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 |
|---|---|---|---|
| When Dynamic Scaling Fails: A Scale-State Feedback Governs Recurrent-State Quantization in Linear-Attention and SSM LLMs This paper investigates error compounding and scale-state feedback mechanisms during recurrent-state quantization in linear-attention and state-space language models. Ranked #46Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Analyzes recurrent-state quantization in linear-attention and SSM LLMs to cut decode cost. | |
| Seg2Click: Learning Pixel-Level Action Masks for GUI Visual Grounding Reformulates graphical interface visual grounding as executable-region mask prediction to pinpoint click actions reliably. Ranked #46New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates multimodal grounding of text instructions to visual regions in UI screenshots. | |
| ProGAN-Based Synthetic Image Generation for Industrial Visual Inspection of Metallic Parts Applies progressive growing generative adversarial networks to generate synthetic images for industrial defect detection on metallic parts. Ranked #46Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 06:18 | On-topic Generates synthetic defect images for automated visual inspection of metallic parts. | |
| Standing, Not Truth: Who May Say What About Whom in Agentic Selection This paper investigates how unverified claims by competitors manipulate agent decisions and proposes checking authority rather than truth. Ranked #46New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Addresses factual manipulation attacks on agentic selection and proposes standing-based guardrails. | |
| TL;QR: Querying Temporal Discursive Patterns in Textual Corpora TL;QR pairs language-model passage judgments with a symbolic temporal logic engine to track evolving patterns in textual corpora. Ranked #46New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Combines LLM predicate evaluation with symbolic engines to query corpora. | |
| 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 #46New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates protocol risk and exploitability across long-horizon multi-agent systems. | |
| AuthGateBench: Benchmarking LLMs as Authorization Gate Introduces a policy-guided benchmark evaluating language models acting as authorization gates for tool-using coding agents. Ranked #46New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces AuthGateBench to systematically benchmark authorization gating in language models. | |
| Instructions Are Evidence, Not Objectives: Measuring Outcome Alignment of Agents This paper introduces an approach and benchmark for evaluating whether language model agents can infer unstated true requirements instead of following incomplete instructions. Ranked #46New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates agents on discovering unstated software engineering requirements using code repository context. | |
| Language Is a Security Surface for Agent Guards The paper evaluates 19 safety guards across multiple non-English languages to measure how translation alters step-level safety decisions for agents. Ranked #47Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Audits agent safety guard vulnerability and consistency against multilingual user inputs. | |
| Progress-Aware Distillation for Mitigating Stagnation in Small Language Model Agents The paper introduces a progress-aware distillation method to prevent small language model agents from stalling in repetitive loops during long tasks. Ranked #47New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Proposes a distillation framework to make small language models capable and efficient as agents. | |
| Geometric Parrots: Rule Absence vs. Rule Fragility in Spatial and Physical Reasoning for Vision-Language Models Introduces a procedural benchmark and dual-loop evaluation to test whether vision-language models maintain physical and spatial reasoning rules under pressure. Ranked #47New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Benchmarks spatial, physical, and visual reasoning robustness in vision-language models. | |
| SciCurateBench: Curating Experimental Data from Heterogeneous Scientific Literature with Verbal-Action Agents The paper presents SciCurateBench to evaluate language models on verifying complex experimental conditions from unprocessed scientific literature. Ranked #47New testPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Evaluates structured information retrieval and re-ranking across documents. | |
| 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 #47Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Investigates vulnerabilities emerging in self-evolving vision-language agents that adapt their memory. | |
| 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 #47New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Empirically reveals benchmark oracle defects and configuration-dependent measurement shifts in agent evaluation. | |
| SpecCloak: Probing Harmful Code Generation through Engineering Specifications Finds that framing malicious coding prompts as engineering specifications systematically reduces language model refusal rates across multiple models. Ranked #47Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Investigates how engineering specifications bypass safety refusals in LLM code generation. | |
