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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 179
Beyond Next-Screen Prediction: The Decision Value of GUI World Models
GUI world models are increasingly used to improve action selection by predicting the consequences of candidate actions, but it is unclear how much of the resulting gain comes from prediction itself…Train Locally, Learn Together: Distributed Multi-Agent Training via ADMM
Multi-agent systems (MAS) can outperform individual language-model agents by combining specialized roles, diverse reasoning processes, and collaborative decision-making.Is This Your Agent? Identity Watermarking for Agent Systems in Dynamic Environments
Agent systems deployed in dynamic environments continuously update their memories, skills, and runtime configurations, leading to evolving trajectories and challenges for persistent identity…IF-MAP: Influence-Function-Inspired Agent Prioritization in Multi-Agent Systems
Improving every agent in an LLM-based multi-agent system can be prohibitively costly, making it important to identify which agent should be prioritized to achieve the greatest system-level gain with…Bridging Exploration and Persona: Information-Directed Dueling for Test-Time Agent Personalization
Effective test-time personalization requires LLM agents to adapt to query-dependent user preferences from lightweight interaction.Trust the Edge, Doubt the Arrow: Auditing Validation Signals for Text-Mined Clinical Causal Knowledge Graphs
Clinical causal retrieval-augmented generation systems increasingly use knowledge graphs (KGs) mined from notes, yet extracted assertions remain candidates that require audit for patient-level EHR…MSCR: Jointly Balancing Utilization Across Modalities and Discovering Synergistic Information
In multimodal learning, modality imbalance often lets one modality dominate optimization and keeps the model from fully exploiting cross-modal interactions.ZeroDSS: Semantic Segmentation from Class Names Alone
Semantic segmentation depends heavily on real images with pixel-level annotations, making dense supervision a major obstacle to deployment in new domains.Long Listening Thoughts: Eliciting Open Auditory Reasoning with Deliberative Perception and Cognitive Refinement
We introduce Long Listening Thoughts (LLT), a framework for constructing post-training datasets that improves audio reasoning by pairing deliberate perceptual grounding with explicit cognitive…When Opposite Premises Translate Identically: A Source-Conditioned Diagnostic for Multilingual Commonsense Items
Multilingual reasoning comparisons depend on translated premises preserving the relations in their English sources.Do 3D Large Language Models Really Use 3D Evidence?
Recent 3D Large Language Models (3D-LLMs) have shown strong performance on scene question answering with extensive post-training.HumanSkill-4D: Training-Free Language Querying of Animatable Gaussian Avatars in Space and Time
We introduce avatar referring segmentation, which selects regions of animatable Gaussian avatars from language queries.Hippo: Training-Free Agent Self-Evolution via Hippocampal Replay
Motivated by recursive self-improvement (RSI), we study how LLM agents can learn through external memory without updating model parameters.MELD: Recursive Self-Improvement via Hierarchical Coordination for Multi-Agent Scientific Discovery
Multi-agent scientific discovery with large language models raises a coupled learning problem: research assignments determine both which experiments are pursued and the experiences from which agents…Tree Plurality Veto: Voting in Few Rounds with Efficient Communication and Low Metric Distortion
We consider the metric distortion framework for voting, where $n$ voters and $m$ candidates are embedded in an unknown metric space.Learning to Compose: Recursive Self-Improvement of Shared Executable Stacks for Zero-Shot Long-Horizon Robot Manipulation
Individually competent robot skills can fail when composed: tools may lack a required capability, completion signals may misrepresent physical progress, and one skill may leave a state that violates…SENTRY: A Streaming Edge Network Trust Engine for Real-Time Audio Deepfake Detection
Real-time voice cloning has enabled large-scale streaming deepfake and vishing attacks, while existing Network Detection and Response (NDR) solutions rely on GPU-based post-processing that requires…Which Long Documents Matter? A Controlled Study of Data Selection for Context Extension
Natural long documents are widely used for context extension, but which selection pipelines are effective remains unclear.Pluralistic Alignment in Large Language Models: Objectives, Human References, and Preference Representations
Pluralistic alignment aims to represent meaningful variation in human preferences rather than collapse heterogeneous judgments into a single target.Write Once, Check Many: Reusable Ledgers for Post-Hoc Policy Compliance Auditing of Agent Trajectories
Auditing LLM agents against policies is critical to ensure safety but requires rereading long trajectories once per policy.