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2110.15943
Cited By
MetaICL: Learning to Learn In Context
29 October 2021
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
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Papers citing
"MetaICL: Learning to Learn In Context"
50 / 359 papers shown
Title
Compressed Context Memory For Online Language Model Interaction
Jang-Hyun Kim
Junyoung Yeom
Sangdoo Yun
Hyun Oh Song
KELM
39
14
1
06 Dec 2023
Towards More Unified In-context Visual Understanding
Dianmo Sheng
Dongdong Chen
Zhentao Tan
Qiankun Liu
Qi Chu
Jianmin Bao
Tao Gong
Bin Liu
Shengwei Xu
Nenghai Yu
MLLM
VLM
24
10
0
05 Dec 2023
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
Renze Lou
Kai Zhang
Jian Xie
Yuxuan Sun
Janice Ahn
Hanzi Xu
Yu Su
Wenpeng Yin
29
26
0
05 Dec 2023
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts
Tianqi Chen
Yongfei Liu
Zhendong Wang
Jianbo Yuan
Quanzeng You
Hongxia Yang
Mingyuan Zhou
VLM
30
5
0
03 Dec 2023
Dolphins: Multimodal Language Model for Driving
Yingzi Ma
Yulong Cao
Jiachen Sun
Marco Pavone
Chaowei Xiao
MLLM
28
49
0
01 Dec 2023
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning
Chaoyi Zhang
K. Lin
Zhengyuan Yang
Jianfeng Wang
Linjie Li
Chung-Ching Lin
Zicheng Liu
Lijuan Wang
VGen
18
28
0
29 Nov 2023
Surpassing GPT-4 Medical Coding with a Two-Stage Approach
Zhichao Yang
S. S. Batra
Joel Stremmel
Eran Halperin
ELM
24
5
0
22 Nov 2023
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering
Inderjeet Nair
Shwetha Somasundaram
Apoorv Saxena
Koustava Goswami
RALM
29
8
0
22 Nov 2023
Visual Analytics for Generative Transformer Models
Raymond Li
Ruixin Yang
Wen Xiao
Ahmed AbuRaed
Gabriel Murray
Giuseppe Carenini
27
1
0
21 Nov 2023
How Far Can We Extract Diverse Perspectives from Large Language Models?
Shirley Anugrah Hayati
Minhwa Lee
Dheeraj Rajagopal
Dongyeop Kang
38
10
0
16 Nov 2023
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
E. Razumovskaia
Goran Glavas
Anna Korhonen
Ivan Vulić
LRM
24
2
0
16 Nov 2023
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax
Aaron Mueller
Albert Webson
Jackson Petty
Tal Linzen
ReLM
LRM
29
13
0
13 Nov 2023
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models
Matteo Zecchin
Kai Yu
Osvaldo Simeone
15
10
0
10 Nov 2023
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset
Haoyi Wu
Wenyang Hui
Yezeng Chen
Weiqi Wu
Kewei Tu
Yi Zhou
LRM
43
3
0
09 Nov 2023
Instruct Me More! Random Prompting for Visual In-Context Learning
Jiahao Zhang
Bowen Wang
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
25
15
0
07 Nov 2023
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Vishnu Teja Kunde
Vicram Rajagopalan
Chandra Shekhara Kaushik Valmeekam
Krishna R. Narayanan
S. Shakkottai
D. Kalathil
J. Chamberland
35
4
0
01 Nov 2023
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection
Costas Mavromatis
Balasubramaniam Srinivasan
Zhengyuan Shen
Jiani Zhang
Huzefa Rangwala
Christos Faloutsos
George Karypis
19
21
0
30 Oct 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Tung Nguyen
Sudhanshu Agrawal
Aditya Grover
19
14
0
30 Oct 2023
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
Devleena Das
Vivek Khetan
21
0
0
25 Oct 2023
Large Language Models are Visual Reasoning Coordinators
Liangyu Chen
Bo Li
Sheng Shen
Jingkang Yang
Chunyuan Li
Kurt Keutzer
Trevor Darrell
Ziwei Liu
VLM
LRM
41
48
0
23 Oct 2023
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
Dimosthenis Antypas
Asahi Ushio
Francesco Barbieri
Leonardo Neves
Kiamehr Rezaee
Luis Espinosa-Anke
Jiaxin Pei
Jose Camacho-Collados
27
9
0
23 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
Pierre Colombo
Victor Pellegrain
Malik Boudiaf
Victor Storchan
Myriam Tami
Ismail Ben Ayed
C´eline Hudelot
Pablo Piantanida
30
8
0
21 Oct 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Zhaoyang Wang
Shaohan Huang
Yuxuan Liu
Jiahai Wang
Minghui Song
...
