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Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.

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PROBE: Learning to Audit Policy Compliance in Tool-Using LLM Agents
The paper trains language model auditors to detect multi-turn policy violations during tool use by autonomous agents.
Ranked #290New testPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Focuses on red-teaming and verifying policy safety constraints in deployed agent interactions.
Vision-Predictor-Action: Towards Efficient Embodied AI via Neuro-Symbolic JEPA Predictors
The paper proposes a robot control framework using predictive architectures and flow matching to generate action chunks without autoregressive decoding.
Ranked #290New way to see a problemPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:18
On-topic
Proposes a lightweight non-autoregressive architecture under 20M parameters for fast, efficient embodied AI control.
D2: High-Capability Full-Duplex Spoken Language Models from Half-Duplex Backbones
Converts half-duplex speech models into streaming full-duplex conversational models capable of simultaneous listening and speaking.
Ranked #290New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Develops full-duplex spoken language models processing speech and text.
Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve
This paper proposes a system where language model agents write code to create and refine tools directly over raw knowledge-graph files.
Ranked #290New way to see a problemPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Develops an agent harness where agents write Python tools to navigate knowledge graphs.
Mind the Spatial Gap: A Benchmark for Geospatial Reasoning and Constrained Spatial Editing
Presents a benchmark using real urban data to evaluate multimodal language models on spatial reasoning and constrained editing.
Ranked #290New testPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces GeoSpatialBench, a comprehensive benchmark evaluating multimodal spatial reasoning.
Prism-1: Position- and Rival-Independent Scoring for System One Models
The paper evaluates single-pass decision models against rational choice axioms and identifies ordering and rival-option sensitivity failures.
Ranked #291Surprising resultPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Investigates decision-making reliability, manipulation vulnerabilities, and consistency for deployed systems.
Error Correction in Trained TTT Layers
This paper analyzes prediction-derived error updates and test-time gradient objectives in trained test-time-training layers.
Ranked #291Surprising resultPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:18
On-topic
Analyzes fast-weight test-time training layers designed for efficient sequence processing.
From Agents to Edges: Paired Optimization for Multi-Agent Collaboration
The paper introduces an optimization method that jointly refines communication instructions between communicating agents to improve multi-agent collaboration.
Ranked #291New way to see a problemPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Optimizes communication edges and instruction alignment across multi-agent collaborative workflows.
REEL: Learning to Retrieve, Evaluate, and Evolve Visual Memory for Any Long-Horizon Multi-Shot Video Generation
Introduces a general visual memory planner that retrieves, creates, and updates visual evidence across shots for long-horizon video generation.
Ranked #291New testPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Focuses on visual memory planning and multi-shot video generation across multimodal inputs.
DRYLAB-Bench: Benchmarking the Biosecurity Risk of Agentic LLM Mutation Design
Introduces a benchmark evaluating the risks of LLM agents designing dangerous biological mutations when augmented with biodesign tools.
Ranked #291New testPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces a comprehensive benchmark to evaluate biosecurity risks in agentic biodesign settings.
FAOPs: Normal Forms and an Algebra for AI Agent Workflows
The paper provides a formal algebraic framework and normal forms to structure and audit enterprise AI agent workflows.
Ranked #292New way to see a problemPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Enforces least-privilege tool scoping, auditability, and safety boundaries for enterprise agent deployments.
On the Depth Transfer of Neural Optimizers via L-Smoothness
The paper analyzes depth transfer of hyperparameters in neural networks using an L-smoothness theoretical framework.
Ranked #292New way to see a problemPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:18
On-topic
Provides theoretical methods for scaling neural network depth and hyperparameter transfer efficiently.
The Last Mile of Coding Agents for Long-Document Tasks: An Empirical Study on Clinical Trial Protocol Digitization
Introduces a benchmark evaluating how reliably software coding agents extract and digitize complex unstructured clinical trial protocol documents.
Ranked #292New testPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Studies coding agents executing multi-step workflows, tool calls, and document structuring.
Across Viewpoints and Time: Trajectory-Generalizable Physical Attacks on World Models and Video Understanding Models
The paper develops an attack framework to generate physical adversarial textures that deceive video models across varying trajectories and viewpoints.
Ranked #292New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Studies cross-viewpoint adversarial robustness for dynamic video understanding and world models.
