Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance

8 May 2024

Papers citing "Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance"

7 / 7 papers shown

Title
PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression Lizhe Chen Binjia Zhou Yuyao Ge Jiayi Chen Shiguang NI 39 0 0 23 Apr 2025
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 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 297 3,163 0 21 Mar 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Neural Legal Judgment Prediction in English Ilias Chalkidis Ion Androutsopoulos Nikolaos Aletras AILaw ELM 101 325 0 05 Jun 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 876 0 03 May 2018