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Recent progress in Large Language Models (LLMs) has produced models that exhibit remarkable performance across a variety of NLP tasks.
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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Codesearchnet challenge: Evaluating the state of semantic code search
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Syntactic analysis and operator precedence
Robert W Floyd. 1963 · 1963
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Planner: A language for proving theorems in robots
Carl Hewitt. 1969 · 1969
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Discourse analysis
Zellig S Harris and Zellig S Harris. 1970 · 1970
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Micro-planner reference manual
Gerald Sussman and Terry Winograd. 1970 · 1970
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Measuring nominal scale agreement among many raters
Joseph L. Fleiss. 1971 · 1971
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An artificial intelligence program to advise physicians regarding antimicrobial therapy
Edward H Shortliffe, Stanton G Axline, Bruce G Buchanan, Thomas C Merigan, and Stanley N Cohen. 1973 · 1973
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Explanation capabilities of production-based consultation systems
A Carlisle Scott, William J Clancey, Randall Davis, and Edward H Shortliffe. 1977 · 1977
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Computer-based support of organizational decision making
Robert H Bonczek, Clyde W Holsapple, and Andrew B Whinston. 1979 · 1979
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A fuzzy k-nearest neighbor algorithm
James M Keller, Michael R Gray, and James A Givens. 1985 · 1985
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Plans for discourse
Barbara J Grosz and Candace L Sidner. 1988 · 1988
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Rhetorical structure theory: Toward a functional theory of text organization
William C Mann and Sandra A Thompson. 1988 · 1988
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MUC-4 evaluation metrics
Nancy Chinchor. 1992 · 1992
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Discourse and text: Linguistic and intertextual analysis within discourse analysis
Norman Fairclough. 1992 · 1992
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Instructional conversations: Promoting comprehension through discussion
Claude Goldenberg. 1992 · 1992
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Extracting culture through textual analysis
Kathleen Carley. 1994 · 1994
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Text and corpus analysis: Computer-assisted studies of language and culture
Michael Stubbs. 1996 · 1996
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An introduction to latent semantic analysis
Thomas K Landauer, Peter W Foltz, and Darrell Laham. 1998 · 1998
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Analysing discourse: Textual analysis for social research
Norman Fairclough. 2003 · 2003
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Accurate unlexicalized parsing
Dan Klein and Christopher D Manning. 2003 · 2003
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Sentiment analysis: Capturing favorability using natural language processing
Tetsuya Nasukawa and Jeonghee Yi. 2003 · 2003
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Practice papers personal financial services in a digital age
Marilyn Radford. 2003 · 2003
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Expert system methodologies and applications—a decade review from 1995 to 2004
Shu-Hsien Liao. 2005 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Automatically constructing a corpus of sentential paraphrases
William B. Dolan and Chris Brockett. 2005 · 2005
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Milp and nlp techniques for centralized trajectory planning of multiple unmanned air vehicles
Francesco Borrelli, Dharmashankar Subramanian, Arvind U Raghunathan, and Lorenz T Biegler. 2006 · 2006
Cited alongside, same era.
Toward legal argument instruction with graph grammars and collaborative filtering techniques
Niels Pinkwart, Vincent Aleven, Kevin Ashley, and Collin Lynch. 2006 · 2006
Cited alongside, same era.
Integrating nlp with reasoning about actions for autonomous agents communicating with humans
Xiaoping Chen, Jiehui Jiang, Jianmin Ji, Guoqiang Jin, and Feng Wang. 2009 · 2009
Cited alongside, same era.
Reactive power dispatch and planning using a non-linear branch-and-bound algorithm
CRN Estevam, MJ Rider, E Amorim, and JRS Mantovani. 2010 · 2010
Cited alongside, same era.
Dialogue graph modeling for conversational machine reading
Siru Ouyang, Zhuosheng Zhang, and Hai Zhao. 2020 · 2012
Cited alongside, same era.
