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 |
|---|---|---|---|
| Learn from Move: the Next Step for GUI Agents This paper introduces an environment benchmark and exploration framework to help graphical user interface agents learn unfamiliar interaction dynamics. Ranked #136New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Evaluates vision-based GUI agents that interact with graphical environments via visual feedback. | |
| ClinEdge: An Expert-Graded Benchmark of Real Patient Edge Cases Where Frontier Multimodal Models Fail Introduces a medical benchmark of real de-identified patient edge cases pairing imaging with clinical vignettes to test multimodal language models. Ranked #136New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces an expert-graded benchmark of clinical edge cases combining text vignettes and imaging. | |
| Security in LLM-Assisted Coding: A Systematic Literature Review This systematic review analyzes security vulnerabilities, benchmark shortcomings, and developer oversight challenges in code generated by language models. Ranked #136Preprint0/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Reviews vulnerabilities, patches, and security risks in LLM-assisted code generation. | |
| Suggested Is Not Superseded: A Pre-Registered Evaluation of a System-One Model as a Memory-Retirement Gate The paper evaluates long-term memory gating models to test whether they distinguish established factual updates from mere suggestions. Ranked #136Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates memory retirement gating mechanisms for long-term interactive conversational assistants. | |
| Easy to anticipate, hard to compute: boundary dependence finds the computed outputs that entropy patching misses The paper demonstrates that entropy-based byte patching misses predictable calculation points and proposes a boundary-dependence signal to fix it. Ranked #136Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Optimizes patch allocation to improve computational efficiency and performance in byte transformers. | |
| Origin Attribution for Unsafe Behavior in Self-Evolving Multi-Agent Coding Systems Investigates attributing unsafe code changes to specific agents or versions in self-evolving multi-agent coding systems. Ranked #137New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:18 | On-topic Tracks the lineage and propagation of unsafe failures across self-evolving multi-agent coding systems. | |
| OpenMobile-2: Building Versatile Mobile Agents with Scalable Environments and App-Native Tools The paper presents OpenMobile-2, combining open mobile environments, trajectory datasets, and hybrid GUI-tool actions for mobile agents. Ranked #137New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Mobile agents operate over visual GUI screenshots and multimodal mobile interaction tasks. | |
| Reward-Aligned Distillation This paper presents a bilevel distillation method that weights teacher supervision tokens based on their predicted impact on student reward. Ranked #137New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Introduces a reward-aligned distillation framework to train smaller student models. | |
| Strong yet Controllable LLM Abstention without Learning to Abstain This paper proposes TAPS, combining standard accuracy training with post-hoc confidence selection to give controllable abstention rates without specialized tuning. Ranked #137Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Proposes post-hoc abstention to mitigate hallucinations and manage risk in deployments. | |
| Does Pretraining Teach Chemical Language Models Chemistry? This paper evaluates pretraining on chemical language models across 64 molecular datasets, finding that gains saturate below gradient-boosted tree baselines. Ranked #137Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Evaluates chemical language models across 64 molecular datasets to reveal pretraining limitations. | |
| AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery This paper trains language models using reinforcement learning to construct executable financial trading formulas grounded in research literature. Ranked #137Preprint0/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Trains language models to generate executable symbolic code expressions for quantitative finance. | |
| Temporal Adaptive Fine-Tuning for Code Comprehension This paper presents a fine-tuning method to update language models for code comprehension as codebases change over time. Ranked #138Preprint0/10 suggested | LLMs for code via arxiv · 15 Oct, 15:07 | On-topic Addresses fine-tuning models to maintain comprehension over evolving software repositories. | |
| EAIR: Interaction Risks in Enterprise LLM Multi-Agent Systems Introduces a risk analysis framework and test environments for enterprise-level multi-agent workflow interactions. Ranked #138New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:18 | On-topic Provides a framework to detect and repair organization-wide interaction risks across enterprise LLM multi-agent systems. | |
| OpenDGO: Benchmarking Multi-Agent Organizations Across Diverse Application Domains This paper introduces a benchmark evaluating multi-agent organizational structures across diverse domains and collaborative interaction patterns. Ranked #138New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces a benchmark evaluating multi-agent system organizations across multiple real-world domains. | |
