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Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection
How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment
Evidence-Grounded Subspecialty Reasoning: Evaluating a Curated Clinical Intelligence Layer on the 2025 Endocrinology Board-Style Examination
Improving Interactive In-Context Learning from Natural Language Feedback
GPSBench: Do Large Language Models Understand GPS Coordinates?
Learning Personalized Agents from Human Feedback
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EnterpriseGym Corecraft: Training Generalizable Agents on High-Fidelity RL Environments
Revolutionizing Long-Term Memory in AI: New Horizons with High-Capacity and High-Speed Storage
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents
Multi-agent cooperation through in-context co-player inference
Verifiable Semantics for Agent-to-Agent Communication
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach
Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based on Chains, Trees, and Graphs
Creating a digital poet
Agent Skill Framework: Perspectives on the Potential of Small Language Models in Industrial Environments
Towards a Science of AI Agent Reliability
What Persona Are We Missing? Identifying Unknown Relevant Personas for Faithful User Simulation
EdgeNav-QE: QLoRA Quantization and Dynamic Early Exit for LAM-based Navigation on Edge Devices
The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts
Language Model Representations for Efficient Few-Shot Tabular Classification
Do Personality Traits Interfere? Geometric Limitations of Steering in Large Language Models
Can LLMs Assess Personality? Validating Conversational AI for Trait Profiling