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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
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions Huanxuan Liao Yao Xu Shizhu He Yuanzhe Zhang Yanchao Hao Shengping Liu Kang Liu Jun Zhao 369 3 0 18 Jun 2024
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts Junmo Kang Leonid Karlinsky Hongyin Luo Zhen Wang Jacob A. Hansen James Glass David D. Cox Yikang Shen Rogerio Feris Alan Ritter MoMe MoE 227 19 0 17 Jun 2024
Probing the Decision Boundaries of In-context Learning in Large Language Models Siyan Zhao Tung Nguyen Aditya Grover 372 18 0 17 Jun 2024
XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags Faisal Tareque Shohan Mir Tafseer Nayeem Samsul Islam Abu Ubaida Akash Shafiq Joty 221 6 0 06 Jun 2024
In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs Grzegorz Kaszuba Amirhossein D. Naghdi Dario Massa Stefanos Papanikolaou Andrzej Jaszkiewicz Piotr Sankowski AI4CE OODD 203 1 0 03 Jun 2024
Demonstration Augmentation for Zero-shot In-context Learning Yi Su Yunpeng Tai Yixin Ji Juntao Li Bowen Yan Min Zhang RALM 260 14 0 03 Jun 2024
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective Fabian Falck Ziyu Wang Chris Holmes 386 36 0 02 Jun 2024
Why Larger Language Models Do In-context Learning Differently? Zhenmei Shi Junyi Wei Zhuoyan Xu Yingyu Liang 255 44 0 30 May 2024
On the Noise Robustness of In-Context Learning for Text Generation Hongfu Gao Feipeng Zhang Wenyu Jiang Jun Shu Feng Zheng Jianguo Huang 294 11 0 27 May 2024
Benchmarking General-Purpose In-Context Learning Fan Wang Chuan Lin Yang Cao Yu Kang 492 5 0 27 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 221 31 0 27 May 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 341 3 0 25 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 178 5 0 24 May 2024
Instruction Tuning With Loss Over InstructionsNeural Information Processing Systems (NeurIPS), 2024 Zhengyan Shi Adam X. Yang Bin Wu Laurence Aitchison Emine Yilmaz Aldo Lipani ALM 257 33 0 23 May 2024
Quantifying Emergence in Large Language Models Hang Chen Xinyu Yang Jiaying Zhu Wenya Wang 159 0 0 21 May 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context LearningKnowledge Discovery and Data Mining (KDD), 2024 Sanchit Sinha Yuguang Yue Victor Soto Mayank Kulkarni Jianhua Lu Aidong Zhang LRM 257 12 0 19 May 2024
TriLoRA: Integrating SVD for Advanced Style Personalization in Text-to-Image Generation Chengcheng Feng Mu He Qiuyu Tian Haojie Yin Xiaofang Zhao Hongwei Tang Xingqiang Wei DiffM 211 4 0 18 May 2024
Feature-Adaptive and Data-Scalable In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Jiahao Li Quan Wang Li Zhang Guoqing Jin Zhendong Mao 255 4 0 17 May 2024
Contextual Emotion Recognition using Large Vision Language ModelsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Yasaman Etesam Özge Nilay Yalçin Chuxuan Zhang Angelica Lim VLM 281 9 0 14 May 2024
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning Shuo Yin Weihao You Zhilong Ji Guoqiang Zhong Jinfeng Bai LRM SyDa 218 22 0 13 May 2024
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training Zexuan Zhong Mengzhou Xia Danqi Chen Mike Lewis MoE 208 27 0 06 May 2024
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context LearningInternational Conference on Machine Learning (ICML), 2024 Hyeong Kyu Choi Yixuan Li 281 27 0 03 May 2024
MetaRM: Shifted Distributions Alignment via Meta-Learning Jiajun Sun Yan Liu Enyu Zhou Changze Lv Haoxiang Jia ... Junjie Ye Rui Zheng Tao Gui Tao Gui Xuanjing Huang OOD 420 3 0 01 May 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 574 113 0 30 Apr 2024
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction Guozheng Li Peng Wang Wenjun Ke Yikai Guo Ke Ji Ziyu Shang Jiajun Liu Zijie Xu LRM ReLM 285 11 0 27 Apr 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors Guozheng Li Peng Wang Jiajun Liu Yikai Guo Ke Ji Ziyu Shang Zijie Xu LRM 217 18 0 27 Apr 2024