| Carve VFM: Carving Specialists out of Generalists, Automatic Task-Specific Compression of Vision Foundation Models The paper proposes a structured pruning method to compress vision foundation models into compact task-specific models under parameter budgets. Ranked #138New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Proposes structured pruning and compression methods to make vision foundation models smaller and cheaper to run. | |
| RelLedger: Relational Information Governance for LLM Agent Organizations This paper introduces RelLedger, an auditing framework to trace how relational histories drive reporting choices and actions in multi-agent systems. Ranked #138New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Evaluates reliability, information governance, and behavioral consistency in agent deployments. | |
| Hide and Seek: HIDE Concepts to SEEK explanations for black box models Introduces a model-agnostic, concept-level attribution method for black-box vision models by masking concepts located with vision-language models. Ranked #138New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Uses vision-language models to ground concepts and interpret vision model predictions. | |
| The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery Presents an end-to-end distributed system orchestrating coding agents to execute computational research experiments alongside human scientists. Ranked #139Preprint0/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Orchestrates coding agents to write code, conduct automated experimentation, and run ablations. | |
| STRATA: Self-Maintaining Structured Experience Graphs for Self-Evolving Language Agents The paper introduces a structured experience graph memory that organizes and maintains agent workflows across hierarchical abstraction levels. Ranked #139New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Introduces a structured, self-maintaining memory graph specifically for self-evolving multi-step language agents. | |
| LLM Evaluation is a Forecasting Problem This paper frames language model evaluation as a forecasting problem, using time-series techniques on historical data to predict post-deployment performance. Ranked #139New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Reframes LLM evaluation by showing benchmarks shift across time and proposing forecasting methods. | |
| GPU Goldmines: Tunable WebGPU Kernels for Edge LLM Inference The authors present an autotuning framework for WebGPU kernels to improve cross-platform inference speeds for language models on edge devices. Ranked #139Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Optimizes WebGPU kernels for attention and matrix multiplication to accelerate edge and on-device LLM inference. | |
| More Reasoning Is Not Always Better: Executing Clinical Guidelines with LLMs and Rules MedDEx combines language models for patient data extraction with deterministic rule engines to execute clinical treatment guidelines accurately and efficiently. Ranked #139Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Improves clinical guideline adherence and reliability by replacing unconstrained LLM reasoning with rules. | |
| When MLLMs miss what humans read: diagnosing and learning to read squint text Investigates multimodal LLM failures on squint-readable low-frequency text and provides a diagnostic benchmark alongside training interventions. Ranked #139New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Focuses on diagnosing and improving vision-language multimodal models when recognizing text in images. | |
| When Does the Dependency Graph Help Code-to-Architecture Mapping? Evaluates whether dependency graphs improve automated mapping between source code files and system architectures. Ranked #140Preprint0/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Investigates graph neural models for mapping code to software architecture modules. | |
| JevCoder: When Does Decision Delegation Pay Off in Code Repair? The paper evaluates delegating code-repair decisions to low-cost probabilistic judges to reduce token costs without losing accuracy. Ranked #140Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Explores delegating decisions to low-cost judges within multi-step coding agent repair trajectories. | |
| On the Calibration of Crowdsourcing Aggregators The paper provides theoretical and empirical analyses of calibration in crowdsourced label aggregation across human and language model datasets. Ranked #140Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Studies calibration of crowdsourcing aggregators, including crowds of LLMs. | |
| FunDM: Cheap & Label-Free Decision Models from Frozen Language Models This paper presents a label-free decision head for frozen language models that preserves multiple-choice accuracy with reduced layers and memory. Ranked #140Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Enables cheaper inference and lower memory by attaching small decision heads to fewer transformer layers. | |
| Who Sets the Pace of Judge Hacking? Judge Capability versus the Policy-Judge Gap This work analyzes whether policy capability gaps or judge models dictate reward hacking when training models against language-model judges. Ranked #140Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Analyzes reward hacking and optimization vulnerabilities in LLM alignment. | |
| The Evidence Anchoring Boundary: Where Visual Interventions Matter and When They Help in Multimodal LLMs Analyzes layer-wise visual interventions in multimodal language models to identify where visual edits effectively reduce hallucinations. Ranked #140New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Analyzes internal layer representations and visual interventions in multimodal large language models. | |
