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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 171
MMedAgent-Plus: Scaling Multimodal Medical Agents across Modalities, Tasks and Workflows
Medical workflows often require multiple interdependent analyses, but existing specialist and generalist AI models are not designed to coordinate them.EGI-BENCH: An Enterprise General Intelligence Benchmark Suite
Enterprise adoption of LLMs in agentic workflows is gated by evaluations that span a wide arc of abilities: CRM operations, heterogeneous-document retrieval, personal data understanding, multi-turn…AutoRedClaw: Automated Red-Teaming for Claw-Style Agents
Agent systems are shifting from task-scoped tool-use agents to persistent, personalized assistants such as OpenClaw.Target-Aware Curation of Hallucination Stress Tests for Large Language Models
Hallucination stress tests can yield similar average scores across language models even when different prompts elicit hallucinations in each model.ValiAssist: Scaling LLM-generated Programming Feedback Validation by Demonstration
Generative AI can create programming feedback at scale, but validating its alignment with instructors' pedagogical goals and strategies remains challenging.TxnQA: Benchmarking Analytical Reasoning and Evidence Grounding over Transaction Event Sequences
Analyzing merchant transaction histories requires dynamic temporal filtering, entity resolution, and aggregation over irregular event streams--operations poorly captured by static tabular or…When Models Know but Can't Linearly Say: Relational Encoding Limits Linear Vulnerability Classification in Code LLMs
Large language models can detect vulnerable code, yet the form of vulnerability encoding in their representations remains unclear.Theorem prover Arend
This paper is an exposition of the theorem prover Arend developed at JetBrains Research.Auditing Safety Preference Supervision with Recorded Derivations
Preference labels align model training, but the judgments behind them are difficult to inspect or verify.Certifying Repeatable Entry-Replay Witnesses for COBOL-to-Java Migration
Producing synthetic data for comparison testing a migrated COBOL application is a major challenge that agentic migrations face today.A latent control model for realistic rodent motion
The development of embodied models of animal behavior is a major goal of the neuro-AI community.VPFlow: Value-Predictive Planning with Imperfect World Models for Offline Goal Reaching
Offline goal-conditioned reinforcement learning enables skill acquisition by reaching any goal from any state without dense rewards.When Does Hate Transfer? A Large-Scale Study of Cross-Lingual Hate Speech Detection
Effective detection of hate content is essential for maintaining healthy online communities, yet performance can vary substantially across languages.TEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation
Test-case generation is critical but remains challenging for language models.Vulnerability Analysis for Safe Multi-Agent Reinforcement
Safe Multi-Agent Reinforcement Learning (SMARL) aims to learn cooperative control policies under prescribed safety constraints.Stronger artificial intelligence breakthroughs hasten their own exhaustion
Progress in artificial intelligence is widely assumed to scale with effort: more researchers, papers and investment should accelerate discovery.Generalizing Multimodal Foundational Models in Context-Driven Class Incremental Learning
Class-Incremental Learning (CIL) aims to learn new classes continuously without forgetting the previously learned ones.Evaluating Context Compaction on the Questions That Come Later
Language-model agents compact their context for the question at hand, but the compacted context must also serve questions that come later.Global Security Blind Spots: Translation as a Safety Bypass in Low-Resource Languages
Large language models are deployed globally, yet safety alignment and evaluation remain concentrated in English: harmful requests refused in English can elicit unsafe completions when translated…When Does an Added Planning Capability Create Operational Value? An Observable Evidence Standard
Industrial artificial intelligence (AI) planning systems combine predictive models, optimization logic, controls, and governance rules, but improvement in the complete policy does not show whether…