Haizhen Huang
Furu Wei
Weiwei Deng
Feng Sun
Qi Zhang
LRM
27
11
0
20 Oct 2023
Enhancing Zero-Shot Crypto Sentiment with Fine-tuned Language Model and Prompt Engineering
Rahman S. M. Wahidur
Ishmam Tashdeed
Manjit Kaur
Heung-No Lee
ALM
25
17
0
20 Oct 2023
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks
Ming-Hao Hsu
Kai-Wei Chang
Shang-Wen Li
Hung-yi Lee
26
7
0
19 Oct 2023
In-context Pretraining: Language Modeling Beyond Document Boundaries
Weijia Shi
Sewon Min
Maria Lomeli
Chunting Zhou
Margaret Li
...
Victoria Lin
Noah A. Smith
Luke Zettlemoyer
Scott Yih
Mike Lewis
LRM
RALM
SyDa
27
48
0
16 Oct 2023
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Tianyu Guo
Wei Hu
Song Mei
Huan Wang
Caiming Xiong
Silvio Savarese
Yu Bai
19
47
0
16 Oct 2023
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
Anirudh Som
Karan Sikka
Helen Gent
Ajay Divakaran
A. Kathol
D. Vergyri
16
4
0
16 Oct 2023
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
Fanghua Ye
Meng Fang
Shenghui Li
Emine Yilmaz
KELM
46
44
0
15 Oct 2023
Penetrative AI: Making LLMs Comprehend the Physical World
Huatao Xu
Liying Han
Qirui Yang
Mo Li
Mani Srivastava
12
54
0
14 Oct 2023
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
Fanqi Wan
Xinting Huang
Tao Yang
Xiaojun Quan
Wei Bi
Shuming Shi
ALM
27
18
0
13 Oct 2023
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty
J. Leskovec
Sebastian Thrun
34
5
0
13 Oct 2023
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang
Qianhui Wu
Xufang Luo
Dongsheng Li
Chin-Yew Lin
Yuqing Yang
Lili Qiu
RALM
104
182
0
10 Oct 2023
Lightweight In-Context Tuning for Multimodal Unified Models
Yixin Chen
Shuai Zhang
Boran Han
Jiaya Jia
24
2
0
08 Oct 2023
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction
Junfeng Gao
Huan Zhao
Yice Zhang
Wei Wang
Changlong Yu
Ruifeng Xu
11
12
0
08 Oct 2023
Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy
Zhengwu Zhang
Chen Zheng
Da Tang
Ke Sun
Yukun Ma
Yingtong Bu
Xun Zhou
Liang Zhao
ALM
37
31
0
07 Oct 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Yuntong Hu
Zhengwu Zhang
Liang Zhao
GNN
26
23
0
07 Oct 2023
Large Language Models for Spatial Trajectory Patterns Mining
Zhengwu Zhang
Hossein Amiri
Zhenke Liu
Andreas Züfle
Liang Zhao
14
18
0
07 Oct 2023
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
Yongrui Chen
Shenyu Zhang
Guilin Qi
Xinnan Guo
CLL
13
7
0
07 Oct 2023
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
S. Bhattamishra
Arkil Patel
Phil Blunsom
Varun Kanade
19
41
0
04 Oct 2023
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
Tianci Xue
Ziqi Wang
Yixia Li
Yun-Nung Chen
Guanhua Chen
18
2
0
02 Oct 2023
Self-Supervised Open-Ended Classification with Small Visual Language Models
Mohammad Mahdi Derakhshani
Ivona Najdenkoska
Cees G. M. Snoek
M. Worring
Yuki M. Asano
VLM
22
0
0
30 Sep 2023
Self-Specialization: Uncovering Latent Expertise within Large Language Models
Junmo Kang
Hongyin Luo
Yada Zhu
Jacob A. Hansen
James R. Glass
David D. Cox
Alan Ritter
Rogerio Feris
Leonid Karlinsky
ALM
MoMe
17
4
0
29 Sep 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
Cheng Chen
Yuchen Hu
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Pin-Yu Chen
E. Chng
24
42
0
27 Sep 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
J. Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
KELM
26
4
0
26 Sep 2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
L. Yu
Weisen Jiang
Han Shi
Jincheng Yu
Zhengying Liu
Yu Zhang
James T. Kwok
Zheng Li
Adrian Weller
Weiyang Liu
OSLM
LRM
39
327
0
21 Sep 2023
Design of Chain-of-Thought in Math Problem Solving
Zhanming Jie
Trung Quoc Luong
Xinbo Zhang
Xiaoran Jin
Hang Li
LRM
49
11
0
20 Sep 2023
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
Juntao Li
Zecheng Tang
Yuyang Ding
Pinzheng Wang
Pei Guo
...
Wenliang Chen
Guohong Fu
Qiaoming Zhu
Guodong Zhou
M. Zhang
40
5
0
19 Sep 2023
Understanding Catastrophic Forgetting in Language Models via Implicit Inference
Suhas Kotha
Jacob Mitchell Springer
Aditi Raghunathan
CLL
28
58
0
18 Sep 2023
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Haozhe Zhao
Zefan Cai
Shuzheng Si
Xiaojian Ma
Kaikai An
Liang Chen
Zixuan Liu
Sheng Wang
Wenjuan Han
Baobao Chang
MLLM
VLM
24
133
0
14 Sep 2023
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