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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 22
CosmosAlpha: Multi-Relational Graph Search with Pareto-Guided Exploration for LLM-Driven Alpha Mining
Discovering predictive alpha factors from noisy financial data is a fundamental yet challenging problem in quantitative finance.Inter-Agent Influence: Evaluating Persuasion, Deception, and Coercion in Multi-Agent Systems
The deployment of AI agents in multi-agent settings enables inter-agent influence, whereby agents can strategically steer each other's behaviour towards an intended outcome.A research world model of power engineering learns its dynamics and reveals what-ifs
Decisions about the direction of research in power engineering determine which technologies mature and, through them, shape infrastructure that lasts decades, yet their consequences cannot be…Spectral Quantum Memory for Implicit Neural Representations
Implicit neural representations (INRs) model signals as continuous functions from coordinates to values, but their performance depends strongly on how spectral capacity is allocated.ValQID: Learning the Net Value of Semantic Query Groups for Web Device Identification
Web interfaces are widely used to access network services and manage networked devices.Can Network Models of Science Do Without Pluralist Agents?
Science is a process of useful models being proven wrong time and again, but despite its many flaws, it somehow works.Polyp Matching Using Deep Learning
A key challenge in colon capsule endoscopy (CCE) analysis is accurately identifying whether multiple images depict the same polyp, which is critical to avoid over-counting and unnecessary clinical…QueryFlow: Multi-Hop Graph Retrieval with Adaptive Query Evolution
Multi-hop retrieval-augmented generation (RAG) supports Web information seeking and fact verification by recovering complementary evidence across related pages within a limited retrieval budget.SAT Encoding for Set of At-Most-K Cardinality Constraints with Ladder Shape
This paper presents a novel SAT encoding designed to represent a sequence of At-Most-K cardinality constraints arranged in a ladder-like structure, referred to as the Ladder AMK constraint.Does LinUCB Need Valid Confidence Sets?
We show that replacing LinUCB's usual confidence width $β$ by any fixed $α>0$ preserves sublinear regret when the action set is $M$-smooth and $m$-strongly convex.Therapy-FIS: A Dataset for Assessing Facilitative Interpersonal Skills in Psychotherapeutic Setting
Facilitative Interpersonal Skills (FIS) is a performance-based assessment method that provides a structured framework for evaluating the interpersonal competencies of mental health professionals.Best-of-Depth: Learning Exploratory Dynamics in Looped Transformers
Looped Transformers extend inference-time computation through repeated latent-state updates, but final-depth training does not directly encourage useful intermediate alternatives.Uncertainty-Aware Prototype Learning for Open-Set Test-Time Adaptation
Open-set test-time adaptation (TTA) aims to adapt source-trained models to unlabeled test streams where covariate-shifted in-distribution (csID) samples and covariate-shifted out-of-distribution…When Ground Truth Is Not Ground Truth: Automatic Labeling for Hallucination Detection
Hallucinations in Large Language Models (LLMs) remain a major challenge, as they can produce misleading, factually incorrect, or unverifiable information, thereby undermining their trustworthiness…CLARA: A Cognitively-Driven Clarification Framework for Grounding Ambiguous Requests
Robotics and AI systems are increasingly deploying large vision-language models (LVLMs) to follow high-level instructions, from routine household chores to more complex organizational tasks.DenseTwins: Dense Modality Decoupling for Multimodal Self-Supervision
Multimodal perception is central to many computer vision applications, including robotics and autonomous driving, where different sensing modalities provide complementary cues.Cycle WAM: Coupling Action and Video through Cycle Consistency
Recent advances in video modeling have driven substantial progress in world action models (WAMs).TAPES: Task-Aligned Joint Predictive Pretraining for Transaction Event Sequences
Transaction event sequences support diverse prediction tasks in online commerce and digital financial services.When Should an LLM Steering Edit Depend on the Input?
An activation steering edit should depend on the input exactly when the destination varies \emph{inside} the class a query requests, and that is measurable before any rule is fitted or applied.TactiNavi: Serving and Revising an LLM Game Coach with Explicit Strategy Conditions
A deployed LLM coaching agent answers requests whose correct response depends on player state and game version, so advice that is right for one player can be wrong for the next.