🧑‍🔬 Eric P. Xing — all works

79 works · ← Eric P. Xing

1. Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 4,573 citations
2. Mixed Membership Stochastic Blockmodels. ↗PubMed · no summary yetEdoardo M. Airoldi et al.2008 · 810 citations
3. Harnessing Deep Neural Networks with Logic RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, et al.2016 · 627 citations
4. Toward Controlled Generation of TextarXiv:1703.00955Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.2017 · 537 citations
5. On the Automatic Generation of Medical Imaging ReportsAnnual Meeting of the Association for Computational Linguistics (ACL)Baoyu Jing, Pengtao Xie, Eric Xing2018 · 484 citations
6. Rethinking Knowledge Graph Propagation for Zero-Shot Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMichael Kampffmeyer et al.2019 · 355 citations
7. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 338 citations
8. Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChristy Y. Li et al.2019 · 331 citations
9. Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiaodan Liang, Lisa Lee, Eric P. Xing2017 · 249 citations
10. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetarXiv:2309.11998Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 242 citations
11. MedLDA ↗International Conference on Machine Learning · no summary yetJun Zhu, Amr AbdelFatah Ahmed, Eric P. Xing2009 · 232 citations
12. GLaMM: Pixel Grounding Large Multimodal Model ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHanoona Rasheed et al.2024 · 226 citations
13. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical ReasoningFindings of the Association for Computational LinguisticsJiaqi Chen, Jianheng Tang, Jinghui Qin, et al.2021 · 184 citations
14. Dynamic mixed membership blockmodel for evolving networks ↗International Conference on Machine Learning · no summary yetWenjie Fu, Le Song, Eric P. Xing2009 · 174 citations
15. Target-Guided Open-Domain ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, et al.2019 · 166 citations
16. Unsupervised Text Style Transfer using Language Models as DiscriminatorsarXiv:1805.11749Zichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 161 citations
17. Adversarial Connective-exploiting Networks for Implicit Discourse Relation ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.2017 · 145 citations
18. A Neural Architecture for Automated ICD Coding ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPengtao Xie, Eric Xing2018 · 142 citations
19. A Latent Variable Model for Geographic Lexical VariationConference on Empirical Methods in Natural Language Processing (EMNLP)Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, et al.2010 · 110 citations
20. Self-Training for Jointly Learning to Ask and Answer Questions ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetMrinmaya Sachan, Eric Xing2018 · 107 citations
21. Mixed Membership Stochastic Block Models for Relational Data with Application to Protein-Protein Interactions ↗no summary yetEdoardo M. Airoldi et al.2006 · 107 citations
22. Progressive Generation of Long Text with Pretrained Language Models ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetBowen Tan et al.2021 · 105 citations
23. Stochastic Variational Deep Kernel Learning ↗arXiv (Cornell University) · no summary yetAndrew Gordon Wilson et al.2016 · 105 citations
24. Easy Questions First? A Case Study on Curriculum Learning for Question Answering ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMrinmaya Sachan, Eric Xing2016 · 103 citations
25. PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ↗arXiv:2310.16427 · no summary yetXinyuan Wang et al.2023 · 102 citations
26. Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Bowen Tan, Zhengzhong Liu, et al.2021 · 102 citations
27. On Unifying Deep Generative Models ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2017 · 98 citations
28. Efficient Exploration via State Marginal Matching ↗arXiv (Cornell University) · no summary yetLisa Lee et al.2019 · 96 citations
29. Incorporating Word Correlation Knowledge into Topic Modeling ↗Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetPengtao Xie, Diyi Yang, Eric Xing2015 · 93 citations
30. Deep Neural Networks with Massive Learned Knowledge ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetZhiting Hu et al.2016 · 86 citations
31. Efficient Test-Time Adaptation of Vision-Language Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAdilbek Karmanov et al.2024 · 83 citations
32. Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space ↗arXiv:2201.00814 · no summary yetArnav Chavan et al.2022 · 82 citations
33. Learning Data Manipulation for Augmentation and Weighting ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2019 · 79 citations
34. Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhiqiang Shen et al.2022 · 72 citations
35. Turbo Parsers: Dependency Parsing by Approximate Variational InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)André Martins, Noah Smith, Eric Xing, et al.2010 · 69 citations
36. Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSeojin Bang et al.2021 · 65 citations
37. Towards Visual Question Answering on Pathology Images ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yetXuehai He et al.2021 · 64 citations
38. A latent mixed membership model for relational data ↗no summary yetEdoardo M. Airoldi et al.2005 · 60 citations
39. Deep Generative Models with Learnable Knowledge Constraints ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2018 · 48 citations
40. Towards an integration of text and graph clustering methods as a lens for studying social interaction in MOOCs ↗The International Review of Research in Open and Distributed Learning · no summary yetDiyi Yang et al.2014 · 43 citations