| PRISM: Transfer and Limits of Activation Interventions in Tool-Calling Language Models Studies the transferability of internal activation interventions to reduce unsafe tool execution across model precisions and languages. Ranked #141Surprising resultPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Studies safety and activation interventions in tool-calling language model agents. | |
| Independent Data-Integrity Verification for LLM-Driven Functional Coverage Closure in Hardware Design The authors present an agent loop that closes functional test coverage in hardware design using independent simulation scoreboards. Ranked #141Preprint0/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Deploys an LLM to generate tests and verify hardware code. | |
| Read, Parse, Describe: Unified Document Parsing with Visual Element Description Generation The paper presents a benchmark dataset evaluating unified page-level document parsing alongside alternative text descriptions for visual elements. Ranked #141New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Introduces unified document parsing generating bounding boxes and visual descriptions with VLMs. | |
| How the Classical Baseline Shapes Machine-Learning Speed Claims in Topology Optimization This paper audits speedup claims of machine learning models in structural topology optimization against modern classical solvers. Ranked #141Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Critiques baseline comparability and benchmark evaluation practices in machine-learning speedup claims. | |
| Prorsa: Unleashing the Potential of Prefill-Decode Disaggregation in Agentic Reinforcement Learning The paper explores prefill-decode disaggregation architectures to speed up rollout generation during agentic reinforcement learning training. Ranked #141New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Optimizes serving and rollout efficiency via prefill-decode disaggregation for LLMs. | |
| MemForm: Benchmarking Memory Formation Poisoning in LLM Agents The paper introduces MemForm to benchmark adversarial memory formation poisoning across five input interfaces in language model agents. Ranked #141New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Investigates adversarial memory poisoning attacks on deployed agents. | |
| DeciCAD: Harness-Grounded Learning of Action Policies for CAD Agents Develops a domain harness and policy learning pipeline to improve language model agent execution in computer-aided design environments. Ranked #142Preprint0/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Develops code-generating CAD action policies and compares them to coding harnesses. | |
| 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 #142New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Trains builder agents to autonomously curate and structure workspaces to assist answering agents. | |
| Resample the Answer: Where to Spend Test-Time Compute in Recursive Reasoning The paper shows that resampling the decoded answer state improves recursive reasoning recovery more efficiently than perturbing latent states. Ranked #142Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Studies efficient test-time compute allocation and resampling strategies for compact recursive reasoning models. | |
| 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 #142New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Audits hallucinated tool use and unsupported claims in deployment. | |
| PVFH-Bench: Benchmarking Premise-Induced Visual Fixation Hallucinations in Vision-Language Models This paper introduces a benchmark to measure vision-language model hallucinations caused by deceptive textual premises paired with visually confusable images. Ranked #142Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces PVFH-Bench, a diagnostic benchmark measuring visual fixation hallucinations in LVLMs. | |
| OccludeBench: Can VLMs Find What's Missing? The paper presents a benchmark evaluating how effectively vision-language models recover fully occluded objects using remaining visual cues. Ranked #142New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates multimodal vision-language models and their spatial and visual scene reasoning. | |
| Evaluating and Improving Static Application Security Testing Tools for Rust Evaluates static analysis security testing tools on real-world Rust vulnerabilities and presents an improved framework for vulnerability detection. Ranked #143Preprint0/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Uses an LLM framework to generate code mutants and evaluate software static analysis tools. | |
| 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 #143New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Develops a midtraining recipe designed specifically to prepare base models for agentic post-training. | |
| VitaBench: Memory Lifecycles Beyond Retrieval This paper introduces a benchmark to evaluate agent memory lifecycle decisions, including compression, consolidation, and deletion. Ranked #143New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces VitaBench, a new benchmark evaluating long-term memory lifecycle decisions in language agents. | |
| FORGE: Procedural Weight Generation for Sparse MoE Inference The paper introduces FORGE, an on-chip datapath that regenerates sparse mixture-of-experts weights from compact seeds during inference. Ranked #143New way to see a problemPeer-reviewed6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Proposes on-the-fly weight generation to optimize memory and throughput in MoE models. | |
