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MetaICL: Learning to Learn In Context

North American Chapter of the Association for Computational Linguistics (NAACL), 2021

29 October 2021

Luke Zettlemoyer

Papers citing "MetaICL: Learning to Learn In Context"

50 / 388 papers shown

Title
Fairness in Multi-modal Medical Diagnosis with Demonstration Selection Dawei Li Zijian Gu Peng Wang Chuhan Song Zhen Tan Mohan Zhang Tianlong Chen Yu Tian Song Wang 106 1 0 20 Nov 2025
Genomic Next-Token Predictors are In-Context Learners Nathan Breslow Aayush Mishra Mahler Revsine Michael C. Schatz Anqi Liu Daniel Khashabi 199 0 0 16 Nov 2025
Can Language Models Compose Skills In-Context? Zidong Liu Zhuoyan Xu Zhenmei Shi Yingyu Liang ReLM CoGe LRM 259 0 0 27 Oct 2025
A Framework for Quantifying How Pre-Training and Context Benefit In-Context Learning Bingqing Song Jiaxiang Li Rong Wang Songtao Lu Mingyi Hong 112 0 0 26 Oct 2025
Semantic-Preserving Cross-Style Visual Reasoning for Robust Multi-Modal Understanding in Large Vision-Language Models Aya Nakayama Brian Wong Yuji Nishimura Kaito Tanaka VLM 196 0 0 26 Oct 2025
Schema for In-Context Learning Pan Chen Shaohong Chen Mark Wang Shi Xuan Leong Priscilla Fung Varinia Bernales Alán Aspuru-Guzik ReLM 149 0 0 14 Oct 2025
Repairing Regex Vulnerabilities via Localization-Guided Instructions Sicheol Sung Joonghyuk Hahn Yo-Sub Han AAML 72 0 0 10 Oct 2025
In-Context Learning for Non-Stationary MIMO Equalization Jiachen Jiang Zhen Qin Zhihui Zhu 92 0 0 09 Oct 2025
Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios Himanshu Choudhary Arishi Orra Manoj Thakur 96 0 0 08 Oct 2025
PANICL: Mitigating Over-Reliance on Single Prompt in Visual In-Context Learning Jiahao Zhang Bowen Wang Hong Liu Yuta Nakashima Hajime Nagahara MLLM VLM 182 1 0 26 Sep 2025
Towards Generalizable Implicit In-Context Learning with Attention Routing Jiaqian Li Yanshu Li Ligong Han Ruixiang Tang Wenya Wang 124 0 0 26 Sep 2025
Linear Transformers Implicitly Discover Unified Numerical Algorithms Patrick Lutz Aditya Gangrade Hadi Daneshmand Venkatesh Saligrama 88 1 0 24 Sep 2025
KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning Vaibhav Singh Soumya Suvra Ghosal Kapu Nirmal Joshua Soumyabrata Pal Sayak Ray Chowdhury 104 0 0 19 Sep 2025
State-of-the-Art Dysarthric Speech Recognition with MetaICL for on-the-fly Personalization Dhruuv Agarwal Harry Zhang Yang Yu Quan Wang 85 0 0 19 Sep 2025
MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos Rutav Shah Shuijing Liu Qi Wang Zhenyu Jiang Sateesh Kumar Mingyo Seo Roberto Martín-Martín Yuke Zhu 108 5 0 11 Sep 2025
Optimizing In-Context Learning for Efficient Full Conformal PredictionIEEE Signal Processing Letters (IEEE SPL), 2025 Weicao Deng Sangwoo Park Min Li Osvaldo Simeone 225 0 0 01 Sep 2025
Supervised In-Context Fine-Tuning for Generative Sequence Labeling David Dukić Goran Glavaš Jan Šnajder BDL 180 0 0 31 Aug 2025
InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Souradeep Nanda Anay Majee Rishabh K. Iyer 119 0 0 28 Aug 2025
Comp-X: On Defining an Interactive Learned Image Compression Paradigm With Expert-driven LLM Agent Yixin Gao Xin Li Xiaohan Pan Runsen Feng Bingchen Li Y. Qi Y. Lu Zhengxue Cheng Zhibo Chen Jörn Ostermann 120 0 0 21 Aug 2025
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models Liyi Zhang Jake C. Snell Thomas L. Griffiths 96 0 0 19 Aug 2025
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation Yihua Shao Xiaofeng Lin Xinwei Long Siyu Chen Minxi Yan Wenshu Fan Ziyang Yan Ao Ma Hao Tang Jingcai Guo MoMe CLL 142 2 0 06 Aug 2025
To Theoretically Understand Transformer-Based In-Context Learning for Optimizing CSMA Shugang Hao Hongbo Li Lingjie Duan 217 0 0 31 Jul 2025
DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer Ruoyu Wang Junda Wu Yu Xia Tong Yu Ryan Rossi Julian McAuley Lina Yao 189 1 0 31 Jul 2025
Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance Yufei He Ruoyu Li Alex Chen Yue Liu Yulin Chen ... Cheng Chen Yi Zhu Luca Luo Frank Yang Bryan Hooi LLMAG 190 4 0 23 Jul 2025
Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition Qinyuan Ye Robin Jia Xiang Ren LRM ELM 158 1 0 14 Jul 2025
