ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.01975
  4. Cited By
Selective Annotation Makes Language Models Better Few-Shot Learners

Selective Annotation Makes Language Models Better Few-Shot Learners

5 September 2022
Hongjin Su
Jungo Kasai
Chen Henry Wu
Weijia Shi
Tianlu Wang
Jiayi Xin
Rui Zhang
Mari Ostendorf
Luke Zettlemoyer
Noah A. Smith
Tao Yu
ArXivPDFHTML

Papers citing "Selective Annotation Makes Language Models Better Few-Shot Learners"

50 / 58 papers shown
Title
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
Yixin Yang
Qingxiu Dong
Linli Yao
Fangwei Zhu
Zhifang Sui
48
0
0
08 May 2025
Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale
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
41
0
0
06 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
202
0
0
04 May 2025
Unlock the Power of Unlabeled Data in Language Driving Model
Unlock the Power of Unlabeled Data in Language Driving Model
Chaoqun Wang
Jie-jin Yang
Xiaobin Hong
Ruimao Zhang
56
0
0
13 Mar 2025
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
Xuetao Ma
Wenbin Jiang
Hua Huang
LRM
68
1
0
21 Feb 2025
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue
Feiyuan Zhang
D. Zhu
James Ming
Yilun Jin
Di Chai
Liu Yang
Han Tian
Zhaoxin Fan
Kai Chen
106
2
0
20 Feb 2025
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang
Max Glockner
Anderson de Rezende Rocha
Iryna Gurevych
LRM
73
1
0
07 Feb 2025
TAPO: Task-Referenced Adaptation for Prompt Optimization
TAPO: Task-Referenced Adaptation for Prompt Optimization
Wenxin Luo
Wei Wang
Xiaopeng Li
Weibo Zhou
Pengyue Jia
Xiangyu Zhao
52
0
0
12 Jan 2025
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Ziyan Jiang
Rui Meng
Xinyi Yang
Semih Yavuz
Yingbo Zhou
Wenhu Chen
MLLM
VLM
59
20
0
03 Jan 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
70
40
0
31 Dec 2024
ELICIT: LLM Augmentation via External In-Context Capability
ELICIT: LLM Augmentation via External In-Context Capability
Futing Wang
Jianhao Yan
Yue Zhang
Tao Lin
44
0
0
12 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu
Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
30
1
0
03 Oct 2024
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
David Grangier
Simin Fan
Skyler Seto
Pierre Ablin
44
3
0
30 Sep 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDa
RALM
3DV
46
36
0
23 Sep 2024
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations
Lei Shi
Zhimeng Liu
Yi Yang
Weize Wu
Yuyang Zhang
...
Zipeng Liu
Huobin Tan
Hongyi Gao
Yue Zhang
Ge Wang
42
0
0
06 Aug 2024
Leveraging LLMs for Dialogue Quality Measurement
Leveraging LLMs for Dialogue Quality Measurement
Jinghan Jia
A. Komma
Timothy Leffel
Xujun Peng
Ajay Nagesh
Tamer Soliman
Aram Galstyan
Anoop Kumar
42
5
0
25 Jun 2024
Are Large Language Models Moral Hypocrites? A Study Based on Moral
  Foundations
Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations
José Luiz Nunes
G. F. C. F. Almeida
Marcelo de Araújo
Simone D. J. Barbosa
ELM
PILM
44
2
0
17 May 2024
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language
  Models
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Wenqi Fan
Yujuan Ding
Liang-bo Ning
Shijie Wang
Hengyun Li
Dawei Yin
Tat-Seng Chua
Qing Li
RALM
3DV
40
192
0
10 May 2024
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four
  Interactive Vision-Language Domains with Memory-Augmented Language Models
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models
Gabriel H. Sarch
Sahil Somani
Raghav Kapoor
Michael J. Tarr
Katerina Fragkiadaki
LM&Ro
LLMAG
37
3
0
29 Apr 2024
Large Language Model Agent as a Mechanical Designer
Large Language Model Agent as a Mechanical Designer
Yayati Jadhav
A. Farimani
AI4CE
LLMAG
101
9
0
26 Apr 2024
$Se^2$: Sequential Example Selection for In-Context Learning
Se2Se^2Se2: Sequential Example Selection for In-Context Learning
Haoyu Liu
Jianfeng Liu
Shaohan Huang
Yuefeng Zhan
Hao Sun
Weiwei Deng
Furu Wei
Qi Zhang
38
3
0
21 Feb 2024
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Dingzirui Wang
Longxu Dou
Xuanliang Zhang
Qingfu Zhu
Wanxiang Che
39
7
0
16 Feb 2024
In-context Learning with Retrieved Demonstrations for Language Models: A
  Survey
In-context Learning with Retrieved Demonstrations for Language Models: A Survey
an Luo
Xin Xu
Yue Liu
Panupong Pasupat
Mehran Kazemi
RALM
34
55
0
21 Jan 2024
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language
  Models
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
Xu Yang
Yingzhe Peng
Haoxuan Ma
Shuo Xu
Chi Zhang
Yucheng Han
Hanwang Zhang
37
5
0
15 Dec 2023
AlignedCoT: Prompting Large Language Models via Native-Speaking
  Demonstrations
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
Zhicheng YANG
Yinya Huang
Jing Xiong
Liang Feng
Xiaodan Liang
Yiwei Wang
Jing Tang
LRM
31
1
0
22 Nov 2023
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via
