Kai-Wei Chang

Active 1980–2026

Also published as
Kai‐Wei Chang
461
Papers
39,841
Citations
72
h-index
244
i10-index

Citations

Citations per year for Kai-Wei Chang1970: 1 citations1981: 2 citations1982: 1 citations1983: 1 citations1985: 1 citations1986: 1 citations1988: 2 citations1990: 1 citations1991: 1 citations1992: 2 citations1995: 2 citations1996: 1 citations1997: 1 citations1998: 1 citations2000: 2 citations2001: 2 citations2002: 6 citations2003: 2 citations2004: 9 citations2005: 3 citations2006: 3 citations2007: 5 citations2008: 19 citations2009: 104 citations2010: 242 citations2011: 338 citations2012: 486 citations2013: 608 citations2014: 774 citations2015: 908 citations2016: 981 citations2017: 816 citations2018: 854 citations2019: 1,106 citations2020: 1,352 citations2021: 1,682 citations2022: 1,598 citations2023: 2,255 citations2024: 2,816 citations2025: 3,996 citations2026: 1,999 citations1971–1980: no citations, so these years are not shown1984: no citations, so this year is not shown1987: no citations, so this year is not shown1989: no citations, so this year is not shown1993–1994: no citations, so these years are not shown1999: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,828 citing papers, 24.9% of this breakdownChina: 4,058 citing papers, 21% of this breakdownUnited Kingdom: 1,154 citing papers, 6% of this breakdownGermany: 859 citing papers, 4.4% of this breakdownAustralia: 618 citing papers, 3.2% of this breakdownCanada: 569 citing papers, 2.9% of this breakdownJapan: 524 citing papers, 2.7% of this breakdownFrance: 522 citing papers, 2.7% of this breakdownSingapore: 517 citing papers, 2.7% of this breakdownIndia: 502 citing papers, 2.6% of this breakdownHong Kong: 470 citing papers, 2.4% of this breakdownItaly: 423 citing papers, 2.2% of this breakdown
0%24.9%Other 22.3%

Fields

  • Computer Science73.2%
  • Social Sciences5.2%
  • Biochemistry, Genetics and Molecular Biology4.4%
  • Engineering3.9%
  • Medicine3.2%
  • Mathematics2.1%
  • Other8%

Topics

  • Topic Modeling10.1%
  • Natural Language Processing Techniques6.3%
  • Multimodal Machine Learning Applications6.2%
  • Domain Adaptation and Few-Shot Learning3%
  • Advanced Image and Video Retrieval Techniques2.8%
  • Adversarial Robustness in Machine Learning1.8%
  • Other69.8%

Coauthors

All papers

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  1. MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models

    Authors: , , , , , , , , , - ICLR 2024 cited by 1,759

  2. VisualBERT: A Simple and Performant Baseline for Vision and Language

    Authors: , , , , - arXiv (Cornell University), CoRR 2019 cited by 1,671

  3. TrustLLM: Trustworthiness in Large Language Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao - arXiv (Cornell University), CoRR 2024 cited by 410

  4. OpenThoughts: Data Recipes for Reasoning Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt - ArXiv.org, CoRR 2025 cited by 257

  5. Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

    Authors: , , , , , , , , - Advances in Neural Information Processing Systems 35, NeurIPS 2022 cited by 2,499

  6. The Woman Worked as a Babysitter: On Biases in Language Generation

    Authors: , , , - Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), EMNLP/IJCNLP (1) 2019 cited by 496

  7. LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

    Authors: , , , , , - ICLR 2025 cited by 429

  8. MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

    Authors: , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 195

  9. Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

    Authors: , , , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), NAACL-HLT (2) 2018 cited by 674

  10. Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

    Authors: , , , , , , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 482

  11. Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

    Authors: , , , , , , , - ICLR 2023 cited by 463

  12. BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

    Authors: , , , , , , - Conference on Fairness, FAccT 2021 cited by 219

  13. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

    Authors: , , , , - NIPS 2016 cited by 3,784

  14. OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

    Authors: , , , , , - NeurIPS 2025 cited by 152

  15. Unified Pre-training for Program Understanding and Generation

    Authors: , , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021 cited by 581

  16. VideoPhy: Evaluating Physical Commonsense for Video Generation

    Authors: , , , , , , , , , - ICLR 2025 cited by 189

  17. MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding

    Authors: , , , , , , , , , , , , , , , , , , , , - ICLR 2025 cited by 168

  18. Mitigating Gender Bias in Natural Language Processing: Literature Review

    Authors: , , , , , , , , , - Meeting of the Association for Computational Linguistics, ACL (1) 2019 cited by 495

  19. Multifaceted protein-protein interaction prediction based on Siamese residual RCNN

    Authors: , , , , , , , - Bioinformatics, Bioinform. 2019 cited by 391

  20. What's "up" with vision-language models? Investigating their struggle with spatial reasoning

    Authors: , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 cited by 114

  21. "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters

    Authors: , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2023, EMNLP (Findings) 2023 cited by 107

  22. Prompt-Driven LLM Safeguarding via Directed Representation Optimization

    Authors: , , , , , , , - ICML 2024 cited by 129

  23. How Much Can CLIP Benefit Vision-and-Language Tasks?

    Authors: , , , , , , , - ICLR 2022 cited by 516

  24. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

    Authors: , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2017 cited by 779