🧑‍🔬 Paul Pu Liang — all works

49 works · ← Paul Pu Liang

1. Multimodal Transformer for Unaligned Multimodal Language SequencesAnnual Meeting of the Association for Computational Linguistics (ACL)Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.2019 · 2,193 citations
2. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion GraphAnnual Meeting of the Association for Computational Linguistics (ACL)AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.2018 · 1,522 citations
3. Efficient Low-rank Multimodal Fusion With Modality-Specific FactorsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, et al.2018 · 1,188 citations
4. Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHai Pham et al.2019 · 533 citations
5. Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYansen Wang et al.2019 · 513 citations
6. Learning Factorized Multimodal Representations ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2018 · 286 citations
7. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
8. Towards Debiasing Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.2020 · 262 citations
9. Multimodal Language Analysis with Recurrent Multistage Fusion ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetPaul Pu Liang et al.2018 · 248 citations
10. Rethinking Architecture Design for Tackling Data Heterogeneity in Federated 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 yetLiangqiong Qu et al.2022 · 202 citations
11. Think Locally, Act Globally: Federated Learning with Local and Global Representations ↗arXiv (Cornell University) · no summary yetPaul Pu Liang et al.2020 · 140 citations
12. Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAmir Zadeh et al.2019 · 133 citations
13. Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetPaul Pu Liang et al.2019 · 109 citations
14. Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetYuxin Xiao et al.2022 · 79 citations
15. OS-ATLAS: A Foundation Action Model for Generalist GUI AgentsarXiv:2410.23218Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, et al.2024 · 67 citations
16. StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetYiwei Lyu et al.2021 · 50 citations
17. Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Alex Wilf, Sihyun Lee, Paul Pu Liang, et al.2024 · 48 citations
18. DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetYiwei Lyu et al.2022 · 42 citations
19. MultiBench: Multiscale Benchmarks for Multimodal Representation Learning ↗PubMed · no summary yetPaul Pu Liang et al.2021 · 42 citations
20. Deep Gamblers: Learning to Abstain with Portfolio Theory ↗arXiv (Cornell University) · no summary yetLiu Ziyin et al.2019 · 41 citations
21. Strong and Simple Baselines for Multimodal Utterance Embeddings ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetPaul Pu Liang et al.2019 · 36 citations
22. Factorized Contrastive Learning: Going Beyond Multi-view Redundancy ↗neural information processing systems · no summary yetPaul Pu Liang et al.2023 · 32 citations
23. Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment ↗ACM International Conference on Multimedia (ACM MM) · no summary yetPaul Pu Liang et al.2021 · 25 citations
24. MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetHaofei Yu et al.2024 · 22 citations
25. MultiViz: Towards Visualizing and Understanding Multimodal Models ↗arXiv (Cornell University) · no summary yetPaul Pu Liang et al.2022 · 21 citations
26. Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals ↗neural information processing systems · no summary yetYue Wu et al.2023 · 20 citations
27. Learning Not to Learn in the Presence of Noisy Labels ↗arXiv (Cornell University) · no summary yetLiu Ziyin et al.2020 · 18 citations
28. PACS: A Dataset for Physical Audiovisual CommonSense Reasoning ↗Lecture notes in computer science · no summary yetSamuel Yu et al.2022 · 17 citations
29. Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning ↗arXiv (Cornell University) · no summary yetMartin Q. Ma et al.2021 · 14 citations
30. High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning ↗arXiv (Cornell University) · no summary yetPaul Pu Liang et al.2022 · 13 citations
31. VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual CuesAnnual Meeting of the Association for Computational Linguistics (ACL)Jianshu Zhang, Dongyu Yao, Renjie Pi, et al.2025 · 12 citations
32. Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetPaul Pu Liang et al.2021 · 12 citations
33. Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRohan Pandey et al.2023 · 11 citations
34. CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery ↗arXiv:2604.01658 · no summary yetAo Qu et al.2026 · 9 citations
35. Multimodal Fusion Interactions: A Study of Human and Automatic Quantification ↗INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · no summary yetPaul Pu Liang et al.2023 · 9 citations
36. HEMM: Holistic Evaluation of Multimodal Foundation Models ↗neural information processing systems · no summary yetPaul Pu Liang et al.2024 · 8 citations
37. On Emergent Communication in Competitive Multi-Agent Teams ↗Adaptive Agents and Multi-Agents Systems · no summary yetPaul Pu Liang et al.2020 · 7 citations
38. Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks ↗arXiv (Cornell University) · no summary yetPeter Wu et al.2021 · 6 citations
39. Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetXiang Fan et al.2023 · 5 citations
40. Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications ↗arXiv (Cornell University) · no summary yetPaul Pu Liang et al.2023 · 4 citations
41. Semantically Corrected Amharic Automatic Speech RecognitionCommunications in computer and information scienceSamuael Adnew, Paul Pu Liang2024 · 3 citations
42. MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models ↗Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yetPaul Pu Liang et al.2023 · 3 citations
43. A Simple Approach to the Noisy Label Problem Through the Gambler's Loss ↗no summary yetLiu Ziyin et al.2019 · 3 citations
44. MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning ↗arXiv (Cornell University) · no summary yetPaul Pu Liang et al.2023 · 1 citation
45. RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data AnalysisFindings of the Association for Computational LinguisticsAnku Rani, Aparna Garimella, Apoorv Saxena, et al.2026
46. SPADE: Self-Play in Adaptive Synthetic Executable Environments ↗arXiv (Cornell University) · no summary yetBo Liu et al.2026
47. Act2See: Emergent Active Visual Perception for Video Reasoning ↗arXiv (Cornell University) · no summary yetMartin Q. Ma et al.2026
48. Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models ↗arXiv (Cornell University) · no summary yetMartin Q. Ma et al.2026
49. Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetHanqi Yan et al.2026

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