| Real-Time Industrial Metallic Surface Defect Detection Using Attention Mechanisms and Multi-Scale Feature Fusion The paper enhances YOLOv7 using attention mechanisms and multi-scale feature fusion for real-time metallic surface defect detection. Ranked #47Peer-reviewed0/10 suggested | Computer vision for industrial applications via ieee · 12 Oct, 16:29 | On-topic Presents an attention-based YOLO model for real-time metallic surface defect detection in manufacturing. | |
| Learning When to Think: Utility-Guided Adaptive Reasoning for Efficient Text Retrieval Proposes an adaptive reasoning framework that supervises intermediate retrieval states and stops reasoning steps dynamically to cut latency. Ranked #48Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Reduces retrieval latency and token compute via utility-guided adaptive reasoning. | |
| Mean Accuracy Is the Wrong Estimand for a Release Decision The paper shows mean benchmark accuracy misses tail risks in fine-tuned models, proposing recipe certification cards for deployment decisions. Ranked #48New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Develops finite-sample certification to prevent catastrophic model failure rates in deployment. | |
| Language2Drive: Do Vision-Language-Action Models Really Follow the Instructions in Autonomous Driving? The paper introduces a counterfactual benchmark to evaluate whether vision-language-action driving models truly follow natural language instructions. Ranked #48Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Evaluates instruction following in multimodal vision-language-action models. | |
| FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests The paper introduces a benchmark based on enterprise projects to evaluate agent performance on clarifying underspecified requirements and iterative optimization. Ranked #48New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates agents on interactive clarification and multi-step iterative optimization tasks. | |
| The Anatomy of a Blind Spot: What an LLM Judge Must Be Shown, and How Much The paper tests what context judge models require, showing that omitting source constraints degrades the quality of iterative feedback loops. Ranked #48Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Investigates input dependencies and failure modes when using LLMs as evaluators. | |
| Interaction-as-a-Judge Presents Interaction-as-a-Judge, using computer-use agents to evaluate interactive web and desktop software applications through direct dynamic interaction. Ranked #48New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates interactive applications and coding agent outputs such as websites and games. | |
| Semi-Patchcore: A Novel Two-Staged Method for Semi-Supervised Anomaly Detection and Localization The paper proposes a semi-supervised industrial defect detection method using memory banks of defect-free data to derive pseudo-labels. Ranked #48Peer-reviewed0/10 suggested | Computer vision for industrial applications via ieee · 12 Oct, 16:29 | On-topic Proposes a semi-supervised method for industrial product surface defect detection on benchmarks like MVTecAD. | |
| 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 #48New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Examines the architecture and structural role of retrieval-augmented generation and agentic RAG forms. | |
| SWE-Stream: Scaling Executable Training Data for SWE Agents via Progressive Construction and Elastic Streaming The paper introduces a framework that progressively constructs and streams executable training tasks from code repositories for software engineering agents. Ranked #49New way to see a problemPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Scales executable training trajectories for software engineering LLM agents. | |
| Clinical value claims in multimodal AI outpace supporting evidence The paper audits multimodal clinical machine learning studies, finding that incomplete unimodal baselines frequently inflate claimed gains. Ranked #49Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Highlights evaluation flaws and ungrounded utility claims that compromise real-world deployment reliability. | |
| Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents This paper introduces a framework combining persistent belief states with implicit world modeling to help long-horizon language agents recover from failures. Ranked #49New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Distills a large world model agent into an efficient 9B student model reducing inference cost. | |
| Bidirectional Adaptive Transformers for Multimodal Anomaly Detection Proposes a bidirectional adaptive transformer framework to align RGB and 3D point cloud features for multimodal anomaly detection. Ranked #49Peer-reviewed0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 06:18 | On-topic Proposes a multimodal 2D-3D transformer framework directly addressing industrial anomaly detection. | |
| Pixels or Code? Benchmarking Instruction-Guided Visual Artifact Operation The paper introduces a benchmark to evaluate direct edits, dependency updates, and visual preservation on technical diagrams, charts, and documents. Ranked #49New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Introduces a benchmark evaluating multimodal systems on instruction-guided editing of visual documents and diagrams. | |
