CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness

17 February 2024

Papers citing "CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness"

5 / 5 papers shown

Title
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning Xinglin Wang Shaoxiong Feng Yiwei Li Peiwen Yuan Y. Zhang Boyuan Pan Heda Wang Yao Hu Kan Li LRM 40 17 0 24 Aug 2024
Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation Liu He Yizhi Song Hejun Huang Pinxin Liu Yunlong Tang Daniel G. Aliaga Xin Zhou DiffM VGen 90 3 0 19 Aug 2024
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 162 412 0 03 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 298 4,077 0 24 May 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021