Improving Self Consistency in LLMs through Probabilistic Tokenization

4 July 2024

Papers citing "Improving Self Consistency in LLMs through Probabilistic Tokenization"

8 / 8 papers shown

Title
Speculative Decoding for Multi-Sample Inference Yiwei Li Jiayi Shi Shaoxiong Feng Peiwen Yuan Xinyu Wang ... Ji Zhang Chuyi Tan Boyuan Pan Yao Hu Kan Li LRM 44 0 0 07 Mar 2025
Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation Yiwei Li Ji Zhang Shaoxiong Feng Peiwen Yuan Xinyu Wang ... Y. Zhang Chuyi Tan Boyuan Pan Yao Hu Kan Li HILM 47 1 0 27 Feb 2025
Scaling LLM Pre-training with Vocabulary Curriculum Fangyuan Yu 75 2 0 25 Feb 2025
Number Cookbook: Number Understanding of Language Models and How to Improve It Haotong Yang Yi Hu Shijia Kang Zhouchen Lin Muhan Zhang LRM 46 2 0 06 Nov 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 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 314 3,248 0 21 Mar 2022
Locally Typical Sampling Clara Meister Tiago Pimentel Gian Wiher Ryan Cotterell 143 86 0 01 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 389 8,495 0 28 Jan 2022