Diverse Demonstrations Improve In-context Compositional Generalization

13 December 2022

Papers citing "Diverse Demonstrations Improve In-context Compositional Generalization"

23 / 23 papers shown

Title
Exploring the Role of Diversity in Example Selection for In-Context Learning Janak Kapuriya Manit Kaushik Debasis Ganguly S. Bhatia 15 0 0 03 May 2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization Huiyi Chen Jiawei Peng Kaihua Tang Xin Geng Xu Yang 22 0 0 19 Apr 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang C. L. P. Chen Anirudh Dagar Wenming Ye LRM 60 38 0 31 Dec 2024
In-Context Learning Enables Robot Action Prediction in LLMs Yida Yin Zekai Wang Yuvan Sharma Dantong Niu Trevor Darrell Roei Herzig LM&Ro 49 1 0 16 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
In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch Maor Ivgi Uri Alon Jonathan Berant Matthew R. Gormley Matthew R. Gormley Graham Neubig ReLM AIMat 81 64 0 30 Apr 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models Wei He Shichun Liu Jun Zhao Yiwen Ding Yi Lu Zhiheng Xi Tao Gui Qi Zhang Xuanjing Huang 37 1 0 01 Apr 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 46 0 0 13 Mar 2024
Faith and Fate: Limits of Transformers on Compositionality Nouha Dziri Ximing Lu Melanie Sclar Xiang Lorraine Li Liwei Jian ... Sean Welleck Xiang Ren Allyson Ettinger Zaïd Harchaoui Yejin Choi ReLM LRM 28 324 0 29 May 2023
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations Wei-Lin Chen Cheng-Kuang Wu Yun-Nung Chen Hsin-Hsi Chen 8 27 0 24 May 2023
Small Models are Valuable Plug-ins for Large Language Models Canwen Xu Yichong Xu Shuohang Wang Yang Liu Chenguang Zhu Julian McAuley LLMAG 34 42 0 15 May 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 103 91 0 06 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 152 411 0 03 Oct 2022
Compositional Semantic Parsing with Large Language Models Andrew Drozdov Nathanael Scharli Ekin Akyuurek Nathan Scales Xinying Song Xinyun Chen Olivier Bousquet Denny Zhou ReLM LRM 187 91 0 29 Sep 2022
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing Yury Zemlyanskiy Michiel de Jong Joshua Ainslie Panupong Pasupat Peter Shaw Linlu Qiu Sumit Sanghai Fei Sha RALM 120 17 0 29 Sep 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
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 23 12 0 22 Feb 2022
Controllable Semantic Parsing via Retrieval Augmentation Panupong Pasupat Yuan Zhang Kelvin Guu 117 47 0 16 Oct 2021
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 213 155 0 15 Oct 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
Task-Oriented Dialogue as Dataflow Synthesis Semantic Machines Jacob Andreas J. Bufe David Burkett Charles C. Chen ... Izabela Witoszko Jason Wolfe A. Wray Yuchen Zhang Alexander Zotov AIFin 180 151 0 24 Sep 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
Determinantal point processes for machine learning Alex Kulesza B. Taskar 152 1,123 0 25 Jul 2012