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 |
|---|---|---|---|
| Intern-Decision: Efficient Multimodal Decision Making with Autoregressive Masked Language Modeling Develops small multimodal models that output structured choices using masked language modeling to reduce inference latency in agent tasks. Ranked #16New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Evaluates models making structured decisions from text and visual image inputs. | |
| BenchChecker: Assessing the Credibility of Bug-Fixing Benchmarks for LLMs This paper proposes a framework to detect training data contamination in bug-fixing benchmarks for language models. Ranked #16Surprising resultPeer-reviewed8/10 suggested | LLMs for code via arxiv · 15 Oct, 15:07 | On-topic Investigates data contamination detection in automatic program repair benchmarks for LLMs. | |
| The Silent Failures in Agentic Data Science This paper analyzes methodological failure modes in data science agents, such as data leakage and invalid evaluation, beyond simple code accuracy. Ranked #16Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Analyzes how data science agents fail during end-to-end task formulation and execution. | |
| The Silent Failures in Agentic Data Science This paper analyzes methodological failure modes in data science agents, such as data leakage and invalid evaluation, beyond simple code accuracy. Ranked #16Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces an extensible test suite evaluating methodological failures in agentic systems. | |
| Specification-Based Testing of Large Language Models The paper introduces a testing framework that turns documented model safety claims into specifications to find counterexamples via mutated prompts. Ranked #16Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Provides a testing framework to verify safety behaviors, documented safety claims, and jailbreak counterexamples. | |
| Rethinking Projector Training in Multimodal LLMs The paper examines projector training in multimodal models and proposes a training-free initialization method using summary statistics instead of paired image-caption data. Ranked #16Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Enables training-free projector initialization without gradient optimization or paired data, saving compute. | |
| StereoEngine: Scaling Stereo Bimanual Robot Data without Stereo Cameras Synthesizes stereo manipulation data from monocular robot demonstrations using estimated depth and video diffusion models. Ranked #16New way to see a problemPreprint5/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Synthesizes stereo vision data for robotic bimanual manipulation. | |
| KV-Repurpose: A Testbed for Evaluating Non-Prefix KV-Cache Reuse Develops an open-source testbed to evaluate segment-wise key-value cache reuse beyond exact prompt prefixes during language model serving. Ranked #16Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Directly evaluates non-prefix KV-cache reuse tailored for repeated documents in RAG-style workloads. | |
| Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding Proposes a training-free frame packing method enabling vision-language models to process long videos with constant memory consumption. Ranked #17Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Compresses arbitrarily long video sequences into visual tokens for vision-language models. | |
| 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. Ranked #17Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Studies attacks that manipulate web search and decision-making in tool-using agents. | |
| 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. Ranked #17Surprising resultPeer-reviewed8/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Investigates execution traces, loop engineering, and cost optimization of software engineering agents. | |
| History Replays Itself: Unleashing Long-Context Capability in Linear Attention The paper proposes a training-free episodic memory mechanism that extends linear attention language models to long-context tasks. Ranked #17New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Enables efficient long-context modeling in linear attention while dramatically reducing memory footprint. | |
| Do Factuality Methods Make LLMs More Factual? Reproducibility and Fair Comparison The authors reproduce and compare five language model factuality alignment methods on a standardized benchmark across identical base models and evaluation protocols. Ranked #17Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Provides reproducible evaluation revealing major benchmarking inconsistencies in factuality methods. | |
| 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 #17Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Examines failure modes and reliability of LLM agents when selecting skills in production. | |
| VersaCamVLA: Camera-Configurable VLA Policies for Robotic Manipulation Proposes a camera-configurable framework for vision-language-action policies that handles variable camera counts and poses without fixed setups. Ranked #17New way to see a problemPreprint5/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Presents camera-configurable robot manipulation policies relevant to industrial automation and robotics. | |
