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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 27
Objective-Conditioned Active Preference Learning for Multi-Objective Alignment
Aligning large language models (LLMs) with several objectives, such as helpfulness, harmlessness, and honesty, typically relies on preference judgment for each objective, growing the annotation cost…SlackBench: Benchmarking Agents on Collaborative Projects Grounded in Real Code Repositories
AI Agents are becoming digital coworkers that can browse the web, write code, run experiments, and assist humans over extended horizons.TSFM Meets LLM: Context as Covariates
Textual information is ubiquitous in real-world time series datasets, appearing as news, reports, and annotations that hold key predictive signals not deducible from numerical history alone.When to Ask, When to Answer: Strategic Clarification for Ambiguous Reference Resolution in Dialogue
For humans, referential disambiguation is a collaborative process involving clarification questions asked when they will meaningfully change the outcome.MA-SafeDiffuser: Safe Multi-Agent Planning with Diffusion Probabilistic Models
We propose MA-SafeDiffuser, a multi-agent extension of SafeDiffuser that equips diffusion-based trajectory planners with finite-time diffusion invariance guarantees for joint-agent safety…Towards Efficient Whole Page Ranking with One-Pass Inference
Whole-page ranking jointly optimizes advertisements and organic content to balance business outcomes and user engagement under complex layout and business constraints.Iterated creation, grading, and revision of data science projects by language models
We evaluate the extent to which agentic AI models can complete an end-to-end data science project, and how this improves with feedback.Whose Transparency is it Anyway? Understanding Generative AI Transparency Needs and Gaps Across Stakeholders
Transparency has become a central principle in AI governance, yet there is little agreement about what transparency means, for whom, and in what contexts.VirtualTrialHarness: Coordinating Agentic Operationalization of Virtual Trial Protocols Across Complex Clinical Schemas
Virtual trials use routinely collected clinical data to evaluate treatment strategies, but translating a study protocol into an executable analysis requires determining how clinical concepts and…Decision Models as Scalable Economic Surrogates that Capture Human Variation
Decision Models (DMs), a new class of AI models, give fast responses and return a probability distribution over a fixed set of options.AGORA: Reliability-Aware Aggregation of LLM Judges via Item-Response Theory
LLM-as-a-judge is a common substitute for costly human evaluation, and aggregating several judges is the standard remedy for any single judge's bias.How Finely Can Vision-Language Models See Biology? Bio-VQA: A Benchmark for Taxonomic, Morphological, Spatial and Individual Reasoning
In biodiversity monitoring, a single image raises several questions: which taxon, how many, which trait, and whether the individual has been seen before.Discarded or Unreachable? Diagnosing and Repairing Spatial Relation Failure in Vision--Language Similarity
Contrastive vision-language models score left/right relations near chance, but the symptom has two causes that call for opposite repairs: the relation may survive in the pooled embedding yet be…MESA: An Evaluation Framework for Compositional, Semantic, and Spatial Generalization in Robotics
Despite growing interest in foundation models for robotic manipulation, systematic evaluation of their capabilities remains elusive.Just the Facts: How Dialogues with AI Reduce Conspiracy Beliefs
Personalized dialogues with AI substantially reduce conspiracy beliefs.Readable Is Not Steerable: Pre-Registered Tests of Physical Structure in Learned Fluid Representations
Self-supervised world models are often said to organize their latents around physical quantities.Multimodal Fusion Methods for Whole-Slide Images and Clinical Data in Inflammatory Bowel Disease
Multimodal AI fusion of histology and clinical data is an active research area in computational pathology, but fusion methods are rarely compared under identical conditions and across different…BrainBind: Bridging Synchronized EEG and fMRI through Long-Form Naturalistic Video Representations
Real-world vision is dynamic and scene-rich, while EEG and fMRI resolve it at complementary temporal and spatial scales.Anduin: A sybil-resistant agentic marketplace reputation system
As autonomous AI agents enter permissionless onchain markets, selecting new service providers remains a core challenge.Verified but Vacuous: Three Failure Surfaces of LLM-Driven Verified Code Generation
What should ``verified'' mean when evaluating LLM-generated code?