Papers by Rundong Shi
Calibrating the Confidence of Large Language Models by Eliciting Fidelity (2024.emnlp-main)
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| Challenge: | Large language models with RLHF and RLAIF have good alignment but exhibit overconfidence post-alignment. |
| Approach: | They propose a plug-and-play method to estimate the confidence of large language models. |
| Outcome: | The proposed method has shown good calibration performance on 6 RLHF-LMs on four MCQA datasets. |