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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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Attribute-Centric Vision-Language Alignment for Fine-Grained Gait Understanding
Presents a dataset and vision-language alignment framework for fine-grained human gait attribute recognition from walking sequences.
Ranked #515Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Proposes vision-language alignment matching multi-frame video evidence with textual class prototypes.
AMemOps: Evaluating Memory Updates in Long Audio Streams
The authors introduce a benchmark to evaluate how audio models update, retain, or reject recurring acoustic sources in long streams.
Ranked #515New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces AMemOps, a new benchmark evaluating memory update operations in audio models.
Masked Diffusion Language Agents for Tool-Integrated Chemical Reasoning
Introduces ChemDiffAgent, applying masked diffusion to plan tool use and reasoning trajectories bidirectionally for chemical problem-solving.
Ranked #515New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 12 Oct, 16:28
On-topic
Develops a masked diffusion language agent integrating external tools for multi-step reasoning.
What do AI chatbots do after users decline therapeutic redirection for suicide thoughts?
Audits how persistent conversational agents remain with therapeutic crisis referrals after users repeatedly refuse help for suicidal thoughts.
Ranked #516Surprising resultPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Directly assesses deployed chatbot safety, refusal handling, and risk mitigation for suicidal ideation.
Reliability-Aware Multimodal Sentiment Prediction Under Local Modality Missingness
This paper introduces RM-Net, a reliability-aware network designed to maintain multimodal sentiment prediction accuracy when spans of modalities are missing.
Ranked #516Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Multimodal sentiment prediction robustly fusing text, audio, and video inputs.
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 #516New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces FaithAlign, a benchmark to evaluate the faithfulness of autoformalization.
Traceable World State: A Provenance-Aware State Representation and Deterministic Replay Framework for Robotic Systems
Introduces an immutable, provenance-aware state representation framework with deterministic replay and audit logging for robotic systems.
Ranked #516New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 12 Oct, 16:28
On-topic
Presents a provenance-aware state representation enabling robotic agent planning, execution tracking, and replay.
AgentEval: Evidence-Bounded Assessment of Stateful Agents
Presents an evaluation system that tracks state and evidence to ensure autonomous agents fulfill obligations across long-horizon executions.
Ranked #517New testPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Focuses on auditing agent execution to ensure obligations and safety contracts hold.
AdaFrame: Hierarchical Multimodal Deduplication with Adaptive Information Budgeting for Cost-Efficient Video Advertisement Analysis
The paper proposes a content-adaptive frame deduplication pipeline to lower inference costs for multimodal video advertisement analysis.
Ranked #517Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:07
On-topic
Proposes adaptive multimodal deduplication to optimize vision-language model inference on video.
FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval
Introduces FASHION-RQ, an automated framework deriving hierarchical evaluation benchmarks for fashion retrieval directly from catalog structures.
Ranked #517New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Constructs an automated benchmark and evaluation suite for fine-grained retrieval systems.
Prior or Feedback? What an LLM Uses When Adapting Neural Operators
Investigates whether LLM scientific agents rely on task priors or experimental feedback when configuring neural operator adaptations.
Ranked #517Surprising resultPreprint4/10 suggested
AI agents
via arxiv · 12 Oct, 16:28
On-topic
Investigates whether an LLM scientific agent adapts decisions sequentially based on experimental feedback.
A Multi-Tiered AI Accessibility Model (MAIAM): Proportionate Access and Capability Limits for Comprehensive Frontier AI Safety
The paper proposes a multi-tiered governance model regulating AI system access based on user purpose and model capability.
Ranked #518New way to see a problemPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Analyzes post-release safety levers, weight-release risks, and tiered access controls.
DreamHMR: From Video Generation to Human Motion Modeling via Structural Focusing
The paper presents a framework adapting video generation priors to improve 3D human body and hand motion reconstruction from video.
Ranked #518Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Uses video generation foundation models for 3D body and hand motion modeling.
PhysCodeGym: Benchmarking Coding Agents for Physically Verifiable 4D Reconstruction
The paper introduces a benchmark to evaluate coding agents building executable physical simulations from video observations using Blender.
Ranked #518New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces a benchmark evaluating coding agents on physically verifiable 4D reconstruction.
Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction
Presents ME-World, an egocentric world model generating synchronized multi-agent first-person video streams with fine-grained physical interactions.
Ranked #518New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 12 Oct, 16:28
On-topic
Models multi-agent interactions and synchronized ego-stream generation in shared environments.
CAT-alyzing Honesty: Continuous Adversarial Training for Transferable LLM Honesty
Presents an adversarial training approach designed to improve language model honesty across diverse benchmarks without degrading core capabilities.
