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ArXiv cs.AI 📄 Paper 4h ago
Affording Process Auditability with QualAnalyzer: An Atomistic LLM Analysis Tool for Qualitative Research
arXiv:2604.03820v1 Announce Type: new Abstract: Large language models are increasingly used for qualitative data analysis, but many workflows obscure how analyt
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ArXiv cs.AI 📄 Paper 4h ago
PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage
arXiv:2604.03888v1 Announce Type: new Abstract: This paper presents PolySwarm, a novel multi-agent large language model (LLM) framework designed for real-time p
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ArXiv cs.AI 📄 Paper 4h ago
FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning
arXiv:2604.03893v1 Announce Type: new Abstract: Breakthroughs in frontier theory often depend on the combination of concrete diagrammatic notations with rigorou
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ArXiv cs.AI 📄 Paper 4h ago
LLM-Agent-based Social Simulation for Attitude Diffusion
arXiv:2604.03898v1 Announce Type: new Abstract: This paper introduces discourse_simulator, an open-source framework that combines LLMs with agent-based modellin
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ArXiv cs.AI 📄 Paper 4h ago
CODE-GEN: A Human-in-the-Loop RAG-Based Agentic AI System for Multiple-Choice Question Generation
arXiv:2604.03926v1 Announce Type: new Abstract: We present CODE-GEN, a human-in-the-Loop, retrieval-augmented generation (RAG)-based agentic AI system for gener
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ArXiv cs.AI 📄 Paper 4h ago
SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources
arXiv:2604.03964v1 Announce Type: new Abstract: Modern scientific ecosystems are rich in procedural knowledge across repositories, APIs, scripts, notebooks, doc
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ArXiv cs.AI 📄 Paper 4h ago
Quantifying Trust: Financial Risk Management for Trustworthy AI Agents
arXiv:2604.03976v1 Announce Type: new Abstract: Prior work on trustworthy AI emphasizes model-internal properties such as bias mitigation, adversarial robustnes
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ArXiv cs.AI 📄 Paper 4h ago
FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification
arXiv:2604.04074v1 Announce Type: new Abstract: Peer review in machine learning is under growing pressure from rising submission volume and limited reviewer tim
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ArXiv cs.AI 📄 Paper 4h ago
Compliance-by-Construction Argument Graphs: Using Generative AI to Produce Evidence-Linked Formal Arguments for Certification-Grade Accountability
arXiv:2604.04103v1 Announce Type: new Abstract: High-stakes decision systems increasingly require structured justification, traceability, and auditability to en
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ArXiv cs.AI 📄 Paper 4h ago
InsTraj: Instructing Diffusion Models with Travel Intentions to Generate Real-world Trajectories
arXiv:2604.04106v1 Announce Type: new Abstract: The generation of realistic and controllable GPS trajectories is a fundamental task for applications in urban pl
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ArXiv cs.AI 📄 Paper 4h ago
Profile-Then-Reason: Bounded Semantic Complexity for Tool-Augmented Language Agents
arXiv:2604.04131v1 Announce Type: new Abstract: Large language model agents that use external tools are often implemented through reactive execution, in which r
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ArXiv cs.AI 📄 Paper 4h ago
Solar-VLM: Multimodal Vision-Language Models for Augmented Solar Power Forecasting
arXiv:2604.04145v1 Announce Type: new Abstract: Photovoltaic (PV) power forecasting plays a critical role in power system dispatch and market participation. Bec
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ArXiv cs.AI 📄 Paper 4h ago
Readable Minds: Emergent Theory-of-Mind-Like Behavior in LLM Poker Agents
arXiv:2604.04157v1 Announce Type: new Abstract: Theory of Mind (ToM) -- the ability to model others' mental states -- is fundamental to human social cognition.
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ArXiv cs.AI 📄 Paper 4h ago
A Model of Understanding in Deep Learning Systems
arXiv:2604.04171v1 Announce Type: new Abstract: I propose a model of systematic understanding, suitable for machine learning systems. On this account, an agent
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ArXiv cs.AI 📄 Paper 4h ago
CoALFake: Collaborative Active Learning with Human-LLM Co-Annotation for Cross-Domain Fake News Detection
arXiv:2604.04174v1 Announce Type: new Abstract: The proliferation of fake news across diverse domains highlights critical limitations in current detection syste
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ArXiv cs.AI 📄 Paper 4h ago
Comparative reversal learning reveals rigid adaptation in LLMs under non-stationary uncertainty
arXiv:2604.04182v1 Announce Type: new Abstract: Non-stationary environments require agents to revise previously learned action values when contingencies change.
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ArXiv cs.AI 📄 Paper 4h ago
Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification
arXiv:2604.04190v1 Announce Type: new Abstract: Knowledge Graphs (KGs) serve as a critical foundation for AI systems, yet their automated construction inevitabl
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ArXiv cs.AI 📄 Paper 4h ago
Don't Blink: Evidence Collapse during Multimodal Reasoning
arXiv:2604.04207v1 Announce Type: new Abstract: Reasoning VLMs can become more accurate while progressively losing visual grounding as they think. This creates
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ArXiv cs.AI 📄 Paper 4h ago
TimeSeek: Temporal Reliability of Agentic Forecasters
arXiv:2604.04220v1 Announce Type: new Abstract: We introduce TimeSeek, a benchmark for studying how the reliability of agentic LLM forecasters changes over a pr
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ArXiv cs.AI 📄 Paper 4h ago
Pedagogical Safety in Educational Reinforcement Learning: Formalizing and Detecting Reward Hacking in AI Tutoring Systems
arXiv:2604.04237v1 Announce Type: new Abstract: Reinforcement learning (RL) is increasingly used to personalize instruction in intelligent tutoring systems, yet
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ArXiv cs.AI 📄 Paper 4h ago
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
arXiv:2604.04247v1 Announce Type: new Abstract: Recent advances in prompt learning allow large language model agents to acquire task-relevant knowledge from inf
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ArXiv cs.AI 📄 Paper 4h ago
MC-CPO: Mastery-Conditioned Constrained Policy Optimization
arXiv:2604.04251v1 Announce Type: new Abstract: Engagement-optimized adaptive tutoring systems may prioritize short-term behavioral signals over sustained learn
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ArXiv cs.AI 📄 Paper 4h ago
Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration
arXiv:2604.04258v1 Announce Type: new Abstract: The quality of AI-generated output is often attributed to prompting technique, but extensive empirical observati
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ArXiv cs.AI 📄 Paper 4h ago
Beyond Fluency: Toward Reliable Trajectories in Agentic IR
arXiv:2604.04269v1 Announce Type: new Abstract: Information Retrieval is shifting from passive document ranking toward autonomous agentic workflows that operate
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