Empowering Large Language Models for Textual Data Augmentation Yichuan Li Kaize Ding Jianling Wang Kyumin Lee 256 20 0 26 Apr 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models Mihir Parmar Nisarg Patel Neeraj Varshney Mutsumi Nakamura Man Luo Santosh Mashetty Arindam Mitra Chitta Baral LRM ReLM ELM 488 60 0 23 Apr 2024
Discourse-Aware In-Context Learning for Temporal Expression Normalization Akash Kumar Gautam Lukas Lange Jannik Strötgen 159 1 0 11 Apr 2024
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing Alec Helbling Seongmin Lee Polo Chau DiffM 157 1 0 05 Apr 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function ClassesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Harmon Bhasin Timothy Ossowski Yiqiao Zhong Junjie Hu 103 2 0 04 Apr 2024
ALOHa: A New Measure for Hallucination in Captioning ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Suzanne Petryk David M. Chan Anish Kachinthaya Haodi Zou John F. Canny Joseph E. Gonzalez Trevor Darrell HILM 274 28 0 03 Apr 2024
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs Zheng Zhang Fan Yang Ziyan Jiang Zheng Chen Zhengyang Zhao Chengyuan Ma Bo Pan Yang Liu 95 9 0 01 Apr 2024
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems Amin Abolghasemi Zhaochun Ren Arian Askari Mohammad Aliannejadi Maarten de Rijke Suzan Verberne 229 4 0 27 Mar 2024
Few-Shot Recalibration of Language Models Xiang Lisa Li Urvashi Khandelwal Kelvin Guu 229 7 0 27 Mar 2024
Naive Bayes-based Context Extension for Large Language Models Jianlin Su Murtadha Ahmed Wenbo Luo Abhishek Rao Denny Zhou Hyeontaek Lim 194 7 0 26 Mar 2024
Towards Multimodal In-Context Learning for Vision & Language Models Sivan Doveh Shaked Perek M. Jehanzeb Mirza Wei Lin Amit Alfassy Assaf Arbelle S. Ullman Leonid Karlinsky VLM 335 23 0 19 Mar 2024
Characteristic AI Agents via Large Language ModelsInternational Conference on Language Resources and Evaluation (LREC), 2024 Xi Wang Hongliang Dai Shen Gao Piji Li 239 5 0 19 Mar 2024
VL-ICL Bench: The Devil in the Details of Multimodal In-Context LearningInternational Conference on Learning Representations (ICLR), 2024 Yongshuo Zong Ondrej Bohdal Timothy M. Hospedales 292 7 0 19 Mar 2024
Towards Understanding the Relationship between In-context Learning and Compositional GeneralizationInternational Conference on Language Resources and Evaluation (LREC), 2024 Sungjun Han Sebastian Padó CoGe 197 5 0 18 Mar 2024
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMsEuropean Conference on Computer Vision (ECCV), 2024 M. Jehanzeb Mirza Leonid Karlinsky Wei Lin Sivan Doveh Jakub Micorek Mateusz Koziñski Hilde Kuhene Horst Possegger VLM MLLM 280 30 0 18 Mar 2024
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 H. Nghiem Hal Daumé 361 6 0 18 Mar 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated ExpertsInternational Conference on Machine Learning (ICML), 2024 Shengzhuang Chen Jihoon Tack Yunqiao Yang Yee Whye Teh Jonathan Richard Schwarz Ying Wei MoE 463 4 0 13 Mar 2024
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionComputer Vision and Pattern Recognition (CVPR), 2024 Lei Zhu Fangyun Wei Yanye Lu MLLM VLM 202 30 0 12 Mar 2024
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning Yao Liang Yuwei Wang Yang Li Yi Zeng 208 2 0 12 Mar 2024
ERA-CoT: Improving Chain-of-Thought through Entity Relationship AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Yanming Liu Xinyue Peng Tianyu Du Jianwei Yin Weihao Liu Xuhong Zhang LRM 204 31 0 11 Mar 2024
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model Junhui Yin Xinyu Zhang Lin Wu Xianghua Xie Xiaojie Wang VPVLM VLM MLLM 117 3 0 10 Mar 2024
Concept-aware Data Construction Improves In-context Learning of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Michal Štefánik Marek Kadlcík Petr Sojka 250 2 0 08 Mar 2024
"In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning Chuanqi Cheng Quan Tu Wei Wu Shuo Shang Cunli Mao Zhengtao Yu Rui Yan 463 5 0 05 Mar 2024
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet? E. Razumovskaia Ivan Vulić Anna Korhonen 225 13 0 04 Mar 2024