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 |
|---|---|---|---|
| Rethinking Activation Functions: Reducing Bias Can Improve Learning The paper examines positive activation bias in neural networks, showing that reducing this bias slows initial training but improves final model performance. Ranked #113Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates activation function design to improve training efficiency and model loss. | |
| ARMED: Adaptive Retrieval-Augmented Medication Recommendation Proposes an adaptive retrieval-augmented generation framework that dynamically expands clinical queries for medication recommendation. Ranked #113Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Presents an adaptive retrieval-augmented generation framework for clinical evidence retrieval and recommendation. | |
| Hidden Data Challenges in Clinical Machine Learning Identifies and evaluates temporal, semantic, and population preprocessing misalignments that cause data leakage and bias in clinical machine learning pipelines. Ranked #113Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:29 | On-topic Analyzes subtle data leakage and pipeline misalignments causing hidden unreliability in deployed clinical models. | |
| Measurable Semantic 3D Gaussian Splatting with Joint Region and Depth Supervision for Interactive Building Inspection Develops a semantic 3D Gaussian Splatting pipeline with depth and region supervision for interactive metric measurements during building inspections. Ranked #113New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Integrates semantic Gaussian fields with multimodal large language models for interactive visual inspection. | |
| When Faster Decisions Do Not Make Better Agents: An Empirical Study of Jev in Agent Workflows Studies how accelerated decision-making models affect overall task completion, latency, and costs across embodied and mobile agents. Ranked #113Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Conducts an extensive empirical benchmark on agent decision speed versus end-to-end task success. | |
| Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills The paper introduces a benchmark derived from real customer support dialogues to evaluate language models executing bounded, tool-using skills. Ranked #114New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:18 | On-topic Evaluates LLMs executing stateful customer support skills with tools. | |
| DisaggKD: Efficient Knowledge Distillation through Teacher-Student Disaggregation and a Fused Loss The paper proposes disaggregating teacher and student models across separate nodes with a fused loss to accelerate knowledge distillation. Ranked #114New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Proposes memory-efficient knowledge distillation by splitting teacher and student across nodes. | |
| LASER: Defeasible Certificate Search for Long-Range Protocol Dependencies The paper presents a certificate-based search method paired with a symbolic checker to resolve complex, distributed dependencies in protocol specifications. Ranked #114New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Uses symbolic certificate verification to analyze and recover executable protocol specification dependencies. | |
| GUIDE: Computationally Augmented Consensus for Trustworthy Clinical Practice Guidelines This paper introduces GUIDE, a multi-agent copilot system that assists clinicians in drafting and updating evidence-based medical practice guidelines. Ranked #114Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Performs literature retrieval, evidence synthesis, and grounding for clinical recommendations. | |
| A Distributional Framework for Behavioral Characterization and Risk Management of Large Language Models Presents a Monte Carlo simulation framework to quantify distributional response shifts and model risks across language model lifecycles. Ranked #114New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:29 | On-topic Addresses model risk management, governance, and robustness monitoring for deployed LLMs. | |
| What Do Visual-Head Discovery Scores Actually Find? Attention Source, Necessity, and Random-Control Pitfalls in Vision-Language Models Evaluates how scoring configurations and query choices impact the discovery, steerability, and necessity of visual attention heads in VLMs. Ranked #114Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates visual attention head discovery, necessity, and hallucination reduction in vision-language models. | |
| Don't Guess, Just Ask: Evaluating Interactive Requirement Clarification for Repository-Level Software Development Introduces a benchmark to evaluate how effectively LLMs clarify ambiguous user requirements in repository-level software development tasks. Ranked #114New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces ReqClarifyBench, a new benchmark assessing interactive requirement clarification in LLMs. | |
| ToolBottleneckBench: Measuring Tool-Agent Performance under Controlled Pressures and Fixed Harness Budgets Measures tool-agent performance failures under controlled harness limits such as completion caps and tool menu visibility. Ranked #115New testPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Evaluates tool-using agent performance under varying tool catalog pressures and fixed harness budgets. | |
| Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and Evolution The paper introduces an embedding model that jointly encodes vision, language, and action to retrieve relevant historical trajectories for robot learning. Ranked #115New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Develops joint vision-language-action embedding models to retrieve multimodal context for robotics. | |
| Analyzing performance of Retrieval Augmented Generation models for Question Answering Tasks The paper analyzes the performance of retrieval-augmented generation architectures on open-domain question answering tasks involving culturally grounded South Asian narratives. Ranked #115Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Analyzes factors affecting performance in retrieval-augmented generation systems. | |
