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 |
|---|---|---|---|
| Compositional RL: Evaluating and Training LLMs for Collaborative Reasoning The paper studies how much models contribute to multi-model teams, showing individual test scores do not correlate well with collaborative performance. Ranked #41Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Evaluates how well standalone benchmarks reflect LLM performance in collaborative systems. | |
| SpaceCast-Bench: Evaluating Predictive Spatial Reasoning in Vision-Language Models Introduces a benchmark evaluating how well vision-language models predict unseen physical outcomes following scene interventions. Ranked #41New testPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Core contribution evaluates spatial reasoning benchmarks specifically designed for vision-language models. | |
| Trajectory Prediction for Autonomous Driving in Road Construction Zones Using Human-in-the-Loop Driving Data Constructs a multimodal simulator dataset and trajectory prediction model for autonomous driving in urban roadway work zones. Ranked #41Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Focuses on perception and trajectory prediction for autonomous driving in construction zones. | |
| PRIME: Pre-Retrieval Index Modeling Enhancement for Structured Document Retrieval-Real Proposes PRIME, an index-side optimization framework using semantic restructuring and deterministic metadata synthesis to improve document retrieval. Ranked #41New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Proposes pre-retrieval index restructuring and hierarchical retrieval for external document databases. | |
| Priming Base Models for Agentic Post-Training: An Open Midtraining Recipe The paper outlines a long-context midtraining stage using software engineering data to prepare base language models for agentic tasks. Ranked #42New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Trains models on software repositories, pull requests, and commit histories to improve SWE-bench benchmarks. | |
| Truncation Samplers Are Nested: Comparing Decoding Rules Is a Measurement Problem The paper presents a theoretical framework using nesting properties to calculate distance bounds and compare language model truncation sampling algorithms efficiently. Ranked #42Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Provides formal distance certificates to compare efficient truncation decoding algorithms. | |
| Privacy Conductor: An Architectural Enforcement of Contextual Integrity in LLM-Based Document Retrieval The paper proposes a deterministic gating architecture enforcing contextual integrity access control for enterprise document retrieval in language models. Ranked #42Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Evaluates deterministic policy enforcement versus LLM reasoning for secure enterprise document retrieval. | |
| 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 #42Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Analyzes failure modes in LLM agents when handling external tool execution results. | |
| Executable Prefix Values for Locating Agent Failures The paper evaluates judge labels on agent steps by restarting failed trajectories from intermediate states to identify true failure points. Ranked #42Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Audits LLM-as-a-judge failure attribution methods and shows their diagnostic limitations. | |
| Compact and Efficient Indexes for Learned Sparse Retrieval Designs compact inverted and forward index structures using medoid summaries and SIMD-friendly bit-packing to reduce learned sparse retrieval memory footprint. Ranked #42New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:29 | On-topic Proposes compact indexes and compression techniques for learned sparse retrieval systems. | |
| SteerablePlex: Can We Steer Full-Duplex Models? Introduces an instruction-following benchmark and training recipe to improve goal adherence in full-duplex conversational models. Ranked #42New testPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Applies to multimodal full-duplex speech and conversational audio models. | |
| Onboard Marine Anomaly Detection on $Φ$sat-2: From Simulation-Based Development to In-Orbit Demonstration Describes an onboard satellite pipeline combining segmentation and self-supervised feature encoding for real-time marine anomaly detection. Ranked #42Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Deploys a vision pipeline for anomaly detection on real operational hardware under constraints. | |
| A Self-Improving Agent that Grows its Own DSL: Oracle-Free Operator Induction for Exact Question Answering The paper presents an agent that expands its domain-specific language for exact answering without external rewards or judges. Ranked #43New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Induces and synthesizes executable DSL code operators to solve tasks. | |
| Mixed Precision Scaling Laws for Quantized Pretraining The paper proposes mixed precision scaling laws to model the trade-offs of low-precision quantization during model pretraining. Ranked #43Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Develops scaling laws and optimal recipes for low-precision quantized pretraining and training efficiency. | |
| The Agent Clicks Approve: Injected Page Text Makes Browser Agents Authorize Access the Task Never Named The paper investigates confused-deputy vulnerabilities where injected web page text causes browser agents to approve unauthorized access requests. Ranked #43Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Investigates prompt injection causing autonomous browser agents to authorize unauthorized access to sensitive accounts. | |
| 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 #43New way to see a problemPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Analyzes risk assessment and safety gating for deployed autonomous AI agents. | |
| CWE-bench: Refocusing Agentic Security from Exploitation to Defense The paper presents CWE-bench, a benchmark of 120 held-out software tasks to evaluate AI agents on finding and repairing security vulnerabilities. Ranked #43New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces CWE-bench, a benchmark evaluating agentic code auditing and repair capabilities. | |
