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Cross-Task Generalization via Natural Language Crowdsourcing
  Instructions

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

18 April 2021
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Hannaneh Hajishirzi
    LRM
ArXivPDFHTML

Papers citing "Cross-Task Generalization via Natural Language Crowdsourcing Instructions"

50 / 562 papers shown
Title
Ensemble-Instruct: Generating Instruction-Tuning Data with a
  Heterogeneous Mixture of LMs
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Young-Suk Lee
Md Arafat Sultan
Yousef El-Kurdi
Tahira Naseem Asim Munawar
Radu Florian
Salim Roukos
Ramón Fernández Astudillo
SyDa
27
6
0
21 Oct 2023
Tuna: Instruction Tuning using Feedback from Large Language Models
Tuna: Instruction Tuning using Feedback from Large Language Models
Haoran Li
Yiran Liu
Xingxing Zhang
Wei Lu
Furu Wei
ALM
38
3
0
20 Oct 2023
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning
  for Versatile Multimodal Modeling
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling
Yaqing Wang
Jialin Wu
T. Dabral
Jiageng Zhang
Geoff Brown
...
Frederick Liu
Yi Liang
Bo Pang
Michael Bendersky
Radu Soricut
VLM
25
14
0
18 Oct 2023
The Curious Case of Hallucinatory (Un)answerability: Finding Truths in
  the Hidden States of Over-Confident Large Language Models
The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models
Aviv Slobodkin
Omer Goldman
Avi Caciularu
Ido Dagan
Shauli Ravfogel
HILM
LRM
49
24
0
18 Oct 2023
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning
Ming Li
Lichang Chen
Jiuhai Chen
Shwai He
Heng-Chiao Huang
Jiuxiang Gu
Dinesh Manocha
113
23
0
18 Oct 2023
IDEAL: Influence-Driven Selective Annotations Empower In-Context
  Learners in Large Language Models
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Shaokun Zhang
Xiaobo Xia
Zhaoqing Wang
Ling-Hao Chen
Jiale Liu
Qingyun Wu
Tongliang Liu
42
20
0
16 Oct 2023
G-SPEED: General SParse Efficient Editing MoDel
G-SPEED: General SParse Efficient Editing MoDel
Haoke Zhang
Yue Wang
Juntao Li
Xiabing Zhou
Min Zhang
SyDa
KELM
30
1
0
16 Oct 2023
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph
  Generation
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
Kibum Kim
Kanghoon Yoon
Jaeyeong Jeon
Yeonjun In
Jinyoung Moon
Donghyun Kim
Chanyoung Park
31
15
0
16 Oct 2023
Towards Better Evaluation of Instruction-Following: A Case-Study in
  Summarization
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization
Ondrej Skopek
Rahul Aralikatte
Sian Gooding
Victor Carbune
ELM
47
18
0
12 Oct 2023
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
Wei Ping
Ming-Yu Liu
Lawrence C. McAfee
Peng Xu
Bo Li
M. Shoeybi
Bryan Catanzaro
RALM
16
47
0
11 Oct 2023
KwaiYiiMath: Technical Report
KwaiYiiMath: Technical Report
Jia-Yi Fu
Lei Lin
Xiaoyang Gao
Pengli Liu
Zhengzong Chen
...
