MetaICL: Learning to Learn In Context

29 October 2021

Luke Zettlemoyer

Papers citing "MetaICL: Learning to Learn In Context"

50 / 358 papers shown

Title
Incomplete In-context Learning Wenqiang Wang Yangshijie Zhang 34 0 0 12 May 2025
Rethinking Invariance in In-context Learning Lizhe Fang Yifei Wang Khashayar Gatmiry Lei Fang Y. Wang 51 2 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 H. Wang Qingyun Wu 36 0 0 06 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning Rui Lv Z. Zhang Kai Zhang Qi Liu Weibo Gao J. H. Liu Jiaxia Yan Linan Yue Fangzhou Yao 125 0 0 04 May 2025
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 41 0 0 02 May 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning Jiahao Zhang Bowen Wang Hong Liu Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 101 0 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 87 0 0 23 Apr 2025
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning Zhe Huang Simone Rossi Rui Yuan T. Hannagan 32 0 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 51 0 0 20 Apr 2025
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning Zheng Wang Shu Xian Teo Jun Jie Chew Wei Shi RALM AIFin 61 0 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 33 0 0 14 Apr 2025
Enhancing Contrastive Demonstration Selection with Semantic Diversity for Robust In-Context Machine Translation Owen Patterson Chee Ng 29 0 0 12 Apr 2025
Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment Prediction Xi Chen Mao Mao Shuo Li Haotian Shangguan LLMAG AILaw ELM 81 0 0 07 Apr 2025
AccLLM: Accelerating Long-Context LLM Inference Via Algorithm-Hardware Co-Design Yanbiao Liang Huihong Shi Haikuo Shao Zhongfeng Wang 25 0 0 07 Apr 2025
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy Joonhyun Jeong Seyun Bae Yeonsung Jung Jaeryong Hwang Eunho Yang AAML 43 0 0 26 Mar 2025
A Survey on Mathematical Reasoning and Optimization with Large Language Models Ali Forootani OffRL LRM AI4CE 40 0 0 22 Mar 2025
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study Xingxuan Zhang Haoran Wang Jiansheng Li Yuan Xue Shikai Guan Renzhe Xu Hao Zou Han Yu Peng Cui 50 0 0 19 Mar 2025
Sample-aware Adaptive Structured Pruning for Large Language Models Jun Kong Xinge Ma Jin Wang Xuejie Zhang 45 0 0 08 Mar 2025
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents Qiuchen Wang Ruixue Ding Zehui Chen Weiqi Wu Shihang Wang Pengjun Xie Feng Zhao 56 1 0 25 Feb 2025
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization Zixuan Gong Xiaolin Hu Huayi Tang Yong Liu 33 0 0 24 Feb 2025
On the Robustness of Transformers against Context Hijacking for Linear Classification Tianle Li Chenyang Zhang Xingwu Chen Yuan Cao Difan Zou 67 0 0 24 Feb 2025
Unveiling Reasoning Thresholds in Language Models: Scaling, Fine-Tuning, and Interpretability through Attention Maps Yen-Che Hsiao Abhishek Dutta LRM ReLM ELM 54 0 0 24 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector Representations Yufan Zhuang Chandan Singh Liyuan Liu Jingbo Shang Jianfeng Gao 52 3 0 21 Feb 2025
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation Haoyuan Wu Haisheng Zheng Zhuolun He Bei Yu 40 0 0 15 Feb 2025
Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting Dong-Hai Zhu Yu-Jie Xiong Jia-Chen Zhang Xi-Jiong Xie Chun-Ming Xia ReLM LRM 37 0 0 08 Jan 2025
Mathematical Language Models: A Survey W. Liu Hanglei Hu Jie Zhou Yuyang Ding Junsong Li ... Mengliang He Qin Chen Bo Jiang Aimin Zhou Liang He LRM 79 12 0 03 Jan 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers Jiajun Song Zhuoyan Xu Yiqiao Zhong 80 4 0 31 Dec 2024
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang C. L. P. Chen Anirudh Dagar Wenming Ye LRM 68 38 0 31 Dec 2024
Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning Shihao Xu Yiyang Luo Wei Shi LRM ReLM 69 1 0 12 Dec 2024
Evaluating LLMs Capabilities Towards Understanding Social Dynamics Anique Tahir Lu Cheng Manuel Sandoval Yasin N. Silva Deborah L. Hall Huan Liu 67 0 0 20 Nov 2024
Teaching VLMs to Localize Specific Objects from In-context Examples Sivan Doveh Nimrod Shabtay Wei Lin Eli Schwartz Hilde Kuehne ... Leonid Karlinsky James Glass Assaf Arbelle S. Ullman Muhammad Jehanzeb Mirza VLM 96 1 0 20 Nov 2024
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements M. Arda Aydın Efe Mert Çırpar Elvin Abdinli Gözde B. Ünal Y. Sahin VLM 71 0 0 18 Nov 2024
Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models Dongrui Han Mingyu Cui Jiawen Kang Xixin Wu Xunying Liu H. Meng 25 1 0 12 Nov 2024
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass Tong Chen Hao Fang Patrick Xia Xiaodong Liu Benjamin Van Durme Luke Zettlemoyer Jianfeng Gao Hao Cheng KELM 51 2 0 08 Nov 2024
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning Dong Shu Mengnan Du 35 0 0 30 Oct 2024
RARe: Retrieval Augmented Retrieval with In-Context Examples Atula Tejaswi Yoonsang Lee Sujay Sanghavi Eunsol Choi RALM LRM 25 1 0 26 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies L. Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 44 3 0 24 Oct 2024
CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking Chia-Hsuan Lee Hao Cheng Mari Ostendorf LRM 26 0 0 23 Oct 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent Bo Chen Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao-quan Song 86 19 0 15 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 39 0 0 12 Oct 2024
VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis Andrew Hoopes V. Butoi John Guttag Adrian V. Dalca MedIm LM&MA 35 1 0 10 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning Shiguang Wu Yaqing Wang Yatao Bian Quanming Yao CLL 28 0 0 08 Oct 2024
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches Rana Muhammad Shahroz Khan Pingzhi Li Sukwon Yun Zhenyu Wang S. Nirjon Chau-Wai Wong Tianlong Chen KELM 35 2 0 08 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models Muhammad Jehanzeb Mirza Mengjie Zhao Zhuoyuan Mao Sivan Doveh Wei Lin ... Yuki Mitsufuji Horst Possegger Rogerio Feris Leonid Karlinsky James Glass VLM 76 1 0 08 Oct 2024
Task Diversity Shortens the ICL Plateau Jaeyeon Kim Sehyun Kwon Joo Young Choi Jongho Park Jaewoong Cho Jason D. Lee Ernest K. Ryu MoMe 31 2 0 07 Oct 2024
Accelerating Inference of Networks in the Frequency Domain Chenqiu Zhao Guanfang Dong Anup Basu 35 10 0 06 Oct 2024
Meta-Whisper: Speech-Based Meta-ICL for ASR on Low-Resource Languages Ming-Hao Hsu Kuan Po Huang Hung-yi Lee 33 1 0 16 Sep 2024
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs Madhusudan Ghosh Shrimon Mukherjee Asmit Ganguly Partha Basuchowdhuri S. Naskar Debasis Ganguly 29 7 0 15 Sep 2024
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability Zhuoyan Xu Zhenmei Shi Yingyu Liang CoGe LRM 32 27 0 22 Jul 2024
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