| Splat2Act: From Captured Scenes to Personalized VLA Manipulation Builds an automated real-to-sim-to-real framework using 3D Gaussian Splatting to adapt robot manipulation policies to specific rooms. Ranked #43Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Uses vision-language-action policies and digital twin scanning for robotic indoor manipulation. | |
| When History Helps and Hurts: Selective History Use across Multimodal Turns The paper introduces a 7,000-task benchmark to evaluate how multimodal models selectively use or ignore conversational context. Ranked #43New testPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Evaluates omni-modal, vision-language, and audio-language models across multimodal turns. | |
| Benchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification Compares hyperbolic and Euclidean embeddings for unsupervised patent representation to improve cross-category prior-art discovery. Ranked #43Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on prior-art retrieval systems and comparing embedding geometries for document search. | |
| FusionAudit: Pathway-Conditioned Robustness Auditing for Native Multimodal Models Develops a robustness auditing framework that evaluates multimodal models against pixel perturbations and competing rendered-text visual overlays. Ranked #44New testPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Audits pathway-conditioned vulnerabilities and adversarial robustness in native vision-language models. | |
| OPRD: On-Policy Reminder Distillation for Long-Horizon Coding Agents Uses multi-scope reminders and on-policy distillation to help coding agents maintain constraints over long software engineering interactions. Ranked #44New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Addresses long-horizon repository-level code generation and tool feedback on SWE-bench. | |
| Plant Memory: Technical Language Processing and a Verified Maintenance Ontology for Agent-Accessible Failure Knowledge from SAP PM Work Orders The paper presents a system using technical language processing to transform industrial maintenance work order records into an ontology. Ranked #44New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Extracts and verifies maintenance ontologies to provide structured knowledge for downstream queries. | |
| Lightweight Scheduling Policies for Continuously Batched LLM Serving Across GPU Architectures This paper evaluates lightweight scheduling policies for continuous batching in large language model serving across different GPU architectures. Ranked #44Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Investigates lightweight scheduling policies to improve continuous batching and serving throughput. | |
| KedgeFlow: A Programmable Control Plane for Enterprise AI Agents The paper proposes a control plane enforcing structured contracts and single-use allowances to prevent unauthorized actions by enterprise AI agents. Ranked #44New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Develops a control plane to enforce authorization and prevent rogue or duplicated actions by enterprise agents. | |
| 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 #44New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates and exposes robustness weaknesses in interactive LLM agents using persona evolution. | |
| When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing Shows that language agents often ignore identified cross-domain dependencies, causing unintended disruptive actions in network management. Ranked #44Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Evaluates ten models across providers in a controlled environment. | |
| Chronos Policy: Learning Robot Policies on Physical Time Formulates robot action diffusion policies that condition directly on physical timestamps using time-aware rotary positional embeddings. Ranked #44Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Develops robot policy learning with physical time conditioning for robotic manipulation and perception. | |
| Accelerating Cross-Model LLM Inference via Attention Map Reuse This paper presents a system that speeds up multi-model language model serving by translating and reusing attention maps across models. Ranked #45Surprising resultPeer-reviewed7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Accelerates cross-model LLM serving and reduces prefilling latency via attention reuse. | |
| Data-Free Continual Learning for World Action Model with Rectified Generative Replay This paper proposes a rectified generative replay framework enabling robotic world action models to continually learn new tasks without storing past data. Ranked #45Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Explores multimodal video generation models acting as world action models in robotics. | |
| Names Are Not Objects: Object-Bound Confinement for Compromised AI Coding Agents The paper proposes an object-bound sandboxing broker to confine compromised AI coding agents and prevent unauthorized system actions. Ranked #45New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Proposes a sandbox defense to contain compromised AI coding agents safely. | |
| 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 #45New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Studies multi-step healthcare agents executing longitudinal clinical workflows and tool interactions. | |
| 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 #45New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark evaluating whether guardrails accurately enforce authorization decisions. | |
| 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 #45New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Focuses on agentic retrieval and evidence extraction across text-rich knowledge graph files. | |
| SolBehave: Evaluating the Behavioural Correctness of LLM-Generated Smart Contracts The paper introduces a benchmark using fuzzing and transaction replays to evaluate the behavioral correctness of generated smart contracts. Ranked #45New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates and repairs LLM-generated Solidity code using behavioral testing. | |
| Tracking the Invisible: Self-Supervised Wheel Track Detection with Thermal-RGB Fusion Uses self-supervised thermal-RGB fusion to detect drivable wheel tracks on snow-covered roads for autonomous vehicles. Ranked #45Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Presents RGB-thermal fusion for autonomous drivable area perception under adverse winter conditions. | |
| 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. |
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