MetaICL: Learning to Learn In Context

29 October 2021

Luke Zettlemoyer

Papers citing "MetaICL: Learning to Learn In Context"

50 / 359 papers shown

Title
In-Context Learning Improves Compositional Understanding of Vision-Language Models Matteo Nulli Anesa Ibrahimi Avik Pal Hoshe Lee Ivona Najdenkoska VLM CoGe 35 0 0 22 Jul 2024
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation Jian Qian Miao Sun Sifan Zhou Ziyu Zhao Ruizhi Hun Patrick Chiang 41 1 0 08 Jul 2024
AI Safety in Generative AI Large Language Models: A Survey Jaymari Chua Yun Yvonna Li Shiyi Yang Chen Wang Lina Yao LM&MA 34 12 0 06 Jul 2024
Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations Hao Yang Hongyuan Lu Xinhua Zeng Yang Liu Xiang Zhang Haoran Yang Yumeng Zhang Shan Huang Yiran Wei Wai Lam 37 2 0 04 Jul 2024
Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions Xiang Li Haoran Tang Siyu Chen Ziwei Wang Ryan Chen Marcin Abram LRM 29 1 0 02 Jul 2024
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application Chuanpeng Yang Wang Lu Yao Zhu Yidong Wang Qian Chen Chenlong Gao Bingjie Yan Yiqiang Chen ALM KELM 44 22 0 02 Jul 2024
Enhancing In-Context Learning via Implicit Demonstration Augmentation Xiaoling Zhou Wei Ye Yidong Wang Chaoya Jiang Zhemg Lee Rui Xie Shikun Zhang 25 3 0 27 Jun 2024
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph Zhehao Zhang Jiaao Chen Diyi Yang LRM 35 7 0 25 Jun 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning Hakaze Cho Yoshihiro Sakai Mariko Kato Kenshiro Tanaka Akira Ishii Naoya Inoue 46 2 0 24 Jun 2024
ICLEval: Evaluating In-Context Learning Ability of Large Language Models Wentong Chen Yankai Lin ZhenHao Zhou HongYun Huang Yantao Jia Zhao Cao Ji-Rong Wen ELM 29 3 0 21 Jun 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners Daixuan Cheng Yuxian Gu Shaohan Huang Junyu Bi Minlie Huang Furu Wei SyDa 57 20 0 20 Jun 2024
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots Weixing Wang Haojin Yang Christoph Meinel 32 0 0 20 Jun 2024
Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia Ankit Aich Avery Quynh Pamela Osseyi Amy Pinkham Philip Harvey Brenda L. Curtis Colin A. Depp Natalie Parde AI4MH 11 2 0 18 Jun 2024
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 39 1 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 Rameswar Panda Rogerio Feris Alan Ritter MoMe MoE 34 8 0 17 Jun 2024
Probing the Decision Boundaries of In-context Learning in Large Language Models Siyan Zhao Tung Nguyen Aditya Grover 34 6 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 R. Joty 34 2 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 40 0 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 38 6 0 03 Jun 2024
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective Fabian Falck Ziyu Wang Chris Holmes 58 12 0 02 Jun 2024
Why Larger Language Models Do In-context Learning Differently? Zhenmei Shi Junyi Wei Zhuoyan Xu Yingyu Liang 37 18 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 Hongxin Wei 53 3 0 27 May 2024
Benchmarking General-Purpose In-Context Learning Fan Wang Chuan Lin Yang Cao Yu Kang 30 1 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 35 10 0 27 May 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 54 0 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 29 4 0 24 May 2024
Instruction Tuning With Loss Over Instructions Zhengyan Shi Adam X. Yang Bin Wu Laurence Aitchison Emine Yilmaz Aldo Lipani ALM 24 20 0 23 May 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning Sanchit Sinha Yuguang Yue Victor Soto Mayank Kulkarni Jianhua Lu Aidong Zhang LRM 34 4 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 30 3 0 18 May 2024
Feature-Adaptive and Data-Scalable In-Context Learning Jiahao Li Quan Wang L. Zhang Guoqing Jin Zhendong Mao 65 2 0 17 May 2024
Contextual Emotion Recognition using Large Vision Language Models Yasaman Etesam Özge Nilay Yalçin Chuxuan Zhang Angelica Lim VLM 71 3 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 35 9 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 49 15 0 06 May 2024
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning Hyeong Kyu Choi Yixuan Li 62 17 0 03 May 2024
MetaRM: Shifted Distributions Alignment via Meta-Learning Shihan Dou Yan Liu Enyu Zhou Tianlong Li Haoxiang Jia ... Junjie Ye Rui Zheng Tao Gui Qi Zhang Xuanjing Huang OOD 44 2 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 91 65 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 39 4 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 33 7 0 27 Apr 2024
Empowering Large Language Models for Textual Data Augmentation Yichuan Li Kaize Ding Jianling Wang Kyumin Lee 21 10 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 30 22 0 23 Apr 2024
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning Yijiang Liu Rongyu Zhang Huanrui Yang Kurt Keutzer Yuan Du Li Du Shanghang Zhang MoE 36 6 0 13 Apr 2024
Discourse-Aware In-Context Learning for Temporal Expression Normalization Akash Kumar Gautam Lukas Lange Jannik Strötgen 26 0 0 11 Apr 2024
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing Alec Helbling Seongmin Lee Polo Chau DiffM 19 1 0 05 Apr 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes Harmon Bhasin Timothy Ossowski Yiqiao Zhong Junjie Hu 22 0 0 04 Apr 2024
ALOHa: A New Measure for Hallucination in Captioning Models Suzanne Petryk David M. Chan Anish Kachinthaya Haodi Zou John F. Canny Joseph E. Gonzalez Trevor Darrell HILM 29 11 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 Liang Zhao Yang Liu 21 5 0 01 Apr 2024
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems Amin Abolghasemi Z. Ren Arian Askari Mohammad Aliannejadi Maarten de Rijke Suzan Verberne 38 2 0 27 Mar 2024
Few-Shot Recalibration of Language Models Xiang Lisa Li Urvashi Khandelwal Kelvin Guu 39 5 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 29 5 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 110 14 0 19 Mar 2024