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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 135
OpenHome: From Perception to Insight in Smart-Home Camera Videos
Vision language models (VLMs) have been increasingly adopted in consumer smart-home camera systems to interpret recorded videos and provide insights.Beyond Correctness: Attribution of Natural-Language Documentation for Formal Libraries
Formal languages are widely used in software engineering to specify and verify program properties.Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
The achievement of practical fusion energy remains one of the most pressing unsolved scientific challenges, with immense implications for carbon-free power.IRON-Meme: A Benchmark for Structured Understanding of Identities and Roles in Online Meme Narratives
As polarization grows on social media, understanding how political memes shape online narratives has become increasingly important.EGGPlacer: Energy-Guided Generative Chip Placement with Diffusion Models
Chip placement strongly affects routed wirelength and thermal behavior, yet these downstream metrics are difficult to evaluate during macro placement.Prospect Theory in Large Language Models: A Meta-Analysis of Loss Aversion, Diminishing Sensitivity, and Probability Weighting
Prospect theory splits risky choice into three parts: loss aversion, measured by the relative weight of losses to gains, $λ$ (e.g., $λ= 2$ implies that losses weigh twice as much as gains)…Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities
Artificial intelligence (AI) is reshaping mechanical engineering (ME), from modeling, simulation, and optimization to diagnostics, design, and technical communication.VeriEvolve: Evaluator-First Evolution for Tool-Using Agents
A central obstacle to self-improving agents is the absence of a reliable fitness signal for realistic stateful tasks.Enhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation
In recent years, automated fruit classification systems have become a more critical component in precision agriculture for efficient yield estimation, quality control, and supply chain optimization.An Evidence-Driven Multi-Agent Compound AI System for Head and Neck Proton Radiotherapy Planning
Radiation treatment planning requires balancing competing objectives to satisfy clinical criteria while accommodating physicians' preferences.GenXR-Bench: Benchmarking Coding Agents for Interactive XR Development
Coding agents are rapidly advancing from single-file generation to long-horizon repository-scale engineering, yet the evaluation of their capabilities to author interactive extended reality (XR)…Inheritance as an Admission Test for LLM Prompt Merge Operators
Large language model (LLM) agents are often improved by iterating until a fixed verifier is done.PHD-Hand: A Printable Humanoid Dexterous Hand with Linkage-Driven 3-DOA Digits
Currently, dexterous humanoid robot hands are widely considered the final hardware bottleneck that hampers generalist robots from physically assisting people at home and work.GRAIL: From Saliency to Semantics in Time-Series Explanation
Explaining a time-series model requires both locating the evidence and extracting meaningful knowledge from it.HumanCentric-Scenes-AI: A Human-Curated Multimodal Dataset of AI-Generated Human-Centric Scenes Across Surveillance, Occupational Portraits, AI-Edited Images, and Short-Form Video
We introduce HumanCentric-Scenes-AI, a human-curated dataset of 296 AI-generated stimuli that depict people across four contexts in which people encounter AI-generated media.AutoFraming: Synthesizing Dynamic Frames of C Code with LLMs
Large language models (LLMs) have shown considerable promise in synthesizing formal specifications from source code.Our Own Jev: Typed Decisions in One Forward Pass, from an In-House Judge to Open LoRA Models
A typed decision maps evidence, a question and a fixed set of options to a probability for every option, computed in one forward pass, by reading a language model's logits or a small head over its…Does Every Instance Count Equally? Order Effects in LLM Multi-Instance Processing
Users increasingly rely on large language models (LLMs) to analyse collections of independent inputs, such as product reviews or social media posts, and return a single aggregated answer.Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
Time series anomalies take diverse forms, and individual detectors encode different anomaly scoring principles that rarely cover all anomaly types.A Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting
This paper proposes Role-Enhanced Zero-Shot Chain-of-Thought (RE-ZS-CoT), a prompting framework that systematically integrates domain-specific expert roles to enhance reasoning in large language…