Large Language Models Are Latent Variable Models: Explaining and Finding
Good Demonstrations for In-Context Learning

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning

27 January 2023

Michael Stephen Saxon

William Yang Wang

Papers citing "Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning"

19 / 19 papers shown

Title
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning Gangwei Jiang Caigao Jiang Zhaoyi Li Siqiao Xue Jun-ping Zhou Linqi Song Defu Lian Yin Wei CLL MU 53 0 0 16 Feb 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Yutong Yin Zhaoran Wang LRM ReLM 45 0 0 27 Jan 2025
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection Sepideh Mamooler Syrielle Montariol Alexander Mathis Antoine Bosselut 78 1 0 16 Dec 2024
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models Nirmal Joshua Kapu Mihit Sreejith 30 0 0 30 Oct 2024
Sequential Large Language Model-Based Hyper-parameter Optimization Kanan Mahammadli Seyda Ertekin 40 4 0 27 Oct 2024
In-context learning and Occam's razor Eric Elmoznino Tom Marty Tejas Kasetty Léo Gagnon Sarthak Mittal Mahan Fathi Dhanya Sridhar Guillaume Lajoie 32 1 0 17 Oct 2024
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models Wenbo Hu Jia-Chen Gu Zi-Yi Dou Mohsen Fayyaz Pan Lu Kai-Wei Chang Nanyun Peng VLM 52 4 0 10 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning Jiale Fu Yaqing Wang Simeng Han Jiaming Fan Chen Si 23 1 0 03 Oct 2024
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models Fushuo Huo Wenchao Xu Zhong Zhang Haozhao Wang Zhicheng Chen Peilin Zhao VLM MLLM 58 18 0 04 Aug 2024
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems Jianliang He Siyu Chen Fengzhuo Zhang Zhuoran Yang LM&Ro LLMAG 38 2 0 30 May 2024
Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations José Luiz Nunes G. F. C. F. Almeida Marcelo de Araújo Simone D. J. Barbosa ELM PILM 31 2 0 17 May 2024
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues Yuncheng Hua Lizhen Qu Gholamreza Haffari 85 4 0 29 Jan 2024
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
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 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 315 8,261 0 28 Jan 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
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018