analyzes pretraining factors such as masking ratios and token budgets to optimize bidirectional transformer encoders. Ranked #6Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Investigates encoder pre-training specifically optimized for dense retrieval and downstream ranking tasks. | |
| Mind the Temporal Gap: Evaluating Video Models for Temporal Understanding in Driving Evaluates prompting methods and visual feature probing for temporal ego-motion reasoning in driving video-language models. Ranked #6Surprising resultPreprint7/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Evaluates video models on temporal reasoning in industrial autonomous driving scenarios. | |
| APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces The paper introduces a benchmark evaluating agent susceptibility to prompt and script injections across multi-tool shared workspace environments. Ranked #6New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Focuses directly on agent safety, prompt injection, and script execution vulnerabilities in workspaces. | |
| APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces The paper introduces a benchmark evaluating agent susceptibility to prompt and script injections across multi-tool shared workspace environments. In brief · #6New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces APEX-Harm, a benchmark evaluating prompt and script injection against frontier models. | |
| Cortex: Consolidating Context into Parametric Memory The paper presents a method to consolidate context gains into parametric model weights using prospective queries and low-rank feed-forward updates. Ranked #7New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Investigates internalizing retrieved context into parametric memory without relying on context. | |
| Federated Coreset Subsampling for Distributed Memory Banks The paper proposes federated coreset subsampling strategies to enable distributed, privacy-preserving visual anomaly detection across multiple factory sites. Ranked #7New way to see a problemPreprint6/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 06:18 | On-topic Adapts PatchCore for distributed industrial anomaly detection across multiple manufacturing sites. | |
| SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity. Ranked #7New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Evaluates and mitigates safety, integrity, and boundary violations in agent deployments. | |
| SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity. Ranked #7New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents an evaluation benchmark and taxonomy for coding agent behaviors. | |
| Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models The authors show that medical vision-language models frequently abandon correct clinical answers when prompted with fabricated medical documents. Ranked #7Surprising resultPreprint8/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Studies multimodal medical vision-language models processing medical images and documents. | |
| Lost in Implicit Routing: How LLM Agents Fail to Load Relevant Skills at Scale The paper shows that large language model agents fail to retrieve relevant skills when large numbers of irrelevant skills populate the metadata library. Ranked #7Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Investigates how LLM agents fail to route and load relevant tools/skills at scale. | |
| Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull Requests Evaluates pull requests from software agents modifying both application code and deployment infrastructure in continuous integration pipelines. Ranked #7Surprising resultPreprint8/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Analyzes AI coding agents modifying application code and CI/CD pipelines in pull requests. | |
| Tabular Foundation Models Are Effectively Shallow Analyzes tabular foundation models and shows most transformer layers can be replaced with affine translators without sacrificing performance. Ranked #7Surprising resultPreprint8/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Shows tabular foundation models can replace up to 96% of blocks, dramatically improving efficiency. | |
| MJev-Spatial: System One Spatial Intelligence via Native Attention Matching Frames spatial understanding tasks as candidate classification using pretrained attention matching to enable low-latency spatial decisions. Ranked #8New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Presents a multimodal model framework for fast spatial understanding in vision-language tasks. | |
| CORE: Contrast-and-Reflect for Self-Supervised Prompt Optimization in Anomaly Synthesis Optimizes multimodal prompts self-supervisedly to synthesize realistic industrial defect images for anomaly detection. Ranked #8New way to see a problemPreprint6/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 15:06 | On-topic Optimizes multimodal prompts to synthesize realistic industrial defects for anomaly detection. | |
| Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports This paper evaluates language-model-generated disaster situation reports against human-written reports using a domain-specific sixteen-slot information schema. Ranked #8Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Studies grounding and source matching between generated situation reports and input streams. | |
| The Agent Knew: Internal States Forecast Unauthorized Actions and Stop Them, and the Lies That Follow The paper demonstrates that internal activation states can forecast and block unauthorized actions and deceptive reports by language model agents. In brief · #8Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Investigates detecting and stopping unauthorized actions and deceptive reports in agents. |
1–60 of 17,312Next →