Zijia Lin
Fuzheng Zhang
Zhongyuan Wang
Di Zhang
Kun Gai
LRM
ReLM
RALM
51
2
0
11 Oct 2023
Rethinking Model Selection and Decoding for Keyphrase Generation with
  Pre-trained Sequence-to-Sequence Models
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models
Di Wu
Wasi Uddin Ahmad
Kai-Wei Chang
49
9
0
10 Oct 2023
Take a Step Back: Evoking Reasoning via Abstraction in Large Language
  Models
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
Huaixiu Steven Zheng
Swaroop Mishra
Xinyun Chen
Heng-Tze Cheng
Ed H. Chi
Quoc V. Le
Denny Zhou
RALM
LRM
33
109
0
09 Oct 2023
FireAct: Toward Language Agent Fine-tuning
FireAct: Toward Language Agent Fine-tuning
Baian Chen
Chang Shu
Ehsan Shareghi
Nigel Collier
Karthik Narasimhan
Shunyu Yao
ALM
LLMAG
107
98
0
09 Oct 2023
Guiding Language Model Math Reasoning with Planning Tokens
Guiding Language Model Math Reasoning with Planning Tokens
Xinyi Wang
Lucas Caccia
O. Ostapenko
Xingdi Yuan
William Yang Wang
Alessandro Sordoni
LRM
43
20
0
09 Oct 2023
Balancing Specialized and General Skills in LLMs: The Impact of Modern
  Tuning and Data Strategy
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
45
31
0
07 Oct 2023
InstructProtein: Aligning Human and Protein Language via Knowledge
  Instruction
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
Zeyuan Wang
Qiang Zhang
Keyan Ding
Ming Qin
Zhuang Xiang
Xiaotong Li
Huajun Chen
33
28
0
05 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
58
5
0
04 Oct 2023
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Chen Dun
Mirian Hipolito Garcia
Guoqing Zheng
Ahmed Hassan Awadallah
Anastasios Kyrillidis
Robert Sim
90
6
0
04 Oct 2023
Large Language Models as Analogical Reasoners
Large Language Models as Analogical Reasoners
Michihiro Yasunaga
Xinyun Chen
Yujia Li
Panupong Pasupat
J. Leskovec
Percy Liang
Ed H. Chi
Denny Zhou
ReLM
LRM
29
79
0
03 Oct 2023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical
  Reasoning Capabilities of Language Models
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
Man Luo
Shrinidhi Kumbhar
Ming shen
Mihir Parmar
Neeraj Varshney
Pratyay Banerjee
Somak Aditya
Chitta Baral
ReLM
ELM
LRM
47
27
0
02 Oct 2023
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities
  of Large Language Models
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Zekun Wang
Zhongyuan Peng
Haoran Que
Jiaheng Liu
Wangchunshu Zhou
...
Wanli Ouyang
Ke Xu
Wenhu Chen
Jie Fu
Junran Peng
LLMAG
47
86
0
01 Oct 2023
Self-Specialization: Uncovering Latent Expertise within Large Language
  Models
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
32
4
0
29 Sep 2023
Intuitive or Dependent? Investigating LLMs' Behavior Style to
  Conflicting Prompts
Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts
Jiahao Ying
Yixin Cao
Kai Xiong
Yidong He
Long Cui
Yongbin Liu
33
7
0
29 Sep 2023
The Trickle-down Impact of Reward (In-)consistency on RLHF
The Trickle-down Impact of Reward (In-)consistency on RLHF
Lingfeng Shen
Sihao Chen
Linfeng Song
Lifeng Jin
Baolin Peng
Haitao Mi
Daniel Khashabi
Dong Yu
42
21
0
28 Sep 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual
  Knowledge for In-Context Learning
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
Rongxiang Weng
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
KELM
34
4
0
26 Sep 2023
Are Human-generated Demonstrations Necessary for In-context Learning?
Are Human-generated Demonstrations Necessary for In-context Learning?
Rui Li
Guoyin Wang
Jiwei Li
LRM
23
12
0
26 Sep 2023
From Text to Source: Results in Detecting Large Language Model-Generated
  Content
From Text to Source: Results in Detecting Large Language Model-Generated Content
Wissam Antoun
Benoît Sagot
Djamé Seddah
DeLMO
33
11
0
23 Sep 2023
UniPCM: Universal Pre-trained Conversation Model with Task-aware
  Automatic Prompt
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt
Yucheng Cai
Wentao Ma
Yuchuan Wu
Shuzheng Si
Yuan Shao
Zhijian Ou
Yongbin Li
43
3
0
20 Sep 2023
Understanding Catastrophic Forgetting in Language Models via Implicit
  Inference
Understanding Catastrophic Forgetting in Language Models via Implicit Inference
Suhas Kotha
Jacob Mitchell Springer
Aditi Raghunathan
CLL
42
61
0
18 Sep 2023
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language
  Models
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Zecheng Tang
Chenfei Wu
Juntao Li
Nan Duan
3DV
28
9
0
18 Sep 2023
Monolingual or Multilingual Instruction Tuning: Which Makes a Better
  Alpaca
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Pinzhen Chen
Shaoxiong Ji
Nikolay Bogoychev
Andrey Kutuzov
Barry Haddow
Kenneth Heafield
46
45
0
16 Sep 2023
InvestLM: A Large Language Model for Investment using Financial Domain
  Instruction Tuning
InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning
Yi Yang
Yixuan Tang
Kar Yan Tam
ALM
AIFin
35
63
0
15 Sep 2023
Statistical Rejection Sampling Improves Preference Optimization
Statistical Rejection Sampling Improves Preference Optimization
Tianqi Liu
Yao-Min Zhao
Rishabh Joshi
Misha Khalman
Mohammad Saleh
Peter J. Liu
Jialu Liu
61
215
0
13 Sep 2023
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded
  Instruction Wrapping
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping
Yongrui Chen
Haiyun Jiang
Xinting Huang
Shuming Shi
Guilin Qi
SyDa
10
11
0
11 Sep 2023
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient
  MoE for Instruction Tuning
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
Ted Zadouri
Ahmet Üstün
Arash Ahmadian
Beyza Ermics
Acyr Locatelli
Sara Hooker
MoE
39
89
0
11 Sep 2023
Can NLP Models Ídentify', 'Distinguish', and 'Justify' Questions that
  Don't have a Definitive Answer?