| 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 #49Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents ReplayBench, a benchmark for evaluating tool-result misbinding in agents. | |
| SWEPatchTest: Evaluating Software Tests Beyond Reproduction SWEPatchTest provides a benchmark to evaluate whether agent-generated test suites correctly accept valid patches and reject invalid ones. Ranked #49New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Benchmarks test generation and patch validation for coding agents and program repair. | |
| Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion The paper proposes a training-free query expansion method that filters hallucinated terms using corpus-conditioned cross-context reproducibility. Ranked #49New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Addresses hallucinated terms in LLM query expansion to improve document retrieval pipelines. | |
| 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 #50Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Focuses on autonomous agents using multi-step reasoning and tool use for software vulnerability repair. | |
| Do Modifications Made by Coding Agents Make Subsequent Software Maintenance Harder? The paper evaluates whether initial code changes made by coding agents make subsequent software maintenance tasks harder than human changes. Ranked #50Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:19 | On-topic Examines maintenance reliability and regression failures in deployed coding agents. | |
| ATTUNE: Agentic Throughput Tuning for LLM Training The paper presents an automated coding agent that tunes large model training configurations for throughput under user-defined compute budgets. Ranked #50New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Optimizes GPU resource utilization and throughput efficiency for large language model training. | |
| A Plausible Future Is Not a Causal Future: Can Video Models Generate How the World Unfolds? The paper presents a simulator-grounded benchmark to evaluate whether image-to-video generation models capture causal physical cascades and counterfactual dynamics faithfully. Ranked #50New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Evaluates causal physical dynamics and scene evolution in multimodal video generation models. | |
| 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 #50New way to see a problemPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents evaluation bounds and offline log replay methods for assessing agent performance shifts. | |
| EvoWeb: A Benchmark for Coding Agents on Evolving Web Applications Introduces a benchmark evaluating coding agents on evolving web applications across cumulative feature requests. Ranked #50New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Proposes a benchmark specifically assessing coding agents maintaining web applications. | |
| Autonomous 3D Visual-Thermal Inspection for Utility-Scale Solar Farms This paper presents an autonomous system combining LiDAR SLAM, visual imagery, and thermal sensing to inspect under-panel components of solar farms. Ranked #50Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 06:17 | On-topic Develops a 3D visual-thermal inspection system for defect detection and component monitoring in solar farms. | |
| Test-Time Memory Construction Presents a framework that defers memory construction to test time to answer queries across long interaction histories. Ranked #50New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on adaptive retrieval and construction of stored interaction evidence for QA. | |
| Attention-Based Spatio-Temporal Approach for Fire and Smoke Detection Combines spatial and temporal transformer modules to detect smoke and fire from camera video feeds. Ranked #51Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 15:06 | On-topic Proposes a spatiotemporal computer vision approach for smoke and fire detection to increase workplace and industrial safety. | |
| When Protection Overrides Consequences: Understanding Protection Mode in Large Language Model Decision-Making The paper introduces a benchmark to study why frontier models prioritize protecting subjects over preventing larger physical property damage. Ranked #51Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Investigates safety-related decision failures where protective instincts override actual physical consequences. | |
| 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 #51Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Analyzes containment failure and privilege escalation in autonomous AI agents. | |
| RSAJEV: Training-Free Abstaining Prototype Memory for Eliminating Silent Hallucination in JEV-Based Remote Sensing Classification This paper introduces a training-free prototype memory readout to prevent out-of-vocabulary overconfidence and silent hallucinations in remote sensing classification. Ranked #51Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates multimodal large language models for scene classification and hallucination reduction. | |
| Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning The paper introduces Sequent-Prover, training language model agents to perform multi-turn formal reasoning using an external SMT solver scratchpad. Ranked #51New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Focuses on generating, inspecting, and repairing executable formal SMT-LIB code. | |
