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Instruction Induction: From Few Examples to Natural Language Task
  Descriptions

Instruction Induction: From Few Examples to Natural Language Task Descriptions

22 May 2022
Or Honovich
Uri Shaham
Samuel R. Bowman
Omer Levy
    ELM
    LRM
ArXivPDFHTML

Papers citing "Instruction Induction: From Few Examples to Natural Language Task Descriptions"

43 / 43 papers shown
Title
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
Amirmohammad Farzaneh
Osvaldo Simeone
502
0
0
22 Jan 2025
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
LM&MA
222
3
0
24 Sep 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong
Heng Wang
Dan Klein
Jacob Steinhardt
54
8
0
13 Sep 2024
Paraphrase Types Elicit Prompt Engineering Capabilities
Paraphrase Types Elicit Prompt Engineering Capabilities
Jan Philip Wahle
Terry Ruas
Yang Xu
Bela Gipp
83
9
0
28 Jun 2024
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
Niki van Stein
Thomas Bäck
67
17
0
30 May 2024
Beyond the Imitation Game: Quantifying and extrapolating the
  capabilities of language models
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava
Abhinav Rastogi
Abhishek Rao
Abu Awal Md Shoeb
Abubakar Abid
...
Zhuoye Zhao
Zijian Wang
Zijie J. Wang
Zirui Wang
Ziyi Wu
ELM
180
1,748
0
09 Jun 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
471
6,231
0
05 Apr 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLM
LRM
128
486
0
28 Mar 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
516
3,625
0
21 Mar 2022
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large
  Language Models
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
Archiki Prasad
Peter Hase
Xiang Zhou
Joey Tianyi Zhou
95
123
0
14 Mar 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
874
12,916
0
04 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAG
LRM
155
1,481
0
25 Feb 2022
Describing Differences between Text Distributions with Natural Language
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong
Charles Burton Snell
Dan Klein
Jacob Steinhardt
VLM
166
44
0
28 Jan 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
808
9,351
0
28 Jan 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
81
702
0
16 Dec 2021
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Nan Du
Yanping Huang
Andrew M. Dai
Simon Tong
Dmitry Lepikhin
...
Kun Zhang
Quoc V. Le
Yonghui Wu
Zhiwen Chen
Claire Cui
ALM
MoE
212
812
0
13 Dec 2021
Show Your Work: Scratchpads for Intermediate Computation with Language
  Models
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
...
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
ReLM
LRM
175
741
0
30 Nov 2021
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
206
488
0
29 Oct 2021
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
342
1,701
0
15 Oct 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
291
161
0
15 Oct 2021
Reframing Instructional Prompts to GPTk's Language
Reframing Instructional Prompts to GPTk's Language
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Yejin Choi
Hannaneh Hajishirzi
75
217
0
16 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
184
3,743
0
03 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
101
370
0
02 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
200
3,971
0
28 Jul 2021
Cross-Task Generalization via Natural Language Crowdsourcing
  Instructions
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Hannaneh Hajishirzi
LRM
141
746
0
18 Apr 2021
Prompt Programming for Large Language Models: Beyond the Few-Shot
  Paradigm
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds
Kyle McDonell
105
901
0
15 Feb 2021
The Turking Test: Can Language Models Understand Instructions?
The Turking Test: Can Language Models Understand Instructions?
Avia Efrat
Omer Levy
ELM
LRM
112
96
0
22 Oct 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
149
2,731
0
05 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
743
41,932
0
28 May 2020
oLMpics -- On what Language Model Pre-training Captures
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
LRM
98
304
0
31 Dec 2019
Negated and Misprimed Probes for Pretrained Language Models: Birds Can
  Talk, But Cannot Fly
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
Nora Kassner
Hinrich Schütze
68
323
0
08 Nov 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
571
2,664
0
03 Sep 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language
  Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
256
2,312
0
02 May 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
324
5,801
0
21 Apr 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
129
1,237
0
04 Feb 2019
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain
  Semantic Parsing and Text-to-SQL Task
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu
Rui Zhang
Kai-Chou Yang
Michihiro Yasunaga
Dongxu Wang
...
Irene Li
Qingning Yao
Shanelle Roman
Zilin Zhang
Dragomir R. Radev
RALM
92
1,231
0
24 Sep 2018
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive
  Meaning Representations
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
Mohammad Taher Pilehvar
Jose Camacho-Collados
180
488
0
28 Aug 2018
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
230
1,407
0
31 May 2018
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
1.1K
7,154
0
20 Apr 2018
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and
  Cross-lingual Focused Evaluation
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Daniel Cer
Mona T. Diab
Eneko Agirre
I. Lopez-Gazpio
Lucia Specia
428
1,881
0
31 Jul 2017
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference
  with Sentence Representations
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations
Nikita Nangia
Adina Williams
Angeliki Lazaridou
Samuel R. Bowman
AI4TS
49
91
0
25 Jul 2017
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
308
2,859
0
26 Sep 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
280
8,127
0
16 Jun 2016
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