  Unsupervised Core-Set Selection
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
Devleena Das
Vivek Khetan
29
1
0
25 Oct 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for
  In-Context Learning
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning
Hongfu Liu
Ye Wang
39
9
0
13 Oct 2023
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
Jonathan Tonglet
Manon Reusens
Philipp Borchert
Bart Baesens
44
5
0
10 Oct 2023
Selective Demonstrations for Cross-domain Text-to-SQL
Selective Demonstrations for Cross-domain Text-to-SQL
Shuaichen Chang
Eric Fosler-Lussier
20
19
0
10 Oct 2023
RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder
  Language Models
RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models
Jie Huang
Ming-Yu Liu
Peng Xu
M. Shoeybi
Kevin Chen-Chuan Chang
Bryan Catanzaro
RALM
35
33
0
15 Aug 2023
Self-ICL: Zero-Shot In-Context Learning with Self-Generated
  Demonstrations
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations
Wei-Lin Chen
Cheng-Kuang Wu
Yun-Nung Chen
Hsin-Hsi Chen
29
28
0
24 May 2023
Coverage-based Example Selection for In-Context Learning
Coverage-based Example Selection for In-Context Learning
Shivanshu Gupta
Matt Gardner
Sameer Singh
36
40
0
24 May 2023
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual
  Transfer
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
Akari Asai
Sneha Kudugunta
Xinyan Velocity Yu
Terra Blevins
Hila Gonen
Machel Reid
Yulia Tsvetkov
Sebastian Ruder
Hannaneh Hajishirzi
49
54
0
24 May 2023
EASE: An Easily-Customized Annotation System Powered by Efficiency
  Enhancement Mechanisms
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms
Naihao Deng
Yikai Liu
Mingye Chen
Winston Wu
Siyang Liu
Yulong Chen
Yue Zhang
Rada Mihalcea
34
0
0
23 May 2023
Better Zero-Shot Reasoning with Self-Adaptive Prompting
Better Zero-Shot Reasoning with Self-Adaptive Prompting
Xingchen Wan
Ruoxi Sun
H. Dai
Sercan Ö. Arik
Tomas Pfister
ReLM
OffRL
LRM
18
48
0
23 May 2023
Do All Languages Cost the Same? Tokenization in the Era of Commercial
  Language Models
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
Orevaoghene Ahia
Sachin Kumar
Hila Gonen
Jungo Kasai
David R. Mortensen
Noah A. Smith
Yulia Tsvetkov
53
82
0
23 May 2023
Small Models are Valuable Plug-ins for Large Language Models
Small Models are Valuable Plug-ins for Large Language Models
Canwen Xu
Yichong Xu
Shuohang Wang
Yang Liu
Chenguang Zhu
Julian McAuley
LLMAG
44
45
0
15 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Xiaonan Li
Xipeng Qiu
ReLM
KELM
LRM
AI4MH
29
32
0
09 May 2023
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Chuanyang Zheng
Zhengying Liu
Enze Xie
Zhenguo Li
Yu Li
LLMAG
ReLM
LRM
41
103
0
19 Apr 2023
Are LLMs All You Need for Task-Oriented Dialogue?
Are LLMs All You Need for Task-Oriented Dialogue?
Vojtvech Hudevcek
Ondrej Dusek
26
57
0
13 Apr 2023
Finding Support Examples for In-Context Learning
Finding Support Examples for In-Context Learning
Xiaonan Li
Xipeng Qiu
27
89
0
27 Feb 2023
Active Prompting with Chain-of-Thought for Large Language Models
Active Prompting with Chain-of-Thought for Large Language Models
Shizhe Diao
Pengcheng Wang
Yong Lin
Tong Zhang
ReLM
KELM
LLMAG
LRM
31
122
0
23 Feb 2023
In-context Example Selection with Influences
In-context Example Selection with Influences
Nguyen Tai
Eric Wong
16
48
0
21 Feb 2023
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
31
15
0
17 Feb 2023
Batch Prompting: Efficient Inference with Large Language Model APIs
Batch Prompting: Efficient Inference with Large Language Model APIs
Zhoujun Cheng
Jungo Kasai
Tao Yu
LRM
19
72
0
19 Jan 2023
Self-Adaptive In-Context Learning: An Information Compression
  Perspective for In-Context Example Selection and Ordering
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Zhiyong Wu
Yaoxiang Wang
Jiacheng Ye
Lingpeng Kong
41
119
0
20 Dec 2022
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su
Weijia Shi
Jungo Kasai
Yizhong Wang
Yushi Hu
Mari Ostendorf
Wen-tau Yih
Noah A. Smith
Luke Zettlemoyer
Tao Yu
27
282
0
19 Dec 2022
Reasoning with Language Model Prompting: A Survey
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao
Yixin Ou
Ningyu Zhang
Xiang Chen
Yunzhi Yao
Shumin Deng
Chuanqi Tan
Fei Huang
Huajun Chen
ReLM
ELM
LRM
71
311
0
19 Dec 2022
Investigating the Failure Modes of the AUC metric and Exploring
  Alternatives for Evaluating Systems in Safety Critical Applications
Investigating the Failure Modes of the AUC metric and Exploring Alternatives for Evaluating Systems in Safety Critical Applications
Swaroop Mishra
Anjana Arunkumar
Chitta Baral
33
0
0
10 Oct 2022
Automatic Chain of Thought Prompting in Large Language Models
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang
Aston Zhang
Mu Li
Alexander J. Smola
ReLM
LRM
67
584
0
07 Oct 2022
12
Next