Textual analysis in finance
Tim Loughran and Bill McDonald. 2020 · 2020
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Bertscore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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Paradigm shift in natural language processing
Tian-Xiang Sun, Xiang-Yang Liu, Xi-Peng Qiu, and Xuan-Jing Huang. 2022 · 2022
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New avenues in opinion mining and sentiment analysis
Erik Cambria, Björn Schuller, Yunqing Xia, and Catherine Havasi. 2013 · 2013
Cited alongside, same era.
Efficient estimation of word representations in vector space
Tomás Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Cited alongside, same era.
The CoNLL-2014 shared task on grammatical error correction
Hwee Tou Ng, Siew Mei Wu, Ted Briscoe, Christian Hadiwinoto, Raymond Hendy Susanto, and Christopher Bryant. 2014 · 2014
Cited alongside, same era.
A rule based graphical user interface to relational database using nlp
Abhijeet R Sontakke and Amit Pimpalkar. 2014 · 2014
Cited alongside, same era.
Towards a big data curated benchmark of inter-project code clones
Jeffrey Svajlenko, Judith F. Islam, Iman Keivanloo, Chanchal K. Roy, and Mohammad Mamun Mia. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Natural language processing in accounting, auditing and finance: A synthesis of the literature with a roadmap for future research
Ingrid E Fisher, Margaret R Garnsey, and Mark E Hughes. 2016 · 2016
Cited alongside, same era.
Large language models still can’t plan (a benchmark for llms on planning and reasoning about change)
Karthik Valmeekam, Alberto Olmo, Sarath Sreedharan, and Subbarao Kambhampati. 2022 · 2022
Later among the works it cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022 · 2022
Later among the works it cites.
When do you need chain-of-thought prompting for chatgpt?
Jiuhai Chen, Lichang Chen, Heng Huang, and Tianyi Zhou. 2023 · 2023
Closest in time.
Vicuna: An open-source chatbot impressing 3.54 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
Closest in time.
Sentiment analysis and text categorization of cancer medical records with lstm
Deepak Chowdary Edara, Lakshmi Prasanna Vanukuri, Venkatramaphanikumar Sistla, and Venkata Krishna Kishore Kolli. 2023 · 2023
Closest in time.
Gptscore: Evaluate as you desire
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, and Pengfei Liu. 2023 · 2023
Closest in time.
The false promise of imitating proprietary llms
Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, and Dawn Song. 2023 · 2023
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Gpteval: Nlg evaluation using 3.54 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
Closest in time.
Chatgpt as a factual inconsistency evaluator for abstractive text summarization
Zheheng Luo, Qianqian Xie, and Sophia Ananiadou. 2023 · 2023
Closest in time.
Codegen: An open large language model for code with multi-turn program synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2023 · 2023
Closest in time.
OpenAI. 2023 · 2023
Closest in time.
Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023 · 2023
Closest in time.
Sharegpt
Steven Tay et al. 2023 · 2023
Closest in time.
Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez, Alberto Olmo, and Subbarao Kambhampati. 2023 · 2023
Closest in time.
Multimedia generative script learning for task planning
Qingyun Wang, Manling Li, Hou Pong Chan, Lifu Huang, Julia Hockenmaier, Chowdhary Girish, and Heng Ji. 2023 · 2023
Closest in time.
Translating natural language to planning goals with large-language models
Yaqi Xie, Chen Yu, Tongyao Zhu, Jinbin Bai, Ze Gong, and Harold Soh. 2023 · 2023
Closest in time.
Wizardlm: Empowering large language models to follow complex instructions
Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, and Daxin Jiang. 2023 · 2023
Closest in time.
Dynosaur: A dynamic growth paradigm for instruction-tuning data curation
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, and Kai-Wei Chang. 2023 · 2023
Closest in time.
Lmsys-chat-1m: A large-scale real-world llm conversation dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric Xing, et al. 2023 · 2023
Closest in time.
Towards a unified multi-dimensional evaluator for text generation
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, and Jiawei Han. 2022 · 2038
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