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Career

· Assistant Professor, Massachusetts Institute of Technology2024–
· PhD Student, Carnegie Mellon University2018–2023
· Bachelor of Science with University Honors in Computer Science and Neural Computation, Carnegie Mellon University
· Master of Science in Machine Learning, Carnegie Mellon University

Publications (119)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
Multimodal Transformer for Unaligned Multimodal Language Sequences
Annual Meeting of the Association for Computational Linguistics · 2019
1,829
cited
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
Annual Meeting of the Association for Computational Linguistics · 2018
1,381
cited
Memory Fusion Network for Multi-view Sequential Learning
AAAI Conference on Artificial Intelligence · 2018
851
cited
Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
Annual Meeting of the Association for Computational Linguistics · 2018
849
cited
Think Locally, Act Globally: Federated Learning with Local and Global Representations
arXiv.org · 2020
683
cited
Multi-attention Recurrent Network for Human Communication Comprehension
AAAI Conference on Artificial Intelligence · 2018
545
cited
Learning Factorized Multimodal Representations
International Conference on Learning Representations · 2018
508
cited
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
AAAI Conference on Artificial Intelligence · 2018
500
cited
Towards Understanding and Mitigating Social Biases in Language Models
International Conference on Machine Learning · 2021
481
cited
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
AAAI Conference on Artificial Intelligence · 2018
462
cited
Multimodal sentiment analysis with word-level fusion and reinforcement learning
International Conference on Multimodal Interaction · 2017
305
cited
Towards Debiasing Sentence Representations
Annual Meeting of the Association for Computational Linguistics · 2020
274
cited
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
NeurIPS Datasets and Benchmarks · 2021
224
cited
Multimodal Language Analysis with Recurrent Multistage Fusion
Conference on Empirical Methods in Natural Language Processing · 2018
218
cited
Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
ACM Computing Surveys · 2022
174
cited
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence
Computer Vision and Pattern Recognition · 2019
163
cited
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
European Conference on Computer Vision · 2020
132
cited
Deep Gamblers: Learning to Abstain with Portfolio Theory
Neural Information Processing Systems · 2019
124
cited
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Conference on Empirical Methods in Natural Language Processing · 2022
116
cited
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Paul Pu Liang | Researcher Profile | Sotabase | Sotabase