7 citations · 19 across the 23 of their papers we have counts for
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cs.CL2024
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
Tianwei Lin, Jiang Liu, Wenqiao Zhang +9
While Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA have effectively addressed GPU memory constraints during fine-tuning, their performance often falls short, especially…
cs.CL2024
Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation
Yige Shen, Hao Jiang, Hua Qu +1
Despite their impressive capabilities, large language models (LLMs) often face challenges such as temporal misalignment and generating hallucinatory content. Enhancing LLMs with re…