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Symbol tuning improves in-context learning in language models

Symbol tuning improves in-context learning in language models

15 May 2023
Jerry W. Wei
Le Hou
Andrew Kyle Lampinen
Xiangning Chen
Da Huang
Yi Tay
Xinyun Chen
Yifeng Lu
Denny Zhou
Tengyu Ma
Quoc V. Le
    LRM
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Papers citing "Symbol tuning improves in-context learning in language models"

20 / 20 papers shown
Title
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
C. L. P. Chen
Anirudh Dagar
Wenming Ye
LRM
64
38
0
31 Dec 2024
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Ameen Ali
Lior Wolf
Ivan Titov
27
2
0
02 Oct 2024
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
Yuqi Jiang
Xudong Lu
Qian Jin
Qi Sun
Hanming Wu
Cheng Zhuo
34
3
0
15 Jul 2024
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
Yongjian Tang
Rakebul Hasan
Thomas Runkler
61
2
0
10 Jul 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning
Token-based Decision Criteria Are Suboptimal in In-context Learning
Hakaze Cho
Yoshihiro Sakai
Mariko Kato
Kenshiro Tanaka
Akira Ishii
Naoya Inoue
38
2
0
24 Jun 2024
Augmented Risk Prediction for the Onset of Alzheimer's Disease from
  Electronic Health Records with Large Language Models
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
Jiankun Wang
Sumyeong Ahn
Taykhoom Dalal
Xiaodan Zhang
Weishen Pan
Qiannan Zhang
Bin Chen
H. H. Dodge
Fei-Yue Wang
Jiayu Zhou
LM&MA
22
2
0
26 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
64
38
0
23 May 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context
  Learning
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning
Yufeng Zhao
Yoshihiro Sakai
Naoya Inoue
18
3
0
08 Feb 2024
ICL Markup: Structuring In-Context Learning using Soft-Token Tags
ICL Markup: Structuring In-Context Learning using Soft-Token Tags
Marc-Etienne Brunet
Ashton Anderson
R. Zemel
19
4
0
12 Dec 2023
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large
  Language Models in Tabular Classifications
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
Yanchen Liu
Srishti Gautam
Jiaqi Ma
Himabindu Lakkaraju
LMTD
24
10
0
23 Oct 2023
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
Chang Gao
Wenxuan Zhang
Guizhen Chen
Wai Lam
47
5
0
04 Oct 2023
FLM-101B: An Open LLM and How to Train It with $100K Budget
FLM-101B: An Open LLM and How to Train It with 100KBudget100K Budget100KBudget
Xiang Li
Yiqun Yao
Xin Jiang
Xuezhi Fang
Xuying Meng
...
LI DU
Bowen Qin
Zheng-Wei Zhang
Aixin Sun
Yequan Wang
50
21
0
07 Sep 2023
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
139
115
0
16 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
RAFT: A Real-World Few-Shot Text Classification Benchmark
RAFT: A Real-World Few-Shot Text Classification Benchmark
Neel Alex
Eli Lifland
Lewis Tunstall
A. Thakur
Pegah Maham
...
Carolyn Ashurst
Paul Sedille
A. Carlier
M. Noetel
Andreas Stuhlmuller
RALM
171
56
0
28 Sep 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
209
179
0
18 Apr 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
634
0
19 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
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