codefuse-papers
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Hang Yu
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Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient
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10
papers
29 days ago
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Paper
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2310.06266
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Published
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2
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper
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2311.02303
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Published
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11
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
Paper
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2406.17262
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Published
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1
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy
Paper
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2407.14568
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Published
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
Paper
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2409.06679
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Published
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1
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
Paper
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2409.04183
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Published
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2
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
Paper
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2410.06741
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Published
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2
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
Paper
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2410.06577
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Published
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14
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
Paper
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2503.17793
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Published
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19
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
Paper
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2505.16901
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Published
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44