| MLAfication: Efficiently Enabling High-Fidelity MLA for Modern LLMs The paper introduces an attention conversion method enabling multi-head latent attention on modern architectures with reduced memory footprints. Ranked #115New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Compresses KV cache using Multi-Head Latent Attention and quantization to boost serving throughput. | |
| Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair The paper introduces a learned search policy that predicts required repair steps to prioritize code edits before generating and testing patches. Ranked #115Surprising resultPreprint5/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Develops an efficient search policy specifically for automated LLM code repair. | |
| When Charts Deceive Web Agents: A Paired Benchmark for Misleading Visualization-Grounded Tasks Introduces a benchmark evaluating how misleading visualizations and charts affect the multi-step execution and decisions of web agents. Ranked #115New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Analyzes deployment reliability risks stemming from misleading visual information. | |
| On the estimation and validity of AI time horizons---a statistical look at the METR plot Recomputes METR task time horizons using splines and item-response theory to examine the validity of AI difficulty curves. Ranked #115New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Analyzes the statistical estimation, validity, and calibration of the METR AI time horizon benchmark. | |
| Mission (Im)Possible: Towards Autonomous Discovery of Autopilot Logic Flaws in Open-Source Drone Frameworks The authors present an approach using domain-informed language models to discover semantic logic flaws in open-source drone autopilot software. Ranked #116New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Uses multi-agent LLMs to inspect, test, and find logic flaws in autopilot code. | |
| Taking the PULSE of Medical Reasoning: Step-Level Retrieval Timing for Knowledge-Grounded Inference This paper proposes PUlSE, using internal layer representations to detect factual errors and trigger step-level retrieval during medical reasoning. Ranked #116New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Reduces factual hallucination by triggering retrieval when internal knowledge is unstable. | |
| Retrieve What Helps, Only When It Helps: Agentic Reinforcement Learning for Selective Retrieval-Augmented Machine Translation The paper proposes a reinforcement learning framework that decides when and what external knowledge to retrieve for machine translation. Ranked #116Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Optimizes retrieval-augmented generation by selectively deciding when to retrieve outside evidence. | |
| Test-Time Compute for Tabular Foundation Models: Mechanisms, Gains, and Limits Analyzes test-time compute strategies, including parameter adaptation and prediction aggregation, to improve predictions in tabular foundation models. Ranked #116Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:29 | On-topic Studies parameter-efficient adaptation and compute trade-offs for foundation models. | |
| Video Codec-Guided Training-Free Token Compression for Video Large Language Models Proposes a training-free token compression method for video language models using video codec motion vectors and residuals as priors. Ranked #116New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses efficient visual token compression for video large language models. | |
| Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety Benchmark Applies psychometric auditing to HELM Safety benchmarks to test whether harmful refusal functions as a single measurable attribute. Ranked #116Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Conducts a psychometric audit of safety benchmarks, analyzing construct validity and benchmark saturation. | |
| RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics Combines dual-encoder semantic retrieval with a contextual bandit to adaptively select agent tools using execution reliability feedback. Ranked #116New way to see a problemPeer-reviewed7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Improves tool retrieval and handling runtime tool failures for autonomous AI agents. | |
| Causal Syntax Circuits in CodeLMs: Budget and Probe Decide What Looks Localised This paper investigates internal model circuits and prompt properties that drive code language models to default to Python code output. Ranked #117Surprising resultPreprint5/10 suggested | LLMs for code via arxiv · 17 Oct, 06:18 | On-topic Analyzes internal circuit mechanisms underlying programming language preferences in code LLMs. | |
| Beyond Reachability: A Relation-Semantic Reasoning Framework for Biomedical Multi-hop QA The paper proposes a relation-semantic reasoning framework to resolve disconnects between answer reachability and valid paths in biomedical graphs. Ranked #117Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Addresses multi-hop retrieval and evidence reasoning over knowledge graphs for question answering. | |
| Full-duplex Spoken Language Modeling with Discrete Diffusion The paper presents Diffuplex, a full-duplex spoken language model that separates speech timing from content generation using discrete diffusion. Ranked #117New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Designs discrete diffusion decoding that parallelizes speech generation to achieve high token throughput and low latency. | |
| When Pleasing the User Compromises Care: AI Sycophancy in Caregiver-Mediated Healthcare The paper benchmarks how caregiver-directed language models compromise medical advice when users express clinically inferior care preferences. Ranked #117Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Investigates safety and alignment failures where LLMs compromise user care to satisfy harmful user requests. | |
