← authors · overview

• Next: Teaching Large Language Models To Reason About Code Execution
  2024 · 72 citations
• DyFlow: Dynamic Workflow Framework for Agentic Reasoning
  2025 · 8 citations
• Survey on Evaluation of LLM-based Agents
  2025 · 8 citations
• TESS: Text-to-Text Self-Conditioned Simplex Diffusion
  2023 · 4 citations
• Time to REFLECT: Can We Trust LLM Judges for Evidence-based Research Agents?
  2026
• Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction
  2026
• References Improve LLM Alignment in Non-Verifiable Domains
  2026
• MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
  2025
• ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
  2025
• CEDR: Contextualized Embeddings for Document Ranking
  2019
• Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
  2023
• Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
  2023
• ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks
  2023
• FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  2024
• Understanding Reference Policies in Direct Preference Optimization
  2024