Ranked #519New way to see a problemPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Presents adversarial training to improve LLM honesty and prevent deceitful outputs.
Designing Textual Interfaces To Enhance Llm Reasoning On Audio-Visual Question Answering
The paper compares three textual interface designs for optimizing prompts in multimodal audio-visual question answering systems.
Ranked #519Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Designs textual interfaces for audio-visual multimodal LLM reasoning.
SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning
Introduces a dynamic spatial audio reasoning benchmark and an architecture tracking acoustic sources across moving indoor scenes.
Ranked #519New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces Sonic-Bench for spatial audio reasoning evaluation.
From Prompting to Composing: A Spatial Canvas Interface for Poster Generation
Introduces Compo and a spatial canvas interface enabling users or agents to guide poster layout and image generation.
Ranked #519New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 12 Oct, 16:28
On-topic
Includes an agentic mode translating high-level user requests into structured spatial canvas plans.
ARIA: Runtime Inspection and Amendment for Multi-Agent Systems
The paper presents a framework and dataset for learning to detect and repair errors during multi-agent system execution.
Ranked #520New way to see a problemPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Improves runtime reliability and error mitigation for multi-agent systems in deployment.
PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition
Proposes an interactive agent framework that utilizes physics simulation and spatial exploration for complex 3D object assembly and composition.
Ranked #520Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Deals with 3D physical grounding and multimodal vision-language models.
Interactive Navigation Beyond Reachability: Benchmark and Agentic Framework
Introduces a benchmark and agent framework for embodied navigation tasks requiring physical environment interactions like opening doors.
Ranked #520New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces MultINav-Bench, a new benchmark and evaluation protocol for interactive embodied navigation.
How Is Automated Research Evaluated? A Survey of Benchmarks and Evaluation Practices
Surveys benchmarks, metrics, and experimental practices used to evaluate automated research systems across ideation, coding, writing, and peer review.
Ranked #520New testPreprint4/10 suggested
AI agents
via arxiv · 12 Oct, 16:28
On-topic
Surveys evaluation practices for automated research agents performing multi-step autonomous workflows.
Open Benchmark of AI Impact on Humans (ImpactBench): an expert-guided, open platform for the holistic evaluation of AI impact on humans
The paper introduces an expert-guided benchmark to measure the impact of generative language models on user wellbeing.
Ranked #521New testPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Assesses whether deployed models avoid psychological, physical, and social harms in user conversations.
ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps
Presents a graph-based framework with decision certificates to determine when multimodal agents should acquire visual evidence under cost constraints.
Ranked #521Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Focuses on active visual evidence acquisition in multimodal contexts.
PsyMemBehav: Psychology-Informed and Memory-Grounded Two-Level Identity-to-Action Reasoning for Social-Media Behavior Simulation
The paper develops a dataset and framework to simulate realistic user social media actions using psychological profiles and retrieved interaction histories.
Ranked #521New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces PsyMemBehav-bench to benchmark and evaluate LLM behavioral simulation accuracy.
A 3D Characterization Framework for Intelligent Sequential Decision Making
Proposes a three-dimensional framework evaluating decision-making artificial intelligence methods across sequential formalisms, autonomy levels, and computational cost.
Ranked #521New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 12 Oct, 16:28
On-topic
Analyzes sequential decision-making frameworks, including double-agent and LLM-based search approaches.
INCONVENIENT: A Benchmark to Assess LLM Generalization Capabilities from Convenience Samples
Introduces a benchmark to test model generalization under systematic convenience sampling biases in tabular data.
Ranked #522New testPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Evaluates model reliability and robustness against systematic real-world data shifts.
MMLA-RSI: Recursive Self-Improvement through RTT and RTMA
This paper proposes MMLA-RSI, a recursive self-improvement framework using reasoning-time policy training and authoritative memory adaptation.
Ranked #522New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 15 Oct, 15:06
On-topic
Presents an architecture for recursive self-improvement and memory adaptation in autonomous agents.
Multimodal Medical Image Parsing with Task-Specific Low-Rank Adapters
The paper describes a vision-language model using task-specific low-rank adapters for multimodal medical image parsing.
Ranked #522Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Applies multimodal vision-language architectures to parse and analyze diverse medical image modalities.
AI Discovery in Combinatorics: From Problems to Solutions and Back to Bigger Problems
Introduces a benchmark of 29 open algebraic combinatorics problems to evaluate algorithm discovery by frontier AI models.
Ranked #522New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces qtBench, a benchmark of 29 open problems testing AI systems on combinatorics.