| Rehearse Everything, Remember Nothing: Attic-KV Rehearses What Will Be Read The paper shows that whole-context KV cache rehearsal harms compression under tight budgets, proposing targeted rehearsal to preserve answer-relevant entries. Ranked #17Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Optimizes KV cache retention for long-context retrieval and memory evaluation. | |
| SAFE-KV: Causal Suffix Repair for Behavior-Preserving Non-Prefix KV Cache Reuse in RAG The paper presents a repair method that re-encodes causal suffixes to enable safe non-prefix KV-cache reuse in retrieval-augmented generation. Ranked #18Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Addresses KV cache reuse specifically across reused documents in RAG pipelines. | |
| Cheap, Consistent, Calibrated, but Biased? Typed Decision Models as Judges The paper evaluates typed decision models against standard language model judges to measure how emotional tone and biases affect their evaluation accuracy. Ranked #18Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Analyzes biases, calibration, and reliability in LLM-as-a-judge decision models. | |
| Receiver Decides Agent-to-Agent Negotiations Studies agent-to-agent negotiations over money, finding that the receiving agent's characteristics primarily dictate the final transfer amounts. Ranked #18Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Analyzes multi-agent interactions and negotiation behavior in resource-exchange games. | |
| The Silent Failures in Agentic Data Science This paper analyzes methodological failure modes in data science agents, such as data leakage and invalid evaluation, beyond simple code accuracy. Ranked #18Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Examines silent methodological failures like data leakage that affect reliable deployment. | |
| 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 #18Surprising resultPreprint8/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates failure localization on SWE-bench Verified coding agent trajectories. | |
| Virtual Head Attention Virtual Head Attention uses two linear operations to compress key-value cache overhead without increasing training compute or sacrificing output quality. Ranked #18New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Designs an efficient attention mechanism reducing KV cache overhead and compute during inference. | |
| A Minimal Optical-Flow Representation for Vision-Based Tactile Rotation Classification in Robotic Manipulation Across Gravity Domains The paper proposes a compact optical-flow representation to classify tactile object rotation across Earth, Mars, Moon, and orbital gravity domains. Ranked #18Surprising resultPreprint5/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Investigates tactile vision representations for robotic manipulation and object slip/rotation detection. | |
| 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 #18New testPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Explicitly targets multimodal LLMs to enhance spatial, embodied, and temporal visual reasoning. | |
| DecisionRobust: Benchmarking Robustness for JEV Style Decision Models Across Text and Vision The paper introduces a benchmark evaluating the robustness of typed decision models against text, image, and prompt injection attacks. Ranked #19New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates decision models across both textual and visual inputs under multimodal perturbations. | |
| What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO) This paper examines how content matching, retrieval mechanics, and model knowledge affect web page citations in generative search engines. Ranked #19Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Analyzes how generative search engines retrieve, rank, and cite web documents. | |
| SpecGuardBench: Can Coding Agents Construct Reliable Validation Harnesses from Natural Language Specifications? This paper introduces a benchmark to test if coding agents can build reliable validation test harnesses from natural language specifications. Ranked #19New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates the capability of autonomous coding agents to construct validation harnesses. | |
| Receiver Decides Agent-to-Agent Negotiations Studies agent-to-agent negotiations over money, finding that the receiving agent's characteristics primarily dictate the final transfer amounts. Ranked #19Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Designs a round-robin evaluation tournament measuring agent compliance and refusal in negotiations. | |
| 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 #19New testPreprint8/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Tests LLMs on automated code vulnerability repair, patching, and repository-level software security. | |
| Diff Diffusion: Predicting Edit Paths with Diffusion Models for Efficient Code Editing Proposes Diff Diffusion, a diffusion-based model that predicts localized code edit sequences rather than regenerating entire source files. Ranked #19New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Introduces efficient parallel decoding and edit path prediction to reduce code inference latency. | |
| Do Factuality Methods Make LLMs More Factual? Reproducibility and Fair Comparison The authors reproduce and compare five language model factuality alignment methods on a standardized benchmark across identical base models and evaluation protocols. Ranked #19Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Directly analyzes whether alignment methods mitigate hallucination and improve factuality. | |
