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This work proposes a challenging yet more realistic setting for zero-shot cross-task generalization: zero-shot instruction following, presuming the existence of a paragraph-style task definition while no demonstrations exist.
Language Models are Few-shot Learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Fatima T. AL-Khawaldeh. 2019 · 1907
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RoBERTa: A Robustly Optimized Bert Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Contributions of transformer attention heads in multi-and cross-lingual tasks
Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang, and Soroush Vosoughi. 2021b · 1966
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Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Policy Gradient Methods for Reinforcement Learning with Function Approximation
Richard S Sutton, David McAllester, Satinder Singh, and Yishay Mansour. 1999 · 1999
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Rouge: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin. 2004 · 2004
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Adam: A Method for Stochastic Optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Pointer Networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015 · 2015
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The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J Maddison, Andriy Mnih, and Yee Whye Teh. 2016 · 2016
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Get To The Point: Summarization with Pointer-Generator Networks
Abigail See, Peter J Liu, and Christopher D Manning. 2017 · 2017
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Attention is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2017 · 2017
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Language Models are Unsupervised Multitask Learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Ranked List Loss for Deep Metric Learning
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, and Neil M Robertson. 2019 · 2019
Cited alongside, same era.
Exploring the Limits of Transfer Learning with a Unified Text-To-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J Liu, et al. 2020 · 2020
Cited alongside, same era.
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, and Xia Hu. 2021 · 2021
Cited alongside, same era.
Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations
Jun Gao, Yuhan Liu, Haolin Deng, Wei Wang, Yu Cao, Jiachen Du, and Ruifeng Xu. 2021 · 2021
Cited alongside, same era.
Gradts: A gradient-based automatic auxiliary task selection method based on transformer networks
Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, and Soroush Vosoughi. 2021a · 2021
Cited alongside, same era.
MetaICL: Learning to Learn In Context
Sewon Min, Mike Lewis, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2022b · 2022
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Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral, and Hannaneh Hajishirzi. 2022 · 2022
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Improving English-Arabic transliteration with phonemic memories
Yuanhe Tian, Renze Lou, Xiangyu Pang, Lianxi Wang, Shengyi Jiang, and Yan Song. 2022 · 2022
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Super-NaturalInstructions: Generalization via declarative instructions on 1600+ NLP tasks
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, and Xudong Shen. 2022b · 2022
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Do Prompt-based Models Really Understand the Meaning of Their Prompts?
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Recognizing emotion cause in conversations
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, et al. 2021 · 2021
Cited alongside, same era.
Learning to Retrieve Prompts for In-context Learning
Ohad Rubin, Jonathan Herzig, and Jonathan Berant. 2021 · 2021
Cited alongside, same era.
Few-shot Text Generation with Natural Language Instructions
Timo Schick and Hinrich Schütze. 2021 · 2021
Cited alongside, same era.
More: A Metric Learning Based Framework for Open-Domain Relation Extraction
Yutong Wang, Renze Lou, Kai Zhang, Mao Yan Chen, and Yujiu Yang. 2021 · 2021
Cited alongside, same era.
Calibrate Before Use: Improving Few-shot Performance of Language Models
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh. 2021 · 2021
Cited alongside, same era.
Knowprompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen. 2022 · 2022
Cited alongside, same era.
In-context Learning for Few-shot Dialogue State Tracking
Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A Smith, and Mari Ostendorf. 2022 · 2022
Cited alongside, same era.
Albert Webson and Ellie Pavlick. 2022 · 2022
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ConTinTin: Continual Learning from Task Instructions
Wenpeng Yin, Jia Li, and Caiming Xiong. 2022 · 2022
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
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Page: A position-aware graph-based model for emotion cause entailment in conversation
Xiaojie Gu, Renze Lou, Lin Sun, and Shangxin Li. 2023b · 2023
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Is prompt all you need? no. a comprehensive and broader view of instruction learning
Renze Lou, Kai Zhang, and Wenpeng Yin. 2023 · 2023
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Gpt-4 technical report
OpenAI. 2023 · 2023
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Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, and Yu Su. 2023 · 2023
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Magicbrush: A manually annotated dataset for instruction-guided image editing
Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, and Yu Su. 2023 · 2023
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MUFFIN: Curating multi-faceted instructions for improving instruction following
Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, Hanzi Xu, Yu su, and Wenpeng Yin. 2024 · 2024
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Umie: Unified multimodal information extraction with instruction tuning
Lin Sun, Kai Zhang, Qingyuan Li, and Renze Lou. 2024 · 2024
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Travelplanner: Toward real-world planning with language agents
Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, and Yu Su. 2024 · 2024
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