| CaptchaAgent: Verifiable Visual Reasoning for CAPTCHA Solving Presents a structured visual reasoning agent that uses intermediate symbolic representations to solve complex visual CAPTCHAs. Ranked #117Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses structured visual reasoning and grounding in vision-language model agents. | |
| Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict Proposes an evaluation framework to measure how LLM agents handle uncertainty and resolve conflicting knowledge during execution. Ranked #117New way to see a problemPeer-reviewed7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces a new evaluation framework and behavioral dimensions to benchmark agent uncertainty. | |
| X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems Presents an automated red-teaming framework that searches for harmful compositional tool-use paths across multi-service environments. Ranked #117New testPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Addresses multi-service tool interactions and unintended compositional actions in personal agents. | |
| XViewRank: Overlap-Conditioned Score Fusion for LLM-Augmented Sparse Retrieval XViewRank uses result-set overlap context to fuse BM25 rankings generated from distinct query perspectives created by language models. Ranked #118Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Improves sparse retrieval ranking using LLM-generated query views for knowledge retrieval. | |
| Intent-Triggered Anchoring for Multi-Token Format Units in Parallel Decoding of Diffusion Language Models This paper introduces a training-free decoding rule that anchors multi-token format units to ensure parseable parallel generation in diffusion language models. Ranked #118Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Improves parallel decoding in diffusion language models to maintain structured output formatting efficiently. | |
| Natural Code Transformation Confuses Agents in Vulnerability Analysis The study reports that natural code transformations confuse vulnerability analysis agents, proposing functional changes as a potential defensive strategy. Ranked #118Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Examines defenses against adversarial agentic attacks on software vulnerability discovery. | |
| REINS: Agent-guided Thread Scheduling for Concurrency Bug Detection and Reproduction Uses agentic reasoning over program concurrency semantics to steer thread scheduling and reproduce elusive concurrency bugs. Ranked #118New way to see a problemPreprint4/10 suggested | LLMs for code via arxiv · 12 Oct, 16:29 | On-topic Uses an LLM agent reasoning over program semantics to detect and reproduce software concurrency bugs. | |
| Feature Competition and Its Representational Origins in Vision Language Models: Evidence from the Stroop Paradigm Benchmarks vision-language models on the Stroop paradigm to evaluate feature competition and text-versus-color bias. Ranked #118Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates feature competition and representational bias between text and color in vision-language models. | |
| An Investigation of Model Coherence: Narrow Finetunes Contradict Themselves Under Resampling Evaluates model coherence using 175 specific questions to measure internal contradictions and identity conflation under answer resampling. Ranked #118Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces a 175-question test and metric to evaluate model coherence and contradiction under resampling. | |
| Forgetting is Not Always Bad: A Neuro-Inspired Memory Repair Mechanism for Poisoned LLM Agents Introduces DREAM, an agent-intrinsic defense that triggers functional forgetting of poisoned memory entries through implicit reactivation and topological diagnosis. Ranked #118New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Designs memory repair mechanisms specifically for autonomous LLM agents. | |
| Reading the Neighborhood: Text-Attentive Graph Reranking for Automated Subject Indexing TAGHN enhances automated subject indexing by reranking candidate descriptors using a text-attentive graph over thesaurus neighborhoods. Ranked #119Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Develops a graph reranker over retrieved candidate descriptors and document context. | |
| BRQGen: Towards Adaptive Completeness Assessment and Follow-Up Question Generation for Bug Reports The paper proposes a framework that identifies missing information in bug reports and generates targeted follow-up questions only when needed. Ranked #119New way to see a problemPreprint4/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Leverages LLMs to evaluate bug reports and iteratively generate follow-up questions for reproduction. | |
| RIFT: Token Influence Follows the Path of Least Resistance This paper proposes RIFT, a method using electrical resistance analogies to trace token influence through transformer attention graphs. Ranked #119New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Proposes a fast, training-free method to compute token influence on a single CPU thread. | |
| Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs The paper demonstrates a hybrid architecture where cloud-generated agent code delegates localized private-data queries to edge models. Ranked #119New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Protects private data during deployment by delegating runtime interpretation to local edge models. | |
| CASTER: Formalizing Zero-Shot Manipulation from Synthetic Videos as Constrained Optimization Formulates zero-shot robot manipulation from synthetic video generation as a constrained trajectory optimization problem. Ranked #119New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Uses multimodal video generation models to guide real-world robot manipulation policies. | |
