Papers by Kaibin Tian
Improving Preference Alignment of LLM with Inference-Free Self-Refinement (2025.findings-emnlp)
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| Challenge: | Large language models (LLMs) develop in-context learning capability through pretraining and instruction tuning. |
| Approach: | Large language models (LLMs) develop in-context learning capability through pretraining and instruction tuning. |
| Outcome: | Experiments show that incorporating IFSR into preference alignment yields performance improvement over 10%. |