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Large language models (LLMs), such as ChatGPT, have demonstrated outstanding performance in various fields, particularly in natural language understanding and generation tasks.
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
Ben Shneiderman · 1996
Earlier work this paper cites.
Algorithms for Non-negative Matrix Factorization
Daniel Lee and H Sebastian Seung · 2000
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Concept Decompositions for Large Sparse Text Data Using Clustering
Inderjit S Dhillon and Dharmendra S Modha · 2001
Earlier work this paper cites.
ThemeRiver: Visualizing Thematic Changes in Large Document Collections
Susan Havre, Elizabeth Hetzler, Paul Whitney, and Lucy Nowell · 2002
Earlier work this paper cites.
Latent Dirichlet Allocation
David M Blei, Andrew Y Ng, and Michael I Jordan · 2003
Earlier work this paper cites.
Understanding the dynamics of collaborative multi-party discourse
Andrew J Cowell, Michelle L Gregory, Joe Bruce, Jereme Haack, Doug Love, Stuart Rose, and Adrienne H Andrew · 2006
Earlier work this paper cites.
A survey for the quadratic assignment problem
Eliane Maria Loiola, Nair Maria Maia De Abreu, Paulo Oswaldo Boaventura-Netto, Peter Hahn, and Tania Querido · 2007
Earlier work this paper cites.
A generic layout-tool for summaries of meetings in a constraint-based approach
Sandro Castronovo, Jochen Frey, and Peter Poller · 2008
Earlier work this paper cites.
Meeting adjourned: off-line learning interfaces for automatic meeting understanding
Patrick Ehlen, Matthew Purver, John Niekrasz, Kari Lee, and Stanley Peters · 2008
Earlier work this paper cites.
TextFlow: Towards Better Understanding of Evolving Topics in Text
Weiwei Cui, Shixia Liu, Li Tan, Conglei Shi, Yangqiu Song, Zekai Gao, Huamin Qu, and Xin Tong · 2011
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Design Considerations for Optimizing Storyline Visualizations
Yuzuru Tanahashi and Kwan-Liu Ma · 2012
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StoryFlow: Tracking the Evolution of Stories
Shixia Liu, Yingcai Wu, Enxun Wei, Mengchen Liu, and Yang Liu · 2013
Earlier work this paper cites.
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
Earlier work this paper cites.
How Hierarchical Topics Evolve in Large Text Corpora
Weiwei Cui, Shixia Liu, Zhuofeng Wu, and Hao Wei · 2014
Earlier work this paper cites.
Distributed Representations of Sentences and Documents
Quoc Le and Tomas Mikolov · 2014
Earlier work this paper cites.
GloVe: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
Earlier work this paper cites.
EvoRiver: Visual Analysis of Topic Coopetition on Social Media
Guodao Sun, Yingcai Wu, Shixia Liu, Tai-Quan Peng, Jonathan JH Zhu, and Ronghua Liang · 2014
Earlier work this paper cites.
A Novel Neural Topic Model and Its Supervised Extension
Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, and Heng Ji · 2015
Earlier work this paper cites.
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji B. Dieng, Chong Wang, Jianfeng Gao, and John Paisley · 2016
Earlier work this paper cites.
ConToVi: Multi-party conversation exploration using topic-space views
Mennatallah El-Assady, Valentin Gold, Carmela Acevedo, Christopher Collins, and Daniel Keim · 2016
Earlier work this paper cites.
HOLA: Human-like Orthogonal Network Layout
Steve Kieffer, Tim Dwyer, Kim Marriott, and Michael Wybrow · 2016
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TopicLens: Efficient Multi-level Visual Topic Exploration of Large-Scale Document Collections
Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, and Niklas Elmqvist · 2016
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Online Visual Analytics of Text Streams
Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, and Jian Pei · 2016
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NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations
Mennatallah El-Assady, Rita Sevastjanova, Bela Gipp, Daniel Keim, and Christopher Collins · 2017
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A Visual Analytics System for Optimizing Communications in Massively Parallel Applications
Takanori Fujiwara, Preeti Malakar, Khairi Reda, Venkatram Vishwanath, Michael E Papka, and Kwan-Liu Ma · 2017
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IdeaWall: Improving creative collaboration through combinatorial visual stimuli
Real-Time Visual Analysis of High-Volume Social Media Posts
Johannes Knittel, Steffen Koch, Tan Tang, Wei Chen, Yingcai Wu, Shixia Liu, and Thomas Ertl · 2022
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Memory-assisted prompt editing to improve gpt-3 after deployment
Aman Madaan, Niket Tandon, Peter Clark, and Yiming Yang · 2022
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Entailer: Answering questions with faithful and truthful chains of reasoning
Oyvind Tafjord, Bhavana Dalvi Mishra, and Peter Clark · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
Later among the works it cites.
VAC 2 : Visual Analysis of Combined Causality in Event Sequences
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Yang Shi, Yang Wang, Ye Qi, John Chen, Xiaoyao Xu, and Kwan-Liu Ma · 2017
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Improving Language Understanding by Generative Pre-Training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
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MeetingVis: Visual Narratives to Assist in Recalling Meeting Context and Content
Yang Shi, Chris Bryan, Sridatt Bhamidipati, Ying Zhao, Yaoxue Zhang, and Kwan-Liu Ma · 2018
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StreamExplorer: A Multi-Stage System for Visually Exploring Events in Social Streams
Yingcai Wu, Zhutian Chen, Guodao Sun, Xiao Xie, Nan Cao, Shixia Liu, and Weiwei Cui · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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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
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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, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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Sujia Zhu, Yue Shen, Zihao Zhu, Wang Xia, Baofeng Chang, Ronghua Liang, and Guodao Sun · 2022
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Mega: Multilingual evaluation of generative ai
Kabir Ahuja, Rishav Hada, Millicent Ochieng, Prachi Jain, Harshita Diddee, Samuel Maina, Tanuja Ganu, Sameer Segal, Maxamed Axmed, Kalika Bali, et al · 2023
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How good are gpt models at machine translation? a comprehensive evaluation
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Is chatgpt a good translator
Wenxiang Jiao, Wenxuan Wang, JT Huang, Xing Wang, and Zhaopeng Tu · 2023
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Revolutionizing Radiology with GPT-based Models: Current Applications, Future Possibilities and Limitations of ChatGPT
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Yucheng Li · 2023
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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
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Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models
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Self-refine: Iterative refinement with self-feedback
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OpenAI · 2023
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Jaromir Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, and Majd Sakr · 2023
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Application of Mathematical Optimization in Data Visualization and Visual Analytics: A Survey
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Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization
Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, and Wei Cheng · 2023
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Towards Better Pattern Enhancement in Temporal Evolving Set Visualization
Zihao Zhu, Yue Shen, Sujia Zhu, Gefei Zhang, Ronghua Liang, and Guodao Sun · 2023
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