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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 35
BLPO: Beyond-Local Policy Optimization for Long-Horizon LLM Agents
Long-horizon tasks require large language model (LLM) agents to coordinate interdependent actions, a capability central to automating complex workflows.Q-CamTuning: A Multimodal Large Language Model for Fine-Grained Quality Reasoning in Livestreaming Camera Tuning
With the popularization of livestreaming applications, automatic camera tuning has become indispensable for ordinary users to enjoy high Quality of Experience (QoE).Comparative study of global pooling for pre-departure ship fuel consumption prediction: Advantages over per-ship and adaptation-based approaches
Most fuel oil consumption (FOC) models for voyage planning are per-ship models and thus generalize poorly beyond each vessel's records.VideoEditor-MoE: Scaling Complex Video Editing with Mixture of Experts
Complex video editing requires understanding complex instructions while jointly fulfilling multiple editing requests.Unlocking Criminal Court Decisions: Flexible Information Extraction for Empirical Legal Research
Criminal verdicts contain descriptions of criminal behavior that can support quantitative legal research, but structuring them requires attributes and extraction rules that cannot always be fully…PRIME: Predictive Routing of Interventions by Modeling Effects for Scientific Ideation
Feedback-driven iteration is widely used to improve LLM-generated scientific ideas, but existing systems either leave revision decisions implicit in generation, align revisions with…Networked AI: Architecture, Theory, and Applications
Recent advances in Artificial Intelligence (AI), particularly large-scale deep learning, have been driven by monolithic or offline training on massive curated datasets.Towards a Trustworthy and Governable Internet of Agentics: An Architectural Perspective on Protocols, Systems, and Services
Large language model applications are increasingly being organized as tool-using and multi-agent workflows rather than as isolated chat interfaces.PACERec: Progressive Adaptation of LLM Item Embeddings with Collaborative Evidence for Recommendation
Large language model (LLM) embeddings have been increasingly adopted in sequential recommendation to encode static item attributes and alleviate the limitations of item ID embeddings under sparse…MIRA: Reinforcing Multimodal Reasoning via Deceptive Contextual Augmentation
While Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced multimodal reasoning, existing frameworks suffer from a critical "perception-reasoning gap.Avatar Intelligence: Amplifying Human Agency Through Persistent Personal Agents
Personal AI agents are increasingly capable of handling long-horizon tasks across applications, yet users often need to invest substantial effort in specifying goals, resolving ambiguity, and…An Experimental Study of Hybrid Retrieval, NLI and Open-source LLMs for Scientific Claim Verification
Claim verification is the task of deciding whether a source text supports a claim, contradicts it, or lacks sufficient evidence.A Fine-Grained Hierarchy and Benchmark for State Tracking in Language Models
Theoretical limitations of transformers on state tracking---the ability to track information about entities or variables over long contexts---have motivated new recurrent language modeling (LM)…LUCA: A Synthetic World for Experimental Reasoning
An experimental agent can succeed for the wrong reasons.Multimodal Prompt Learning with Dual-Granularity Contrastive Alignment for Preoperative Prediction of Lung Adenocarcinoma Invasiveness Using 3D CT
Accurate preoperative prediction of lung adenocarcinoma invasiveness is important for surgical planning and individualized treatment.From Local Skills to Long-Horizon Web Tasks: Progressive Skill Exploration for LLM Web Agents
Large language models (LLMs) are driving autonomous agents toward real-world environments, with the Web emerging as one of the most representative interaction scenarios.ComplianceAtlas: A Taxonomy-Driven Agentic AI Framework for Automated AI Act Gap Analysis and Remediation
Assessing regulatory compliance for high-risk AI systems requires systematic identification of technical gaps such as missing controls, in- adequate processes, or shallow evaluation of practices.CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements
Despite recent advances in CUAs, their development remains constrained by the limited diversity, controllability, and reliability of interaction data.Visual-to-Executable Procedural Reconstruction of Buildings
Procedural modeling offers compact, editable, and reusable representations for architectural content, but building such models still depends heavily on manually authored grammars.Toward Knowledge-Centric AI: Discovering, Internalizing, and Using Explicit Knowledge Across Agents and Generations
Knowledge is how understanding accumulates across people and generations: durable records that outlive their producers and that others can check, combine, teach, and correct.