| Fast Pose Tracking of Rigid Objects with Compact Pose Graph Optimization The paper proposes a lightweight pose-graph tracking module using relative pose constraints and geometric uncertainty for real-time 6D object tracking. Ranked #19New way to see a problemPreprint5/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Proposes real-time 6D pose tracking of rigid objects for robotic manipulation. | |
| 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 #20New way to see a problemPreprint8/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Constructs validated tasks and trajectories to train LLMs for autonomous software engineering. | |
| Your Transformer Is Secretly Elastic Presents a retraining-free method to adapt transformer sizes dynamically across diverse computational budgets using joint soft pruning of components. Ranked #20Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Presents a pruning method to adapt pre-trained transformers smoothly across computational budgets. | |
| Do Personalized LLMs Need the Whole Conversation? Matching the Full History with Only 5% of Its Text via Relevance-Filtered Context This paper demonstrates that sentence-level relevance retrieval can match full conversation history accuracy in personalized language models using only five percent context. Ranked #20Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Evaluates sentence-level retrieval to ground LLM responses with relevant context. | |
| ANCHOR: Assessing Naturalistic Constraint Hierarchies and Ordering in Repository-Grounded Agentic Coding This paper introduces a repository-grounded benchmark to evaluate how well coding agents follow engineering constraints and developer workflows. Ranked #20New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates repository-grounded agent workflows and multi-step constraint following. | |
| SpecGuardBench: Can Coding Agents Construct Reliable Validation Harnesses from Natural Language Specifications? This paper introduces a benchmark to test if coding agents can build reliable validation test harnesses from natural language specifications. Ranked #20New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces SpecGuardBench, a benchmark assessing agent-constructed validation harnesses across real repositories. | |
| 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. Ranked #20Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Exposes an on-policy attack vector steering agentic decisions through fabricated web content. | |
| Rethinking Projector Training in Multimodal LLMs The paper examines projector training in multimodal models and proposes a training-free initialization method using summary statistics instead of paired image-caption data. Ranked #20Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Investigates the alignment stage between vision encoders and language models in multimodal LLMs. | |
| Beyond the Snowflakes: Disentangling Weather Effects from Confounding Meta-Factors in LiDAR Object Detection Analyzes LiDAR object detection in snow to separate atmospheric noise from performance gains caused by increased point reflections. Ranked #20Surprising resultPreprint5/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Analyzes LiDAR perception robustness and confounding factors for autonomous driving in adverse weather. | |
| 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 #21Surprising resultPreprint8/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Proposes an adversarial agentic system to generate and validate code patches for software vulnerabilities. | |
| What Really Works for Universal Multimodal Embeddings? A Controlled Study of Contrastive Training Strategies The paper conducts a controlled benchmark study evaluating common contrastive training strategies for universal multimodal embedding learning. Ranked #21Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Analyzes contrastive learning strategies for universal multimodal embeddings. | |
| Fine-Tuning Strategy, Not Just Data: A Statistically Rigorous Audit of Gender and Stereotypical Bias in Embedding Models for HR Recommendation Systems This paper audits gender and stereotypical bias in multilingual job-matching embedding models using robust statistical tests. Ranked #21Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Audits bias directly in dense retrieval and embedding models. | |
| ANCHOR: Assessing Naturalistic Constraint Hierarchies and Ordering in Repository-Grounded Agentic Coding This paper introduces a repository-grounded benchmark to evaluate how well coding agents follow engineering constraints and developer workflows. Ranked #21New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces ANCHOR, a benchmark evaluating constraint hierarchies in agentic coding trajectories. | |
| Cheap, Consistent, Calibrated, but Biased? Typed Decision Models as Judges The paper evaluates typed decision models against standard language model judges to measure how emotional tone and biases affect their evaluation accuracy. Ranked #21Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Studies fairness, bias, and reliability risks when deploying automated judge models. | |