| Personalization Without Stereotyping: Do Speech LLMs Know When to Turn a Deaf Ear? The paper introduces a benchmark to measure demographic robustness, stereotyping, and intentional personalization in speech language models. Ranked #143New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates speech language models integrating acoustic and paralinguistic audio cues. | |
| 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 #143New way to see a problemPeer-reviewed7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Addresses runtime execution reliability and fault mitigation when agents interact with external APIs. | |
| Combining LLM and Dynamic Analysis for Universal Testing of Static Application Security Testing Tools Uses large language models and dynamic feedback to generate code variants and test static application security analysis tools. Ranked #144Preprint0/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Applies LLMs to understand, transform code, and test static application security tools. | |
| Agent Status Protocol (ASP): A Lightweight Specification for State Reporting in Multi-Agent Systems Proposes a lightweight protocol for AI agents to report runtime status and liveness to central servers and monitoring dashboards. Ranked #144New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Specifies a lightweight protocol for monitoring state in multi-agent systems. | |
| Efficient Resource-Shiftable RL Post-training with Generative Rewards The paper presents PivotRL, a system that dynamically shifts GPU resources among rollout, reward modeling, and training during post-training. Ranked #144New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Improves GPU resource efficiency during RL post-training for large language models. | |
| BrowseSafe++: Benchmarking Prompt Injection Detection Across Web Contexts, Languages, and Browser Views This paper introduces a benchmark of paired web pages to evaluate prompt injection detection across browser agents and views. Ranked #144New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces a benchmark evaluating prompt injection detection across diverse web contexts. | |
| MultiWorldBench: Do Independently Controlled Views Describe One Shared World? Introduces a Minecraft diagnostic benchmark testing whether multiplayer world models maintain consistent and persistent representations across independently controlled views. Ranked #144New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Evaluates consistency and spatial reasoning across visual viewpoints in interactive environments. | |
| 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 #144New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Directly develops an automated red-teaming framework to uncover safety risks in agent workflows. | |
| The Role of Agentic Instruction Categories for Code Generation: A Study of Five Python Libraries The paper examines how different repository instruction categories in agent files affect token efficiency and automated code generation quality. Ranked #145Preprint0/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Evaluates instruction categories for agentic repository-level code generation. | |
| Isolating a Language Model's Judgment with a Label-Free Subspace The paper proposes isolating internal model judgments from instruction formatting variations using a label-free hidden state subspace. Ranked #145New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Investigates internal model judgment versus prompt sensitivity for reliable evaluation. | |
| Auditing Escalation Reliability in Healthcare LLM Agents: A Perturbation-Controlled Benchmark of Workflow-State Failures Introduces an episode-level healthcare benchmark to audit how reliably language model agents escalate actions when facing workflow disruptions. Ranked #145New testPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Focuses on decision reliability, tool use, and escalation failures in multi-step healthcare LLM agents. | |
| Context-Aware Precision Scheduling for Small Language Models The paper proposes a context-aware mixed-precision scheduling method to balance execution latency and accuracy for small language models. Ranked #145New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Presents a context-aware mixed-precision scheduling method to improve efficiency for small language models. | |
| DistressBench: Evaluating Multi-Dimensional Crisis Support in Large Language Models Introduces an evaluation benchmark measuring how effectively language models provide supportive responses during self-harm and crisis disclosures. Ranked #145New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Directly addresses real-world deployment safety risks regarding suicide and self-harm disclosures. | |
| Vision Transformers Learn Word Meaning from Images Alone Tests whether self-supervised vision transformers represent semantic meanings of rendered words without paired text data. Ranked #145Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Explores multimodal semantics and how vision transformers learn textual meaning from pixels. | |
| Agentic Dependency Transformations: Lessons from an Exploratory Case Study of Flask This case study explores strategies for using automated coding agents to transform external software dependencies into local reimplementations. Ranked #146Preprint0/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Investigates AI coding agents altering and transforming third-party dependencies in repositories. |
961–1,020 of 3,333← PreviousNext →