codefuse-ai 's Collections codefuse-papers
updated
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper
• 2311.02303
• Published
• 12
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Paper
• 2310.06266
• Published
• 2
CoBa: Convergence Balancer for Multitask Finetuning of Large Language
Models
Paper
• 2410.06741
• Published
• 3
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality
Data for Efficient and Accurate Code LLM
Paper
• 2503.17793
• Published
• 24
Code Graph Model (CGM): A Graph-Integrated Large Language Model for
Repository-Level Software Engineering Tasks
Paper
• 2505.16901
• Published
• 48
Unifying the Perspectives of NLP and Software Engineering: A Survey on
Language Models for Code
Paper
• 2311.07989
• Published
• 26
Prompting Frameworks for Large Language Models: A Survey
Paper
• 2311.12785
• Published
LLMDFA: Analyzing Dataflow in Code with Large Language Models
Paper
• 2402.10754
• Published
• 1
GALLa: Graph Aligned Large Language Models for Improved Source Code
Understanding
Paper
• 2409.04183
• Published
• 3
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient
Attentions
Paper
• 2410.06577
• Published
• 14
CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects
Paper
• 2509.14856
• Published
• 2
D2LLM: Decomposed and Distilled Large Language Models for Semantic
Search
Paper
• 2406.17262
• Published
• 5
E2LLM: Encoder Elongated Large Language Models for Long-Context
Understanding and Reasoning
Paper
• 2409.06679
• Published
• 4
F2LLM Technical Report: Matching SOTA Embedding Performance with 6
Million Open-Source Data
Paper
• 2510.02294
• Published
• 46
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper
• 2512.21332
• Published
• 16