| 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 #51New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a method to benchmark and evaluate interactive LLM agent robustness under realistic user personas. | |
| Does self-distillation improve reasoning? The paper evaluates whether self-distillation using privileged information improves reasoning capabilities or reflects overfitting to training tasks. Ranked #51Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Studies self-distillation mechanisms across smaller models like Qwen 1.7B-14B. | |
| Beyond the Final Embedding: Retrieving Memories from Token-Level Evidence Introduces a retrieval method combining token-level matching and document-level embeddings for memory-augmented language models. Ranked #51New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Introduces token-level matching to improve evidence retrieval from stored documents and memories. | |
| Evaluation Awareness Beyond English: Do LLMs Act Differently When Tested in Indic Languages? The authors evaluate how language models alter their refusal behavior when informed they are being monitored in English and five Indic languages. Ranked #52Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Examines how evaluation awareness leads to misleading safety refusal rates in multilingual deployments. | |
| Cross-Scenario Industrial Defect Detection via Domain-Robust Training and Metric-Aligned Selection The paper presents a domain-generalization method to detect industrial board defects reliably across varied production environments and lighting conditions. Ranked #52Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 15:06 | On-topic Proposes a robust method for automated defect detection on industrial circuit boards across varying scenarios. | |
| LintEval: Benchmarking LLMs on Linter-Guided File Refactoring The paper presents a multilingual benchmark to evaluate how language models resolve linter alerts while preserving program functionality. Ranked #52New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Introduces a benchmark evaluating LLMs on linter-guided code refactoring and repair. | |
| What Coding Agents Leave Unsaid: Measuring Task-State Gaps Between Execution and Reports The paper measures the information gap between coding agents' internal execution logs and their user-facing progress reports. Ranked #52Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Measures task-state reporting gaps in autonomous software coding agents. | |
| Scenes as an Attack Surface: Uncovering Scene-Grounded Safety Failures in MLLMs The paper introduces a benchmark to show that visual scene semantics alone can cause multimodal models to bypass safety guardrails without adversarial prompts. Ranked #52Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates scene-grounded visual safety failures and attack surfaces specifically in multimodal large language models. | |
| 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 #52Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark to evaluate training data and contamination detection methods. | |
| Correcting or Continuing? What On-Policy Distillation Learns from Student Errors The study shows that training on-policy distillation exclusively on student errors degrades accuracy rather than improving it. Ranked #52Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates on-policy knowledge distillation behavior when training student language models. | |
| GeopoliticalQA: Benchmarking Retrieval and Generation over Intelligence Reports Introduces a benchmark of 5,525 QA pairs from intelligence reports to evaluate RAG document- and chunk-level retrieval. Ranked #52New testPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Introduces a benchmark evaluating document retrieval, chunking, and grounded generation over intelligence reports. | |
| Poisoning the Neighborhood: A Topology-Aware Topic-Level Attack on Large-Scale HNSW-based RAG Systems Demonstrates a graph-topology-aware poisoning attack against large-scale retrieval systems using approximate nearest-neighbor indexing. Ranked #53Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Examines topology-aware poisoning attacks on large-scale retrieval-augmented generation systems. | |
| CodeHealth Predicts the Token Cost of Agentic Code Review: A Pre-Registered Study of 465 Agent-Authored Pull Requests Examines whether source code quality metrics predict the token costs of multi-agent pull request review pipelines. Ranked #53Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Measures token consumption and cost dynamics of LLMs reviewing software pull requests. | |
| A Strong Harness Narrows the Model Gap: A Comparative Evaluation for Legislative Document-to-XML Conversion The paper evaluates harnesses for legislative document conversion, showing structured multi-agent pipelines narrow performance gaps between models. Ranked #53Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Compares single-agent versus decomposed multi-agent orchestration harnesses. | |
| PVFH-Bench: Benchmarking Premise-Induced Visual Fixation Hallucinations in Vision-Language Models This paper introduces a benchmark to measure vision-language model hallucinations caused by deceptive textual premises paired with visually confusable images. Ranked #53Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Examines premise-induced object hallucination in large vision-language models. |
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