QuasiLeak-Bench: Evaluating LLM-Based Privacy Detectors on Policy-Conditioned Quasi-Evidence Group Recovery
The paper introduces QuasiLeak-Bench to evaluate whether privacy detectors can identify distributed quasi-identifiers governed by disclosure policies.
Ranked #523New testPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Evaluates privacy leak detection and policy enforcement for safe real-world LLM deployments.
MemeTrace: A Multimodal LLM-Based Agent for Safety-Aware Meme Provenance Analysis
The paper presents a multimodal agent designed to trace the origin, spread, and potential safety risks of online memes.
Ranked #523Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Combines visual perturbations, image symbolism, and text for multimodal meme understanding.
Persistent LLM Orchestration of Heterogeneous Robot Teams via Partial Delegation to Multi-Agent Protocols
Orchestrates persistent multi-robot missions with language models by offloading ongoing tasks to classical protocols.
Ranked #523New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 15 Oct, 06:18
On-topic
Uses LLM orchestration combined with multi-agent protocols to coordinate heterogeneous teams during continuous missions.
Large language model-generated patterns for epidemiological modeling: a multi-benchmark evaluation framework
The paper evaluates whether language models can generate accurate behavioral association patterns for epidemiological modeling using external survey and agent-based benchmarks.
Ranked #523New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Proposes a multi-benchmark evaluation framework measuring the fidelity of LLM-generated behavioral distributions.
Unmasking the Secret Code: Using Canaries to Show How Masked Context Controls Memorization in SFT
Investigates how canary placement and training context affect secret memorization and extraction in fine-tuned language and multimodal models.
Ranked #524Surprising resultPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Studies canary memorization and data leakage risks during fine-tuning of language models.
Towards a Data-Centric Understanding of Spatial Reasoning in Multimodal Large Language Models
Surveys dataset design, construction methods, and evaluation protocols for improving spatial reasoning in multimodal language models.
Ranked #524Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Provides a comprehensive survey on datasets and training methods for spatial reasoning in multimodal models.
PAWA: Panoramic Action-conditioned World Modeling for Multiple Agents
The paper introduces a dataset and framework pairing synchronized point-of-view and panoramic video to evaluate multiplayer action-conditioned world models.
Ranked #524New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 15 Oct, 15:06
On-topic
Studies multi-agent action-conditioned world modeling and interaction dynamics in a shared environment.
North or South? Diagnosing LLMs' Understanding of North Korean Language, Society, and Knowledge
The paper presents LENS, a benchmark evaluating language models on North Korean linguistic nuances, sociocultural perspectives, and domain knowledge.
Ranked #524New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces a benchmark evaluating LLM understanding of North Korean language, society, and domain knowledge.
From One Query to Many: A Critical Survey of Privacy Accounting in RAG
Surveys privacy accounting frameworks and differential privacy guarantees across single-query and multi-query retrieval-augmented generation systems.
Ranked #525New way to see a problemPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:17
On-topic
Examines privacy risks and differential privacy accounting in deployed retrieval-augmented generation systems.
X-RIC: An Agentic RAN-Intelligent Controller Benchmark for Enhancing Reinforcement Learning
The paper introduces an agentic reasoning controller framework and an evaluation benchmark for optimizing open radio access networks.
Ranked #525New testPreprint4/10 suggested
AI agents
via arxiv · 17 Oct, 06:17
On-topic
Integrates reasoning agents with reinforcement learning for telecom network controller optimization.
FACES: Fine-grained Gated Semantic Alignment for Multimodal Emotional Support Conversation
The paper introduces a gated semantic alignment framework with multi-source rewards to improve multimodal emotional support conversations.
Ranked #525Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Addresses multimodal emotional support conversation combining dialogue and multimodal inputs.
Knowledge transfer between simple discrete worlds
This paper examines how recurrent models generalize and transfer rule-based reasoning across discrete puzzle environments.
Ranked #525New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Provides a systematic evaluation framework testing rule generalization regimes in discrete environments.
Learning Changes the World and Then What Was Learned has Changed: Training and Deploying Neural Networks in the Control Loop
This paper categorizes failure modes when deploying neural networks in closed-loop control systems and proposes online adaptation policies to counter distribution shifts.
Ranked #526New way to see a problemPeer-reviewed6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:18
On-topic
Analyzes distribution shift and failure modes when deploying neural networks in feedback systems.
Instruction Mining From Images: Constructing a Synthetic Dataset for Multimodal Learning ILSP DCVLR Competition Submission
Generates a filtered synthetic dataset of image-based instruction-response pairs for training multimodal reasoning models.