| Dex-One2Many: Learning Dexterous Manipulation from a Single Human Demonstration Learns dexterous manipulation policies from a single human video by abstracting motions into sequential scene graphs for reinforcement learning. Ranked #21New way to see a problemPreprint4/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Addresses industrial robot perception and dexterous manipulation learning from video demonstrations. | |
| CV-OPD: Contrastive Vision On-policy Distillation Introduces Contrastive Vision On-policy Distillation to prevent vision-language models from relying on answer shortcuts rather than visual evidence. Ranked #21Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Proposes an on-policy distillation method to compress and transfer capabilities to student vision-language models. | |
| Reward Hacking as a Transmissible Strategy in Multi-Agent Coding Systems Demonstrates that reward-hacking strategies can propagate across multiple agents through shared memory and code in multi-agent coding systems. Ranked #21Surprising resultPreprint8/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Investigates reward hacking propagation across coordinated agents in multi-agent coding systems. | |
| GACC-Bench: Benchmarking Goal-Adaptive Context Compression Ability across Large Language Models Introduces a benchmark to evaluate how language models adapt context compression to specific high-level task goals. Ranked #22New testPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:18 | On-topic Proposes a benchmark measuring how LLMs compress context to preserve goal-relevant retrieval information. | |
| FDE-Gym: The Last Mile of AI Delivery The authors introduce FDE-Gym, a benchmark of 95 customer delivery tasks evaluating AI agents on ambiguous requirements and live software environments. Ranked #22New testPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Evaluates agents modifying production code and live software systems for customer engineering tasks. | |
| SyncReward: Human-Aligned Synchronization Reward for Audio-Visual Generation The paper introduces a human-annotated dataset, benchmark, and reward model to improve temporal synchronization in audio-visual generation systems. Ranked #22New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Evaluates and aligns multimodal audio-visual generation and synchronization with human judgments. | |
| 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 #22Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Reveals how distillation transfers safety, harm-avoidance, and pragmatic dispositions to student models. | |
| DuoRate: Two-Rate Per-Expert Precision Allocation for Mixture-of-Experts Serving Allocates precision across MoE experts by separately handling resident storage footprint and active batch decode traffic via dynamic optimization. Ranked #22New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:29 | On-topic Proposes a two-rate per-expert precision allocation method to reduce MoE serving footprint and decode traffic. | |
| WoodBR-Cross: A public wood-image dataset and individual-tree-disjoint benchmark for species identification Presents an image dataset and an individual-tree-disjoint evaluation benchmark for automated wood species identification. Ranked #22New testPreprint4/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Introduces a wood-image dataset and benchmark for industrial tree species identification. | |
| From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents Analyzes security incidents from frontier AI agent evaluations and proposes a framework for proactive boundary assurance. Ranked #22New way to see a problemPreprint8/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Examines security boundaries and infrastructure breaches caused by autonomous cybersecurity agents. | |
| Same Query, Different Answer: Run-to-Run Variance in Semantic Query Processing Measures output variability across repeated runs at temperature zero in semantic query engines backed by language models. Ranked #22Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Highlights run-to-run variance undermining the reliability of existing benchmarks and evaluation setups. | |
| 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 #23New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Evaluates language models on constructing execution harnesses for coding agents. | |
| Understanding ChatGPT Citations: Evidence from Production Web Search Across Model Generations The paper analyzes production ChatGPT search traces across model versions to understand how queries are rewritten, fetched, and selected for citations. Ranked #23Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Analyzes web retrieval, ranking, and citation selection processes in generative search engines like ChatGPT. | |
| 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. Ranked #23Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Mitigates unfaithful generation and hallucination in RAG deployments by penalizing hollow copying. | |
| To Align or Not To Align: Check Your COMPASS Before You Train This paper introduces a metric to estimate the compatibility of pretrained models before running costly alignment or checkpoint merging. Ranked #23New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Provides a metric to evaluate compatibility when aligning vision encoders with language models. |
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