CoBe: A Benchmark For Conversational Counterfactual Text Editing
Presents a conversational benchmark testing whether models can edit text under counterfactual changes while preserving unaffected factual details.
Ranked #292New testPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces CoBe, a novel benchmark evaluating zero-shot counterfactual text editing capabilities.
Momentum, Commentary Tone, and Earnings Surprise in LLM Financial Forecasts
The paper tests how language models weigh price momentum, commentary tone, and earnings surprises when forecasting financial outcomes.
Ranked #293Surprising resultPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Assesses model reliability and misleading non-informational biases in high-stakes financial forecasting settings.
Outcome-Routed Distillation and Reinforcement Learning for Diffusion Language Models
The paper presents an outcome-routed distillation and reinforcement learning method tailored for training mixture-of-experts diffusion language models.
Ranked #293New way to see a problemPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 15:06
On-topic
Introduces outcome-routed distillation and reinforcement learning to improve diffusion language model efficiency.
Flow-Support-Weighted Proposals for Test-Time Verified VLA Policies
Introduces a training-time sampling method to prevent action proposal collapse in vision-language-action models tested with verifiers.
Ranked #293New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Investigates action proposal scaling and flow decoders in vision-language-action models.
ToolHACE: A Dataset for Detecting Hallucinations in Tool-Based LLM Responses
This paper introduces a benchmark dataset to evaluate hallucination detection in language model responses after external tool execution.
Ranked #293New testPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Studies hallucination in tool-augmented LLM responses during multi-step tool use.
Predicting Alignment Generalization with Value Representations
Evaluates whether internal model representations can predict how fine-tuning on one value generalizes across other held-out values.
Ranked #293New way to see a problemPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Establishes a new evaluation task and benchmark for predicting model generalization across alignment targets.
Retrieved but Not Read: Understanding Why Search-Augmented LLMs Fail to Use Available Evidence
The paper analyzes why search-augmented language models produce outdated answers even when relevant evidence is retrieved.
Ranked #294Surprising resultPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Examines unfaithful citations and failure to ground claims in evidence.
Speculative Sampling in Interactive Video Generation
This paper proposes Speculative Sampling to combine large bidirectional sampling windows with low-latency interaction in interactive video generation.
Ranked #294Surprising resultPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Addresses sampling and latency for interactive text/conditioned video generation.
One Block Ahead: Promoting Sampler State in Diffusion Language Models
The paper proposes a decoding algorithm that denoises consecutive blocks concurrently by promoting sampler states in diffusion language models.
Ranked #294Surprising resultPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 15:06
On-topic
Improves diffusion language model serving efficiency and throughput via concurrent block decoding.
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 #294New testPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Introduces a benchmark and training method for multi-step GUI exploration agents.
ReSI: Recursive Safety Improvement toward Resistant and Resilient AI
Presents ReSI, a recursive safety framework using cyclical evaluation and updates to improve AI resilience against emergent threats.
Ranked #294New way to see a problemPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Develops an automated red-teaming and safety evaluation framework to benchmark model updates.
Human Interventions as Labels: Localizing, Steering, and (Sometimes) Editing the Computations Behind LLM Agent Failures
The paper uses human interventions to localize and steer computations behind agent failure to decide between acting and clarifying.
Ranked #295New way to see a problemPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Improves agent reliability and oversight by diagnosing internal failure causes.
Rethinking Routing Exploration in Modern Mixture-of-Experts
The authors propose MirrorMoE to reconcile an exploration dilemma between fine-grained expert segmentation and shared experts in mixture-of-experts models.
Ranked #295New way to see a problemPreprint4/10 suggested
Small and efficient models
via arxiv · 17 Oct, 06:17
On-topic
Investigates expert routing efficiency and architecture design in Mixture-of-Experts models.
What Matters for World Modeling in Vision-Language-Action Models?
Evaluates four world-model integration paradigms to identify what improves vision-language-action policies in robotic tasks.
Ranked #295New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Systematically analyzes world model integrations within Vision-Language-Action multimodal architectures.
CivWorldBench: Evaluating Language World Models in Structured Multi-Agent Sandbox Worlds
This paper introduces a multi-agent sandbox benchmark to evaluate language models on state inference, forecasting, and intervention prediction.
Ranked #295New testPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:18
On-topic
Evaluates language models acting in multi-agent strategy game sandboxes and making decisions.