Ranked #526Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Presents a pipeline for synthesizing image-based instruction-response pairs to train and evaluate multimodal models.
Can You Trust Your Preference Models? Stackelberg Games for Alignment
This paper models preference model alignment as a Stackelberg game to identify comparisons where evaluators are prone to error.
Ranked #526New way to see a problemPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Examines preference model error and evaluator reliability using game-theoretic auditing.
Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault Diagnosis
This paper introduces a framework combining language model agents with deterministic software controls for reliable sensor-based industrial fault diagnosis.
Ranked #526New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Employs LLM agents that plan tool usage to iteratively diagnose industrial sensor signals.
Stateful Testing for Deep Learning Compilers
This paper introduces a stateful testing method to detect bugs in deep learning compilers caused by retained state across invocations.
Ranked #527New way to see a problemPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:18
On-topic
Provides a testing framework to detect stateful correctness bugs in deep learning deployment compilers.
Can Learning to Answer Spatial Questions Improve Novel-View Generation?
This paper introduces Ask4NV, combining multimodal 3D language understanding with camera geometry to guide novel-view image generation.
Ranked #527Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Combines 3D spatial language understanding with view generation using a multimodal transformer.
ASIWorld: Benchmarking Autonomous Agents in a Persistent Survival Sandbox
This paper introduces a persistent survival sandbox benchmark to evaluate sustained goal execution and program synthesis in autonomous agents.
Ranked #527New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Presents a novel benchmark evaluating sustained agent goal execution in persistent environments.
Degrees of Freedom in Multi-Agent Coordination: Between Centralized and Decentralized Regimes
This paper introduces a framework that quantifies delegation flexibility to analyze the spectrum between centralized and decentralized multi-agent coordination.
Ranked #527New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Explores coordination regimes, delegation granularity, and organization structures in multi-agent systems.
Market Incentives for AI Safety Investment
The paper applies game theory to analyze market incentives for AI safety investments across upstream foundation model providers and downstream firms.
Ranked #528Surprising resultPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:18
On-topic
Models market incentives and regulatory effects on corporate AI safety investments.
Representation Conditioning for Generation
This paper proposes representation conditioning to feed vision encoder features into later layers of diffusion transformers for improved generation semantics.
Ranked #528Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Explores aligning vision encoder semantic representations within diffusion model training.
Rarity Determines Minimax Rates of Semantic Entropy From Weak Pairwise Judgments With a Known Channel
This paper establishes minimax rates for estimating language model semantic entropy using verdicts from weak pairwise equivalence judges.
Ranked #528Surprising resultPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:18
On-topic
Analyzes minimax estimation rates of semantic entropy for evaluating language model answer distributions.
Box-WAM: Box Trajectories as Compact State Representations for World Action Models
The paper proposes predicting 3D bounding box trajectories instead of dense video frames as compact representations for world action models.
Ranked #528New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Improves planning and state prediction for robot manipulation action models.
Resisting Harmful Instructions through Training-Free Weight Editing
The paper introduces a training-free weight-editing method to reduce large language model compliance with harmful instructions such as lying and sexism.
Ranked #529New way to see a problemPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:18
On-topic
Introduces training-free weight editing to prevent LLMs from following harmful or dishonest instructions.
Learning Visual Speech Representations via Cross-Modal Distillation and Joint Face-Lip Modeling
The paper introduces FLARE, a visual speech framework combining cross-modal distillation from audio features with dual-stream face and lip modeling.
Ranked #529Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Develops a cross-modal distillation framework connecting acoustic representations with visual facial dynamics.
Definition Grounding in Theory-Level Auto-formalization
The paper proposes definition grounding to continuously evaluate and revise formal mathematical definitions generated by language model agents.
Ranked #529New testPreprint4/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 15:06
On-topic
Introduces ReuseBench, a benchmark assessing the quality and compatibility of formal mathematical definitions.
MADDIE: Multi-Agent Drug Discovery Engine
The paper introduces a multi-agent framework comprising an orchestrator and four specialized agents to automate iterative drug discovery workflows.
Ranked #529New way to see a problemPreprint4/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Presents a multi-agent LLM framework with orchestrator and worker agents for drug discovery.
CausalEvo: Causal Skill Self-Evolution for Health LLM Agents
The paper introduces a causal evaluation method for healthcare language model agents to iteratively select and retain useful task skills.
Ranked #530New way to see a problemPreprint6/10 suggested
AI safety and reliability in deployment
via arxiv · 17 Oct, 06:18
On-topic
Studies preventing error propagation and improving agent decision reliability via causal skill retention.
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