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• Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
  2023 · 17 citations
• SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy
  2024 · 2 citations
• CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
  2023 · 1 citations
• MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
  2023 · 1 citations
• Beyond Retrieval: A Multitask Benchmark and Model for Code Search
  2026
• SWE-Fuse: Empowering Software Agents via Issue-free Trajectory Learning and Entropy-aware RLVR Training
  2026
• C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
  2025
• CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects
  2025
• Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
  2025
• Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
  2025
• Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
  2025
• GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
  2024
• A Problem-Oriented Perspective and Anchor Verification for Code Optimization
  2024