InterviewPlayground: A Validated Simulation Environment for Evaluating AI Interviewers
Presents a simulated participant environment to evaluate multi-turn AI interviewers across market research and social science scenarios.
Ranked #295New testPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces a simulated environment and report card benchmark specifically to evaluate AI interviewer performance.
DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents
The authors present a benchmark to evaluate conversational agents that follow correct factuality but violate procedural task steps.
Ranked #296New testPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Evaluates conversational procedural hallucination, off-track dialogue detection, and real-time guardrails.
SaTPO: Text-to-Image Safety Alignment via Transition Preference Optimization
The paper proposes a step-wise alignment method to suppress harmful content in text-to-image models while maintaining generation semantics.
Ranked #296New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Studies safety alignment and preference optimization in multimodal text-to-image diffusion models.
WUSPruner: Second-Moment-Optimal Transforms for Structured Pruning
This paper presents a transform-based framework for structured pruning in language models that optimizes basis selection using activation and weight statistics.
Ranked #296New way to see a problemPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:18
On-topic
Presents a structured pruning framework to make LLMs more efficient to run.
RIVO: Lightweight Adaptive Rerouting for Deep Research Agents
RIVO is a lightweight plug-in framework that adaptively reroutes research agent trajectories to prevent premature stopping or wasted steps.
Ranked #296New way to see a problemPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:18
On-topic
Focuses on adaptive trajectory rerouting for multi-step research agents.
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 #296New testPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces OccludeBench, a curated benchmark evaluating visual reasoning on occluded objects.
Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AI
Investigates how user trust influences delegation and verification choices during human interaction with multimodal video question-answering systems.
Ranked #297New way to see a problemPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Analyzes human oversight and operational trust policies for reliable AI deployment.
StateCraft: Augmenting Video World Models with Abstract-State Reasoning
This paper pairs language models with video diffusion to maintain persistent abstract states across dynamic video world interactions.
Ranked #297New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Combines language models with video diffusion to model dynamic visual environments.
Re-executing Coding-Agent Evaluations: Unchanged Decisions and Unresolved Policy Risk
The paper re-evaluates coding-agent benchmark results to measure sensitivity to test execution environments and grading configurations.
Ranked #297Surprising resultPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:18
On-topic
Audits evaluation reproducibility of autonomous coding agents.
A Few More Tokens Ahead: Reinforcing Parallelism in Diffusion LLMs
RePara trains diffusion language models using group-relative reinforcement learning on short token blocks to improve math generation speed and accuracy.
Ranked #297New way to see a problemPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:17
On-topic
Improves parallel generation and reduces inference and training costs in diffusion LLMs.
Not All Correct Fixes Run Alike: An Empirical Study of Patch Performance in Repository-Level Issue Resolution
The paper analyzes the runtime performance differences of test-passing issue resolution patches generated by language models on SWE-bench.
Ranked #297New way to see a problemPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Investigates repurposing FAIL_TO_PASS tests as a benchmark evaluation metric for patch performance.
In the Guise of Correction: How Framing and Cultural Adaptation Erode LLM Safety on Real-World Criminal Cases
Presents a benchmark based on real criminal cases showing how correction framings and cultural adaptations bypass safety guardrails.
Ranked #298Surprising resultPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Measures LLM jailbreak vulnerabilities and unsafe compliance risks in criminal scenarios.
VideoHarness-SRSI: Structured Recursive Self-Improvement for Video Understanding Harness
The paper examines failure modes in recursively self-improving execution harnesses for agentic video understanding models.
Ranked #298New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Improves vision-language model harnesses for multimodal video understanding tasks.
SciCurateBench: Curating Experimental Data from Heterogeneous Scientific Literature with Verbal-Action Agents
The paper presents SciCurateBench to evaluate language models on verifying complex experimental conditions from unprocessed scientific literature.
Ranked #298New testPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:18
On-topic
Evaluates and develops multi-agent verbal-action systems for scientific curation.
TabGift: A Context-Efficient Foundation Model for Tabular Data Generation
The paper proposes a context-efficient foundation model for generating realistic tabular data from limited context observations.
Ranked #298New way to see a problemPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:17
On-topic
Focuses on context-efficient tabular generation from few observations and compact latent representations.
