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ArXiv cs.AI
📄 Paper
2h ago
A Dual-Positive Monotone Parameterization for Multi-Segment Bids and a Validity Assessment Framework for Reinforcement Learning Agent-based Simulation of Electricity Markets
arXiv:2604.10252v1 Announce Type: new Abstract: Reinforcement learning agent-based simulation (RL-ABS) has become an important tool for electricity market mecha
ArXiv cs.AI
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2h ago
The Amazing Agent Race: Strong Tool Users, Weak Navigators
arXiv:2604.10261v1 Announce Type: new Abstract: Existing tool-use benchmarks for LLM agents are overwhelmingly linear: our analysis of six benchmarks shows 55 t
ArXiv cs.AI
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2h ago
STARS: Skill-Triggered Audit for Request-Conditioned Invocation Safety in Agent Systems
arXiv:2604.10286v1 Announce Type: new Abstract: Autonomous language-model agents increasingly rely on installable skills and tools to complete user tasks. Stati
ArXiv cs.AI
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2h ago
Dead Cognitions: A Census of Misattributed Insights
arXiv:2604.10288v1 Announce Type: new Abstract: This essay identifies a failure mode of AI chat systems that we term attribution laundering: the model performs
ArXiv cs.AI
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2h ago
AI Organizations are More Effective but Less Aligned than Individual Agents
arXiv:2604.10290v1 Announce Type: new Abstract: AI is increasingly deployed in multi-agent systems; however, most research considers only the behavior of indivi
ArXiv cs.AI
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2h ago
TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale
arXiv:2604.10291v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown promising performance in time series modeling tasks, but do they truly u
ArXiv cs.AI
📄 Paper
2h ago
Gypscie: A Cross-Platform AI Artifact Management System
arXiv:2604.10311v1 Announce Type: new Abstract: Artificial Intelligence (AI) models, encompassing both traditional machine learning (ML) and more advanced appro
ArXiv cs.AI
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2h ago
From GPT-3 to GPT-5: Mapping their capabilities, scope, limitations, and consequences
arXiv:2604.10332v1 Announce Type: new Abstract: We present the progress of the GPT family from GPT-3 through GPT-3.5, GPT-4, GPT-4 Turbo, GPT-4o, GPT-4.1, and t
ArXiv cs.AI
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2h ago
Zero-shot World Models Are Developmentally Efficient Learners
arXiv:2604.10333v1 Announce Type: new Abstract: Young children demonstrate early abilities to understand their physical world, estimating depth, motion, object
ArXiv cs.AI
📄 Paper
2h ago
VeriTrans: Fine-Tuned LLM-Assisted NL-to-PL Translation via a Deterministic Neuro-Symbolic Pipeline
arXiv:2604.10341v1 Announce Type: new Abstract: \textbf{VeriTrans} is a reliability-first ML system that compiles natural-language requirements into solver-read
ArXiv cs.AI
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2h ago
ClawVM: Harness-Managed Virtual Memory for Stateful Tool-Using LLM Agents
arXiv:2604.10352v1 Announce Type: new Abstract: Stateful tool-using LLM agents treat the context window as working memory, yet today's agent harnesses manage re
ArXiv cs.AI
📄 Paper
2h ago
Beyond Monologue: Interactive Talking-Listening Avatar Generation with Conversational Audio Context-Aware Kernels
arXiv:2604.10367v1 Announce Type: new Abstract: Audio-driven human video generation has achieved remarkable success in monologue scenarios, largely driven by ad
ArXiv cs.AI
📄 Paper
2h ago
TrajOnco: a multi-agent framework for temporal reasoning over longitudinal EHR for multi-cancer early detection
arXiv:2604.10386v1 Announce Type: new Abstract: Accurate estimation of cancer risk from longitudinal electronic health records (EHRs) could support earlier dete
ArXiv cs.AI
📄 Paper
2h ago
CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation
arXiv:2604.10410v1 Announce Type: new Abstract: Interpreting chest X-rays is inherently challenging due to the overlap between anatomical structures and the sub
ArXiv cs.AI
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2h ago
Safety Guarantees in Zero-Shot Reinforcement Learning for Cascade Dynamical Systems
arXiv:2604.10429v1 Announce Type: new Abstract: This paper considers the problem of zero-shot safety guarantees for cascade dynamical systems. These are systems
ArXiv cs.AI
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2h ago
VeriSim: A Configurable Framework for Evaluating Medical AI Under Realistic Patient Noise
arXiv:2604.10441v1 Announce Type: new Abstract: Medical large language models (LLMs) achieve impressive performance on standardized benchmarks, yet these evalua
ArXiv cs.AI
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2h ago
PEMANT: Persona-Enriched Multi-Agent Negotiation for Travel
arXiv:2604.10475v1 Announce Type: new Abstract: Modeling household-level trip generation is fundamental to accurate demand forecasting, traffic flow estimation,
ArXiv cs.AI
📄 Paper
2h ago
Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
arXiv:2604.10480v1 Announce Type: new Abstract: Post-training data plays a pivotal role in shaping the capabilities of Large Language Models (LLMs), yet dataset
ArXiv cs.AI
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2h ago
CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMs
arXiv:2604.10502v1 Announce Type: new Abstract: Content moderation in online platforms faces persistent challenges due to the evolving complexity of user-genera
ArXiv cs.AI
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2h ago
CARO: Chain-of-Analogy Reasoning Optimization for Robust Content Moderation
arXiv:2604.10504v1 Announce Type: new Abstract: Current large language models (LLMs), even those explicitly trained for reasoning, often struggle with ambiguous
ArXiv cs.AI
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2h ago
Cooperation in Human and Machine Agents: Promise Theory Considerations
arXiv:2604.10505v1 Announce Type: new Abstract: Agent based systems are more common than we may think. A Promise Theory perspective on cooperation, in systems o
ArXiv cs.AI
📄 Paper
2h ago
A Progressive Training Strategy for Vision-Language Models to Counteract Spatio-Temporal Hallucinations in Embodied Reasoning
arXiv:2604.10506v1 Announce Type: new Abstract: Vision-Language Models (VLMs) have made significant strides in static image understanding but continue to face c
ArXiv cs.AI
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2h ago
Beyond Compliance: A Resistance-Informed Motivation Reasoning Framework for Challenging Psychological Client Simulation
arXiv:2604.10507v1 Announce Type: new Abstract: Psychological client simulators have emerged as a scalable solution for training and evaluating counselor traine
ArXiv cs.AI
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2h ago
Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation
arXiv:2604.10511v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for causal and counterfactual reasoning, yet their reliabilit
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