Can NLP Models Ídentify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer?
Ayushi Agarwal
Nisarg Patel
Neeraj Varshney
Mihir Parmar
Pavan Mallina
Aryan Bhavin Shah
Srihari Sangaraju
Tirth Patel
Nihar Thakkar
Chitta Baral
ELM
31
3
0
08 Sep 2023
Donkii: Can Annotation Error Detection Methods Find Errors in
  Instruction-Tuning Datasets?
Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?
Leon Weber-Genzel
Robert Litschko
Ekaterina Artemova
Barbara Plank
29
2
0
04 Sep 2023
Taken out of context: On measuring situational awareness in LLMs
Taken out of context: On measuring situational awareness in LLMs
Lukas Berglund
Asa Cooper Stickland
Mikita Balesni
Max Kaufmann
Meg Tong
Tomasz Korbak
Daniel Kokotajlo
Owain Evans
LLMAG
LRM
21
62
0
01 Sep 2023
FactLLaMA: Optimizing Instruction-Following Language Models with
  External Knowledge for Automated Fact-Checking
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking
Tsun-hin Cheung
K. Lam
KELM
HILM
LRM
25
26
0
01 Sep 2023
Evaluating the Robustness to Instructions of Large Language Models
Yuansheng Ni
Sichao Jiang
Xinyu Wu
Hui Shen
Yuli Zhou
ALM
30
2
0
28 Aug 2023
SoTaNa: The Open-Source Software Development Assistant
SoTaNa: The Open-Source Software Development Assistant
Ensheng Shi
Fengji Zhang
Yanlin Wang
B. Chen
Lun Du
Hongyu Zhang
Shi Han
Dongmei Zhang
Hongbin Sun
31
12
0
25 Aug 2023
Harnessing the Power of David against Goliath: Exploring Instruction
  Data Generation without Using Closed-Source Models
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models
Yue Wang
Xinrui Wang
Juntao Li
Jinxiong Chang
Qishen Zhang
Zhongyi Liu
Guannan Zhang
Min Zhang
ALM
27
6
0
24 Aug 2023
From Instructions to Intrinsic Human Values -- A Survey of Alignment
  Goals for Big Models
From Instructions to Intrinsic Human Values -- A Survey of Alignment Goals for Big Models
Jing Yao
Xiaoyuan Yi
Xiting Wang
Jindong Wang
Xing Xie
ALM
27
42
0
23 Aug 2023
Instruction Tuning for Large Language Models: A Survey
Instruction Tuning for Large Language Models: A Survey
Shengyu Zhang
Linfeng Dong
Xiaoya Li
Sen Zhang
Xiaofei Sun
...
Jiwei Li
Runyi Hu
Tianwei Zhang
Fei Wu
Guoyin Wang
LM&MA
24
549
0
21 Aug 2023
ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
Cheng Li
Ziang Leng
Chenxi Yan
Junyi Shen
Hao Wang
...
HaoSheng Wang
Linkang Zhan
Yaokai Jia
Pingyu Wu
Haozhen Sun
28
32
0
18 Aug 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
37
33
0
15 Aug 2023
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt
  Generation for Few-shot Learning
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning
Chengzhengxu Li
Xiaoming Liu
Yichen Wang
Duyi Li
Y. Lan
Chao Shen
40
5
0
14 Aug 2023
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task
  Tasks for E-commerce
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce
Yong Li
Shirong Ma
Xiaobin Wang
Shen Huang
Chengyue Jiang
Haitao Zheng
Pengjun Xie
Fei Huang
Yong-jia Jiang
RALM
ALM
LRM
36
50
0
14 Aug 2023
ZYN: Zero-Shot Reward Models with Yes-No Questions for RLAIF
ZYN: Zero-Shot Reward Models with Yes-No Questions for RLAIF
Víctor Gallego
SyDa
51
4
0
11 Aug 2023
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