AI & Machine Learning · Computer Science & AI
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 36
Beyond Surface Metrics: Multi-Condition Requirements in Enterprise Maintenance and AI Coding Benchmarks
Repository-level AI coding benchmarks measure task success but do not directly capture the conditions required for software maintenance completion.LaBraM at Scale: Scaling Data and Models for EEG Pretraining
LaBraM, an early EEG foundation model, demonstrated that large-scale EEG pretraining can yield strong representations for diverse downstream tasks.CoworkOS:Scaling Agent Coworkers for Real-world Automation
Rapid advances in cowork agents are shifting human-AI collaboration toward real-world automation, delivering software, designs, and other artifacts.Auto-Research Agent on MSA Organization to Improve Protein-Protein Complex Structure Prediction
Protein-complex structure prediction with AlphaFold 3 depends on MSA content, depth, and cross-chain pairing.Written Once, Read Differently How Language Models Own Answers Steer Their Next Ones
When a language model answers a yes/no question, that answer changes how it answers a different question about the same entity.Reducing SNAP Payment Errors at Lower Cost With AI: A Simulation Study
New federal legislation will require states with high payment error rates in the Supplemental Nutrition Assistance Program (SNAP) to pay a share of benefit costs, potentially costing some states…Can Coding Agents Sustain Continual Evolution without Forgetting?
Recently, harness self-evolution has emerged as an important paradigm for improving agent performance.CERBO: Certified Recourse at a Requested Rate for Gradient-Boosted Trees
Recourse-aware learning trains models so that people who receive an adverse decision can reverse it with an affordable change.Do Agents Still Follow the Rules? Benchmarking Rule Compliance under Agent Context Compaction
LLM agents compact long histories to fit their context windows, but the compacted context must still carry the operating rules that govern later actions.Axion 1.0: Open Agent Foundation Models, Simplified
We introduce Axion 1.0, a fully open agent foundation model that combines strong and broad agentic capabilities with a remarkably simple training recipe.ScienceCUA: Resource-to-Skill Construction and Execution-Guided Skill Evolution for Scientific Computer Use Agents
Computer-use agents for scientific software require application-specific expertise.Rethinking Fairness Metrics for Multi-Class and Multi-Group Assessment: Not Everything is Binary
Artificial Intelligence, and Machine Learning in general, is becoming pervasive across all domains and disciplines.Top-$k$ Retrieval Leaves Memory Value Undetermined
A memory-augmented agent must decide which memories to keep, merge and retrieve, and its only evidence of their value is its retrieval log: the memories it retrieved in each episode and whether it…SQLoom: Set-Contrastive Learning of Syntactic, Semantic, and Logical Dependencies for Text-to-SQL
Text-to-SQL translates natural language questions into SQL queries, enabling database access without writing SQL.An Axiomatic Framework for Reinforcement Learning in Open Multi-Agent Systems
Open multi-agent systems, where only a subset of agents are controllable, are central to real-world domains such as smart grids, yet lack a principled foundation for reinforcement learning algorithm…LLMs Depend on Specialist Tools for Out-of-Distribution Generalization in MS/MS Structural Elucidation
A frontier language model was recently reported to solve 1D NMR structural elucidation without tools.TrafficInstruct: A Multi-Task Network Traffic Dataset and Benchmark for Instruction Tuning
Instruction tuning for multi-task network traffic analysis requires data with clearly defined sources, supervision targets, and evaluation conditions.From FAIR to AI-FAIR Metadata-First Infrastructure for AI-Enabled Science
Artificial intelligence (AI) technologies and their capabilities have advanced rapidly over the past few years, leading to widespread interest and adoption in the biological and ecological sciences.The SIMPLE Law for Energy Cost of LLM Inference
Generative AI is billed per token, yet tokens are not equally expensive.Characterizing When Language Models Take Harmful Actions to Protect Their Assigned Goals
Recent language model (LM) safety failures have largely been studied as disparate phenomena.