Dr.ICL: Demonstration-Retrieved In-context Learning

23 May 2023

Papers citing "Dr.ICL: Demonstration-Retrieved In-context Learning"

44 / 44 papers shown

Title
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 37 0 0 02 May 2025
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models Shaotian Yan Chen Shen Wenxiao Wang Liang Xie Junjie Liu Jieping Ye ReLM LRM 45 0 0 14 Mar 2025
Is Relevance Propagated from Retriever to Generator in RAG? Fangzheng Tian Debasis Ganguly Craig Macdonald RALM 45 1 0 24 Feb 2025
D.Va: Validate Your Demonstration First Before You Use It Qi Zhang Zhiqing Xiao Ruixuan Xiao Lirong Gao Junbo Zhao 46 0 0 20 Feb 2025
Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text Ali Al-Lawati Jason Lucas Prasenjit Mitra LMTD 38 0 0 06 Jan 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
Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages Hoang Nguyen Khyati Mahajan Vikas Yadav Philip S. Yu Masoud Hashemi Rishabh Maheshwary Rishabh Maheshwary 43 0 0 04 Nov 2024
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs Abdellah El Mekki Muhammad Abdul-Mageed LRM 24 0 0 14 Oct 2024
DemoShapley: Valuation of Demonstrations for In-Context Learning Shan Xie Man Luo Chadly Daniel Stern Mengnan Du Lu Cheng 20 1 0 10 Oct 2024
Evaluating Linguistic Capabilities of Multimodal LLMs in the Lens of Few-Shot Learning Mustafa Dogan .Ilker Kesen Iacer Calixto Aykut Erdem Erkut Erdem LRM 21 1 0 17 Jul 2024
VRSD: Rethinking Similarity and Diversity for Retrieval in Large Language Models Hang Gao Yongfeng Zhang 41 2 0 05 Jul 2024
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task Wenhan Liu Yutao Zhu Zhicheng Dou ALM RALM 34 9 0 24 Jun 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment Heyan Huang Yinghao Li Huashan Sun Yu Bai Yang Gao 33 3 0 17 Jun 2024
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory Zhou Yang Zhou Yang Chenglong Ye Yufeng Wang Haizhou Sun Chao Chen Xiaofei Zhu Yunbing Wu Xiangwen Liao 47 0 0 04 Jun 2024
Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis Guangmin Zheng Jin Wang Liang-Chih Yu Xuejie Zhang 24 2 0 28 May 2024
On the Noise Robustness of In-Context Learning for Text Generation Hongfu Gao Feipeng Zhang Wenyu Jiang Jun Shu Feng Zheng Hongxin Wei 48 1 0 27 May 2024
Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions Man Luo Christopher J. Warren Lu Cheng Haidar M Abdul-Muhsin Imon Banerjee LM&MA AI4MH 29 9 0 26 May 2024
Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models Simon Chi Lok Yu Jie He Pasquale Minervini Jeff Z. Pan 21 0 0 24 May 2024
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness Mingchen Li Zaifu Zhan Han Yang Yongkang Xiao Jiatan Huang Rui Zhang 30 6 0 13 May 2024
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples Peiqin Lin André F. T. Martins Hinrich Schütze RALM 42 2 0 08 May 2024
Memory Sharing for Large Language Model based Agents Hang Gao Yongfeng Zhang LLMAG 36 7 0 15 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 34 1 0 01 Apr 2024
One size doesn't fit all: Predicting the Number of Examples for In-Context Learning Manish Chandra Debasis Ganguly Yiwen Li 29 0 0 11 Mar 2024
In-Context Learning Demonstration Selection via Influence Analysis Vinay M.S. Minh-Hao Van Xintao Wu 29 3 0 19 Feb 2024
Revisiting Demonstration Selection Strategies in In-Context Learning Keqin Peng Liang Ding Yancheng Yuan Xuebo Liu Min Zhang Y. Ouyang Dacheng Tao 19 20 0 22 Jan 2024
In-context Learning with Retrieved Demonstrations for Language Models: A Survey an Luo Xin Xu Yue Liu Panupong Pasupat Mehran Kazemi RALM 24 54 0 21 Jan 2024
A Survey of Reasoning with Foundation Models Jiankai Sun Chuanyang Zheng E. Xie Zhengying Liu Ruihang Chu ... Xipeng Qiu Yi-Chen Guo Hui Xiong Qun Liu Zhenguo Li ReLM LRM AI4CE 19 74 0 17 Dec 2023
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration Meihao Fan Xiaoyue Han Ju Fan Chengliang Chai Nan Tang Guoliang Li Xiaoyong Du 24 5 0 07 Dec 2023
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification Yaxin Zhu Hamed Zamani 33 3 0 16 Nov 2023
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning Kazuma Hashimoto K. Raman Michael Bendersky 32 2 0 16 Nov 2023
Improving Input-label Mapping with Demonstration Replay for In-context Learning Zhuocheng Gong Jiahao Liu Qifan Wang Jingang Wang Xunliang Cai Dongyan Zhao Rui Yan 16 1 0 30 Oct 2023
Large Language Model-Aware In-Context Learning for Code Generation Jia Li Ge Li Chongyang Tao Jia Li Huangzhao Zhang Fang Liu Zhi Jin 41 24 0 15 Oct 2023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models Man Luo Shrinidhi Kumbhar Ming shen Mihir Parmar Neeraj Varshney Pratyay Banerjee Somak Aditya Chitta Baral ReLM ELM LRM 37 23 0 02 Oct 2023
SurrealDriver: Designing Generative Driver Agent Simulation Framework in Urban Contexts based on Large Language Model Ye Jin Xiaoxi Shen Huiling Peng Xiaoan Liu Jingli Qin Jiayang Li Jintao Xie Peizhong Gao Guyue Zhou Jiangtao Gong LLMAG 23 8 0 22 Sep 2023
Ambiguity-Aware In-Context Learning with Large Language Models Lingyu Gao Aditi Chaudhary Krishna Srinivasan Kazuma Hashimoto K. Raman Michael Bendersky 13 7 0 14 Sep 2023
Incremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models Leonard Barmann Rainer Kartmann Fabian Peller-Konrad Jan Niehues Alexander H. Waibel Tamim Asfour LM&Ro 18 24 0 08 Sep 2023
TaskLAMA: Probing the Complex Task Understanding of Language Models Quan Yuan Mehran Kazemi Xinyuan Xu Isaac Noble Vaiva Imbrasaite Deepak Ramachandran LRM 15 9 0 29 Aug 2023
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation Srija Macherla Man Luo Mihir Parmar Chitta Baral 27 4 0 16 Aug 2023
Learning to Retrieve In-Context Examples for Large Language Models Liang Wang Nan Yang Furu Wei RALM 22 38 0 14 Jul 2023
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 197 160 0 05 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 152 298 0 03 Oct 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango Aman Madaan Amir Yazdanbakhsh LRM 130 115 0 16 Sep 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
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