Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs

18 October 2023

Sercan Ö. Arik

Tomas Pfister

Papers citing "Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs"

8 / 8 papers shown

Title
Teaching LLMs to Abstain across Languages via Multilingual Feedback Shangbin Feng Weijia Shi Yike Wang Wenxuan Ding Orevaoghene Ahia Shuyue Stella Li Vidhisha Balachandran Sunayana Sitaram Yulia Tsvetkov 65 4 0 22 Jun 2024
Enabling Weak LLMs to Judge Response Reliability via Meta Ranking Zijun Liu Boqun Kou Peng Li Ming Yan Ji Zhang Fei Huang Yang Janet Liu 24 2 0 19 Feb 2024
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers G. Yona Roee Aharoni Mor Geva ELM 36 11 0 09 Jan 2024
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation Xi Ye Ruoxi Sun Sercan Ö. Arik Tomas Pfister HILM 26 25 0 16 Nov 2023
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 67 94 0 30 Sep 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,236 0 21 Mar 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 805 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021