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 #298New testPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces BASIS-Bench, a benchmark measuring demographic robustness, stereotypical bias, and personalization.
Poison Valleys: Diagnosing Path-Dependent Failure in LLM Code Repair
Analyzes how misconceptions in early planning stages cause cascading failures during automated code repair by language model agents.
Ranked #299New way to see a problemPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Analyzes internal failure propagation and reliability in automated code generation.
Frame Evidence:A Benchmark for Reference Frames and Visual Evidence in Multi-Image Spatial Reasoning
The paper introduces a spatial reasoning benchmark to evaluate how models handle varying reference frames and altered visual evidence.
Ranked #299New testPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Evaluates multi-image visual-language spatial reasoning and grounding.
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 #299New testPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:18
On-topic
Develops mobile agents that plan, interleave GUI actions, and call app-native tools.
Before Attention Sinks Form: Hidden-State Geometry Reveals and Modulates Their Formation
The paper analyzes pre-sink hidden-state geometry to detect and modulate attention sink formation in language models.
Ranked #299Surprising resultPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:17
On-topic
Analyzes attention sink formation mechanisms that impact long-context streaming inference efficiency.
What Output-Only Review Cannot Verify: Study Contracts for Research Agents
Proposes study contracts to register execution obligations and verify research agent outputs against approved protocol parameters.
Ranked #299New way to see a problemPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Focuses on diagnostic verification and defect-checking methodology for automated research outputs.
FlashAttention with Statistics: Low-Overhead Attention Features for Compact Hallucination Detectors
Extracts attention statistics directly during fast attention computation to build lightweight hallucination detectors for language models.
Ranked #300Surprising resultPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Addresses hallucination detection and safety guardrails for deployed LLMs with low overhead.
AdaRSI: On-Demand Recursive Self-Improvement for Embodied Agents
This paper introduces AdaRSI, an on-demand recursive self-improvement framework for embodied agents that isolates and fine-tunes only persistent sub-step failures.
Ranked #300New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Improves vision-language-action models for multimodal perception and robotic action execution.
From Spectral to Frobenius: When Muon Loses Its Spectral Implicit Bias
The paper analyzes the mathematical implicit bias of practical Muon optimization compared to gradient descent on linearly separable classification problems.
Ranked #300Surprising resultPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 15:06
On-topic
Analyzes the behavior and implementation mechanics of the efficient Muon optimizer.
Evidence-First Agentic Verification
Introduces Sauron, an evidence-first agentic verifier that checks both environment state and execution traces against original sources to validate task rubrics.
Ranked #300New way to see a problemPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Develops Sauron, an evidence-first agentic verifier to inspect agent execution traces.
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 #300New testPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces a diagnostic benchmark to test consistency across views in world models.
Probe-and-Resume: When and How to Evaluate Agent Execution
Evaluates test-time search in computer-use agents, finding critics perform better when invoked only at predicted final states.
Ranked #301New way to see a problemPreprint7/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Investigates critic inspection and state probing to reliably assess agent execution and prevent failures.
BluePixel: Toward Native 4K Agentic Image Editing
Combines an adapted editing model with an agent harness to perform instruction-driven four-kilopixel image editing.
Ranked #301New way to see a problemPreprint5/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Develops an agentic instruction-driven native 4K image editing vision-language system.
How Inner Optimizers Shape Replica Scaling
Studies how the choice of local optimizers affects model performance degradation when scaling distributed training replicas under fixed budgets.
Ranked #301New way to see a problemPreprint4/10 suggested
Small and efficient models
via arxiv · 15 Oct, 15:06
On-topic
Investigates local optimizer designs to scale distributed training efficiently across constrained compute clusters.
Keep Your Receipts: Trustworthy Cleanup of Agent-Built Knowledge Graphs
Presents PolyGraph, a method storing provenance receipts during knowledge graph construction to enable precise updates when source documents are retracted.
Ranked #301New way to see a problemPreprint6/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Presents a framework for maintaining and cleaning knowledge graphs built by agents.
GeopoliticalQA: Benchmarking Retrieval and Generation over Intelligence Reports
Introduces a benchmark of 5,525 QA pairs from intelligence reports to evaluate RAG document- and chunk-level retrieval.
Ranked #301New testPreprint6/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces GeopoliticalQA to systematically benchmark retrieval systems and LLM answer generation.
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