1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time
Jikun Kang, Xin Zhe Li, Xi Chen +9
Although Large Language Models (LLMs) achieve remarkable performance across various tasks, they often struggle with complex reasoning tasks, such as answering mathematical question…
cs.LG2023★ 1 cited
LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models
Qianxi Li, Yingyue Cao, Jikun Kang +4
Fine-tuning Large Language Models (LLMs) adapts a trained model to specific downstream tasks, significantly improving task-specific performance. Supervised Fine-Tuning (SFT) is a c…