41. Deep Kernel Learning ↗arXiv (Cornell University) · no summary yetAndrew Gordon Wilson et al.2015 · 42 citations
42. LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning ↗arXiv:2311.12023 · no summary yetHan Guo et al.2023 · 39 citations
43. SlimPajama-DC: Understanding Data Combinations for LLM TrainingarXiv:2309.10818Zhiqiang Shen, Tianhua Tao, Liqun Ma, et al.2023 · 38 citations
44. DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training ↗arXiv:2310.03294 · no summary yetDacheng Li et al.2023 · 36 citations
45. Dynamic Language Models for Streaming TextTransactions of the Association for Computational Linguistics (TACL)Dani Yogatama, Chong Wang, Bryan R. Routledge, et al.2014 · 32 citations
46. Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models ↗arXiv:2408.10189 · no summary yetAviv Bick et al.2024 · 29 citations
47. Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks ↗Computational Linguistics · no summary yetMrinmaya Sachan et al.2019 · 28 citations
48. Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis ↗Springer eBooks · no summary yetEdoardo M. Airoldi et al.2008 · 25 citations
49. Fast Matrix Multiplications for Lookup Table-Quantized LLMs ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetHan Guo et al.2024 · 23 citations
50. AutoLoss: Learning Discrete Schedules for Alternate Optimization ↗arXiv (Cornell University) · no summary yetHaowen Xu et al.2018 · 23 citations
51. Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems ↗neural information processing systems · no summary yetMrinmaya Sachan et al.2018 · 22 citations
52. VSA: Faster Video Diffusion with Trainable Sparse Attention ↗arXiv (Cornell University) · no summary yetZhang, Peiyuan et al.2025 · 21 citations
53. On Optimizing the Communication of Model Parallelism ↗arXiv (Cornell University) · no summary yetYonghao Zhuang et al.2022 · 21 citations
54. Deep Determinantal Point Process for Large-Scale Multi-label Classification ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetPengtao Xie et al.2017 · 20 citations
55. MegaMath: Pushing the Limits of Open Math Corpora ↗arXiv:2504.02807 · no summary yetFan Zhou et al.2025 · 19 citations
56. Connecting the Dots Between MLE and RL for Sequence Generation ↗arXiv (Cornell University) · no summary yetBowen Tan et al.2019 · 19 citations
57. Transformation Autoregressive Networks ↗arXiv (Cornell University) · no summary yetJunier B. Oliva et al.2018 · 19 citations
58. Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic DialectWorkshop on Language Models for Low-Resource LanguagesGuokan Shang, Hadi Abdine, Yousef Khoubrane, et al.2025 · 18 citations
59. Convolutional Neural Networks for Medical Diagnosis from Admission Notes ↗arXiv (Cornell University) · no summary yetChristy Y. Li et al.2017 · 18 citations
60. Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures ↗arXiv (Cornell University) · no summary yetHongyang Zhang et al.2018 · 17 citations
61. MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification ↗no summary yetJun Zhu et al.2009 · 15 citations
62. Efficient Multiple Instance Metric Learning Using Weakly Supervised Data ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMarc T. Law et al.2017 · 14 citations
63. ALISON: Fast and Effective Stylometric Authorship Obfuscation ↗arXiv:2402.00835 · no summary yetEric Xing et al.2024 · 10 citations
64. Cavs: An Efficient Runtime System for Dynamic Neural Networks ↗USENIX Annual Technical Conference · no summary yetShizhen Xu et al.2018 · 10 citations
65. Nile-Chat: Egyptian Language Models for Arabic and Latin ScriptsArabic Natural Language Processing Conference (ArabicNLP)Guokan Shang, Hadi Abdine, Ahmad Chamma, et al.2025 · 9 citations
66. Mixed membership analysis of high-throughput interaction studies: Relational data ↗arXiv (Cornell University) · no summary yetEdoardo M. Airoldi et al.2007 · 9 citations
67. lmgame-Bench: How Good are LLMs at Playing Games? ↗arXiv (Cornell University) · no summary yetLanxiang Hu et al.2025 · 8 citations
68. On the Complexity of Exploration in Goal-Driven Navigation ↗arXiv (Cornell University) · no summary yetMaruan Al-Shedivat et al.2018 · 8 citations
69. Gated Path Planning Networks ↗arXiv (Cornell University) · no summary yetLisa Lee et al.2018 · 6 citations
70. LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch ↗arXiv (Cornell University) · no summary yetZhengzhong Liu et al.2025 · 3 citations
71. Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanbin Yin, Kun Zhou, Zhen Wang, et al.2026 · 1 citation
72. Efficient Long-context Language Model Training by Core Attention Disaggregation ↗arXiv:2510.18121 · no summary yetYonghao Zhuang et al.2025 · 1 citation
73. Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ↗arXiv (Cornell University) · no summary yetHan Wen Guo et al.2023 · 1 citation
74. Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks ↗arXiv (Cornell University) · no summary yetZhang, Hao et al.2017 · 1 citation
75. From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning ↗arXiv (Cornell University) · no summary yetLingjing Kong et al.2026
76. Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShaoan Xie et al.2026
77. Response to Promises and Pitfalls of Deep Kernel Learning ↗arXiv (Cornell University) · no summary yetAndrew Gordon Wilson et al.2025
78. Discourse in Multimedia: A Case Study in Information Extraction ↗arXiv (Cornell University) · no summary yetMrinmaya Sachan et al.2018
79. Proceedings of the 2006 conference on Statistical network analysis ↗no summary yetEdoardo M. Airoldi et al.2006

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