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• How Do Large Language Models Learn Concepts During Continual Pre-Training?
  2026
• Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding
  2026
• Zero-shot adaptable task planning for autonomous construction robots: a comparative study of lightweight single and multi-AI agent systems
  2026
• From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
  2026
• Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures
  2025
• Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions
  2025
• Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions
  2025
• Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
  2025
• Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
  2024