Entropy Guided Extrapolative Decoding to Improve Factuality in Large
Language Models

Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models

14 April 2024

Linfeng Song

Dong Yu

Papers citing "Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models"

7 / 7 papers shown

Title
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding Sakhinana Sagar Srinivas Akash Das Shivam Gupta Venkataramana Runkana OffRL 80 1 0 02 Apr 2025
Do Large Language Models Know What They Don't Know? Zhangyue Yin Qiushi Sun Qipeng Guo Jiawen Wu Xipeng Qiu Xuanjing Huang ELM AI4MH 47 158 0 29 May 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kıcıman Robert Osazuwa Ness Amit Sharma Chenhao Tan LRM ELM 65 269 0 28 Apr 2023
Hallucinations in Large Multilingual Translation Models Nuno M. Guerreiro Duarte M. Alves Jonas Waldendorf Barry Haddow Alexandra Birch Pierre Colombo André F.T. Martins VLM HILM LRM 102 144 0 28 Mar 2023
REPLUG: Retrieval-Augmented Black-Box Language Models Weijia Shi Sewon Min Michihiro Yasunaga Minjoon Seo Rich James M. Lewis Luke Zettlemoyer Wen-tau Yih RALM VLM KELM 109 611 0 30 Jan 2023
Contrastive Decoding: Open-ended Text Generation as Optimization Xiang Lisa Li Ari Holtzman Daniel Fried Percy Liang Jason Eisner Tatsunori Hashimoto Luke Zettlemoyer M. Lewis 70 348 0 27 Oct 2022
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation Li Mingzhe Xiexiong Lin Preslav Nakov Jinxiong Chang Qishen Zhang ... Taifeng Wang Zhongyi Liu Wei Chu Dongyan Zhao Rui Yan 95 11 0 26 May 2022