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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 77
Convex-SKM-Net: Low-Latency Block Halfspace Corrections for Neural Convex Constraint Satisfaction
Fast inference and strict constraint satisfaction are essential for learning-based decision-making.From Natural Language to Real Schematics: An Automated Workflow for Power Electronics Schematic Synthesis
Designing power electronics converters traditionally requires intensive human expertise across topology sizing, commercial component selection, circuit simulation verification, and schematic drafting.Is it my preference? Role Grounding Attack against Agent's Memory via Social Interaction
LLM-based agents now share experiences on social platforms and remember new preferences to enhance their performance.GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal Devices
Weight-only, lossy quantization substantially reduces the storage and memory requirements for serving large language models (LLMs), but the growing key-value (KV) cache remains a bottleneck for…Skeleton Coding: Program Structure as a Specification for Agents
Coding agents are typically provided end-to-end behavioral specifications that the code they produce should satisfy, such as tests and input--output examples.Disparity Laundering: Consensus Without Fairness in Clinical Multi-Agent Systems
Clinical large language models are increasingly fielded as multi-agent teams, on the assumption that deliberation averages out individual error.Rubricon: Automated Rubric Generation and Refinement for LLM Evaluation and Training
Rubrics enable reward assignment on tasks without verifiable answers, but are expensive to manually produce from scratch.CuraEval: Evaluating Demonstration Curation on Mixed-Skill Robot Data
Robot imitation learning uses demonstrations from operators of varying skill, but selecting training data remains challenging.FACTS-MAS: A Multi-Agent Architecture for Adaptive Forecasting from Heterogeneous Evidence
Real-world forecasting often requires integrating heterogeneous evidence whose predictive value varies across horizons, operating regimes, and domains.The Indian Financial Automated Advice Bias (IFAAB) Dataset : Auditing Socioeconomic and Demographic Disparities in LLM-Generated Financial Advice in India
Large language models are increasingly used for financial guidance, yet little is known about whether their advice changes across social identities in Global South contexts.MEV: A Multi-Event Video Dataset for Long-Take Generation
Current datasets for text-to-video generation are largely limited to short clips depicting a single event or coarse-grained captions.Precedent or Intent? What Coding Agents Follow When Evolving Existing Code
Existing code reveals past implementation decisions but rarely explains the reasoning behind them.Verification-Guided Retrosynthesis: Reaction Feedback and Evidence Timing
Retrosynthesis planning seeks synthesis routes from purchasable starting materials to a target molecule.A Tutorial on Generative Models for Music Audio
Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and systems that play alongside a musician in real time.Cross Lingual Abstractive Summarization for Marathi
Text summarization is an important task for advancing natural language processing (NLP) research and applications in Indic languages.The Role of Quantization in Loss Spikes
Loss spikes in language model pretraining can waste substantial compute and derail otherwise healthy training runs.Vendster: An Evaluation Arena to Investigate How Forecasting Tool Quality Affects LLM Agent Behaviors in Buyer-Vendor Negotiation
Time-series forecasters are ranked almost entirely by accuracy metrics, but a forecast's decision value, its effect on the downstream decision, need not track accuracy and is rarely measured.EPSBench: Benchmarking LLM Agents for Earnings Forecasting
Quarterly earnings forecasting requires an agent to connect financial evidence to the income-statement line items that produce a company's reported earnings.Inner-Learning: From Hand-Coded Beliefs to Declarative Knowledge in Trick-Taking Games
We present a declarative approach to belief-state modeling in trick-taking card games.Game-Theoretic Foundations for Undiscounted Bisimulation Metrics
Bisimulation metrics offer a principled notion of task-relevant state similarity in reinforcement learning, but existing constructions and methods are largely confined to discounted MDPs, where…