Context Tuning for In-Context Optimization Jack Lu Ryan Teehan Zhenbang Yang Mengye Ren 171 1 0 06 Jul 2025
Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning Chengye Li Haiyun Liu Yuanxi Li 221 0 0 13 Jun 2025
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering Akash Gupta Amos Storkey Mirella Lapata VLM 273 0 0 07 Jun 2025
Learning to Select In-Context Demonstration Preferred by Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Zheng Zhang Shaocheng Lan Lei Song Jiang Bian Yexin Li Kan Ren 203 1 0 26 May 2025
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective Junnan Liu Hongwei Liu Linchen Xiao Shudong Liu Taolin Zhang Zihan Ma Songyang Zhang Kai Chen LRM 307 3 0 26 May 2025
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Gouki Minegishi Hiroki Furuta Shohei Taniguchi Yusuke Iwasawa Yutaka Matsuo 384 7 0 22 May 2025
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex Muquan Yu Mu Nan Hossein Adeli Jacob S. Prince John A. Pyles Leila Wehbe Margaret M. Henderson Michael J. Tarr Andrew F. Luo MedIm ViT 237 0 0 21 May 2025
Mechanistic Fine-tuning for In-context Learning Hakaze Cho Peng Luo Mariko Kato Rin Kaenbyou Naoya Inoue 361 0 0 20 May 2025
Teaching Small Language Models to Learn Logic through Meta-Learning Leonardo Bertolazzi Manuel Vargas Guzmán Raffaella Bernardi Maciej Malicki Jakub Szymanik ReLM LRM 278 0 0 20 May 2025
Spoken Language Understanding on Unseen Tasks With In-Context Learning Neeraj Agrawal Sriram Ganapathy 287 1 0 12 May 2025
Incomplete In-context Learning Wenqiang Wang Yangshijie Zhang 299 0 0 12 May 2025
Rethinking Invariance in In-context LearningInternational Conference on Learning Representations (ICLR), 2025 Lizhe Fang Yifei Wang Khashayar Gatmiry Lei Fang Yun Wang 327 8 0 08 May 2025
Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale Jiale Liu Yifan Zeng Shaokun Zhang Chi Zhang Malte Højmark-Bertelsen Marie Normann Gadeberg Hongru Wang Qingyun Wu 270 3 0 06 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context LearningIEEE International Conference on Data Engineering (ICDE), 2025 Rui Lv Zhenru Zhang Kai Zhang Qi Liu Weibo Gao Jing Liu Jiaxia Yan Linan Yue Fangzhou Yao 908 1 0 04 May 2025
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 211 0 0 02 May 2025
E-InMeMo: Enhanced Prompting for Visual In-Context LearningJournal of Imaging (JI), 2025 Jiahao Zhang Bowen Wang Hong Liu Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 346 1 0 25 Apr 2025
The Rise of Small Language Models in Healthcare: A Comprehensive Survey Muskan Garg Shaina Raza Shebuti Rayana Xingyi Liu Sunghwan Sohn LM&MA AILaw 435 10 0 23 Apr 2025
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learningSymposium on Advances in Approximate Bayesian Inference (AABI), 2025 Zhe Huang Simone Rossi Rui Yuan T. Hannagan 231 2 0 22 Apr 2025
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey Ahsan Bilal Muhammad Ahmed Mohsin Muhammad Umer Muhammad Awais Khan Bangash Muhammad Ali Jamshed LLMAG LRM AI4CE 408 5 0 20 Apr 2025
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task PlanningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Zheng Wang Shu Xian Teo Jun Jie Chew Wei Shi RALM AIFin 361 3 0 17 Apr 2025
Improving In-Context Learning with Reasoning Distillation Nafis Sadeq Xin Xu Zhouhang Xie Julian McAuley Byungkyu Kang Prarit Lamba Xiang Gao RALM ReLM LRM 214 0 0 14 Apr 2025
Enhancing Contrastive Demonstration Selection with Semantic Diversity for Robust In-Context Machine Translation Owen Patterson Chee Ng 200 0 0 12 Apr 2025
AccLLM: Accelerating Long-Context LLM Inference Via Algorithm-Hardware Co-Design Yanbiao Liang Huihong Shi Haikuo Shao Zhongfeng Wang 235 3 0 07 Apr 2025
Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment PredictionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 Xi Chen Mao Mao Shuo Li Haotian Shangguan LLMAG AILaw ELM 239 4 0 07 Apr 2025
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution StrategyComputer Vision and Pattern Recognition (CVPR), 2025 Joonhyun Jeong Seyun Bae Yeonsung Jung Jaeryong Hwang Eunho Yang AAML 340 16 0 26 Mar 2025