| Can LLMs Fix It Without Code? Toward Automated Verification of No-Code Bug Fixes Presents an execution-based evaluation pipeline using browser agents to verify language model solutions for no-code software bug reports. Ranked #119New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces an automated execution-based benchmark evaluating LLM capabilities on no-code bug fixes. | |
| Inject a Turn, Not a Token: Learning Where to Redirect LLM Reasoning for Self-Correction Introduces UPTURN, a framework that trains a small classifier to inject redirection prompts as new user turns during reasoning failures. Ranked #119Surprising resultPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Designs a mechanism to intervene and redirect reasoning rollouts during multi-step problem solving. | |
| Decoding What iOS Location Services Send to Apple: An LLM Is an Unreliable Analyst but a Useful Toolmaker The study evaluates using language models to directly reconstruct mobile network schemas versus generating validation code tools. Ranked #120Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Demonstrates LLM unreliability and subtle errors during reverse-engineering analysis. | |
| RCER: Reconstructing Cross-Evidence Relations for Iterative Retrieval-Augmented Generation RCER reconstructs cross-evidence relations and entity dependencies directly across iterative retrieval rounds to support complex multi-hop question answering. Ranked #120Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Proposes an iterative retrieval-augmented generation method reconstructing cross-evidence relations. | |
| Hashrope: A Persistent Data Structure for Mechanisms of LLM Context Management This paper presents Hashrope, a unified persistent data structure supporting incremental edits, branching, and cache reuse for language model serving. Ranked #120Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Introduces an efficient data structure for prefix reuse, KV-cache management, and faster serving. | |
| Aligning Faithfulness for Theory-Scale Autoformalization The authors propose evaluating autoformalization faithfulness by aligning phrase-level correspondences between informal mathematics and formal code under contextual interpretations. Ranked #120New testPreprint4/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates autoformalization translating natural language mathematics into formal code. | |
| OneSearch-VL: Unified Multimodal Deep Research Agent for Image and Video Introduces a unified multimodal agent using evidence graphs to supervise external retrieval and reasoning across images and videos. Ranked #120New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Proposes a multimodal research agent linking visual grounding and retrieval across images and video. | |
| When VLMs Destroy What They Know: Spatial Representations Fall Below Lexical Priors The paper evaluates vision-language models' spatial representations using causally controlled perturbations, showing spatial relations degrade compared to lexical features. Ranked #120Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces a new metric and benchmark to evaluate spatial representation fidelity in VLMs. | |
| VEPA: Verified Evolving Formal Policy for Lifelong LLM Agent Guardrails Develops a framework for evolving deterministic formal policies to serve as runtime guardrails for large language model agents. Ranked #120New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Proposes formal evolving guardrails to regulate LLM agent actions over sensitive system resources. | |
| ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews Presents a multi-agent system for paper screening and data extraction in systematic literature reviews following standard guidelines. Ranked #121Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Focuses on extracting, grounding, and citing evidence from academic literature databases. | |
| PAIR: Memory-Efficient and Fast Inference with Reading--Reasoning Fusion PAIR splits context processing and answer reasoning between two different-sized models, fusing predictions at the logit level for efficient inference. Ranked #121New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Decouples reading and reasoning across different model sizes to cut KV memory and boost throughput. | |
| Nudge the Judge: Uncovering Program Decision Hijacking in Real-World Jev Applications The paper presents an automated framework to evaluate how adversarial contexts can redirect program execution through valid structured judgments in language-model applications. Ranked #121New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Uncovers program decision hijacking attacks where malicious inputs redirect downstream software execution. | |
| Reasoning-Informed Visual Editing Introduces a multi-dimensional benchmark evaluating reasoning-informed visual editing across temporal, causal, spatial, and logical operations. Ranked #121New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Introduces a benchmark evaluating instruction reasoning and appearance consistency in multimodal models. | |
| Measuring Artifact Reliance in Machine-Generated Text Detectors The paper demonstrates that machine-generated text detectors rely heavily on document formatting and PDF extraction artifacts rather than text quality. Ranked #121Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Identifies formatting artifacts and introduces format counterfactuals for evaluating text detectors. | |
| QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code The paper introduces a benchmark framework evaluating LLM-generated quantum software unit tests against independent ground-truth checkers. Ranked #121New testPreprint3/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Examines LLMs generating unit test suites and evaluating code solutions for quantum software. |
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