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 |
|---|---|---|---|
| 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. | |
| CopRoute: Dependence-Aware Conformal Routing for Language Models Proposes a conformal routing method that accounts for model failure dependencies to optimize multi-model query coverage under risk budgets. Ranked #23New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:29 | On-topic Designs a risk-controlled routing policy to optimize inference calls and model selection efficiency. | |
| Fly-by-Code: Embodied Coding Agents for Aerial Manipulation with Active Visual and Physical Feedback Presents an embodied coding agent framework using active physical and visual probing to refine aerial manipulation policies. Ranked #23New way to see a problemPreprint4/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Focuses on robotic aerial manipulation using visual feedback in physical environments. | |
| One Word Opens the Gate: The Option-Channel Attack on Typed Decision Models as Agent Guardrails Evaluates typed decision models used as agent guardrails, uncovering vulnerabilities and asymmetric error rates in allow-or-block actions. Ranked #23Surprising resultPreprint8/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Directly assesses typed decision models serving as guardrails in multi-step agent tool-calling systems. | |
| SWE-DeceptionBench: Benchmarking Deceptive Behaviors of LLMs Across the Software Development Lifecycle Introduces SWE-DeceptionBench, a benchmark measuring active and passive deceptive model behaviors across software development lifecycle tasks. Ranked #23New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces SWE-DeceptionBench, a new benchmark evaluating deception and trustworthiness across software lifecycle stages. | |
| 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 #24Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Optimizes reasoning-conditioned embeddings and retrieval efficiency for search. | |
| 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 #24Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Studies agent vulnerability to financial extraction and persuasion in autonomous deployments. | |
| Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference The authors develop an error-compensated 4-bit all-reduce algorithm to reduce communication overhead during distributed model training and inference. Ranked #24New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Introduces 4-bit error-compensated communication to make distributed LLM inference faster. | |
| DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training Introduces a robot world model using image-rendered actions and counterfactual post-training to improve action-following and contact prediction. Ranked #24New way to see a problemPreprint4/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Builds cross-embodiment robot world models for action-conditioned manipulation perception. | |
| Auditing VLM Benchmarks from Existing Evaluation Runs Audits vision-language model benchmarks by analyzing saved evaluation artifacts and removing image inputs to detect ungrounded questions. Ranked #24New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Directly audits vision-language model benchmarks to identify multimodal image-text dependency failures. | |
| Safe Actions Alone Do Not Ensure Safe Agents: Identifying Unfulfilled Obligations with Guard Models Introduces a benchmark evaluating guard models on identifying unfulfilled safety obligations in language model agent trajectories alongside forbidden actions. Ranked #24New testPreprint8/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Analyzes safety mechanisms and guard models specifically for LLM-based autonomous agents. | |
| All Verdicts are Not Equal: Rethinking LLM Judge Reliability Audits the reliability of LLM judges across multiple prompt formats, temperatures, and orderings, introducing a trustworthy verdict metric. Ranked #24Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Conducts a comprehensive reliability audit of LLM-as-a-judge across order bias, variance, and rubrics. | |
| ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction Agents Introduces ProgramGym, a framework providing verifiable sandbox environments and black-box test feedback for training long-horizon program reproduction agents. Ranked #24New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Directly targets software engineering agents building programs from scratch across multiple programming languages. | |
| Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries The paper trains language model agents to reorganize unstructured document collections into structured workspaces to speed up future multi-document queries. Ranked #25New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Proposes proactive restructuring of unstructured corpora into navigable workspaces for knowledge retrieval. | |
| Smartphone-Based, Field-Deployed AI Inspection System for Power Distribution Infrastructure Presents a field-deployed smartphone inspection system combining deep learning and geometry to assess power distribution infrastructure conditions. Ranked #25New way to see a problemPreprint4/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 06:18 | On-topic Deploys computer vision to inspect physical infrastructure and detect field defects. | |
| Lumen-bench: Cross-Lingual Safety Gaps and the Say-Do Problem in Tool-Calling Large Language Models The paper introduces a multilingual benchmark evaluating safety and discrepancies between verbal refusals and tool actions in tool-calling language models. Ranked #25New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:18 | On-topic Studies ethical violations and refusal behavior when LLMs execute actions using external tools. | |
| 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 #25New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Highlights reliability gaps in test verification for deployed coding agents. | |
| Unconstrained CTI-REALM with Open-Weights This paper evaluates open-weight language models against closed frontier models on a cybersecurity detection benchmark using an interactive telemetry environment. Ranked #25Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Compares performance and inference costs of running open-weight versus closed frontier models. | |
| A Decade in a Day: Synthesizing Agent-Native Interfaces from Human-Oriented Software Evolution The paper introduces a benchmark measuring how software interface versions affect the task performance of desktop language model agents. Ranked #25New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Analyzes software interfaces and synthesis to support automated agents interacting with software. | |
| ConClick: Element-Wise Contrastive Learning Improves GUI Grounding Proposes a contrastive learning framework to help GUI agents distinguish target interface elements from plausible distractor elements. Ranked #25New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Enhances vision-language models for multimodal graphical user interface grounding. | |
| Structure Tax: How Structured Output affects LLMs Performance Evaluates how schema ordering impacts LLM performance under structured output constraints, showing reasoning-first designs prevent accuracy drops. Ranked #25Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Evaluates model performance across schemas, benchmarking the accuracy and calibration impacts of structured output formats. | |
| SWE-at-Scale: Scalable Issue Synthesis from Historical Bug Fixes The authors propose a method to generate realistic software engineering benchmarks at scale by inverting historical bug fixes into issues. Ranked #26New testPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Presents a framework to synthesize software engineering bug-fixing tasks for coding agents. | |
| 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 #26New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Measures whether coding agents reliably adhere to operational and safety constraints in repositories. | |
| Scaling Inference-Time Compute with Teams of Coding Agents The paper studies compute allocation across multi-agent coding teams to identify Pareto-optimal trade-offs between cost and performance. Ranked #26Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Optimizes inference compute efficiency and cost reduction across heterogeneous agent teams. | |
| Trace Evolution Bench: Measuring Whether Agents Improve from Their Own Environment Traces This paper introduces a benchmark to measure whether autonomous coding agents truly improve their policies from interaction traces. Ranked #26Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Examines self-evolving autonomous agents learning from execution traces in task environments. |
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