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2020 – today
- 2025
[c10]Maohao Shen, Shun Zhang, Jilong Wu, Zhiping Xiu, Ehab A. AlBadawy, Yiting Lu, Mike Seltzer, Qing He:
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation. ICASSP 2025: 1-5- [c9]Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan:
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. ICML 2025 - [i15]Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Cox, Chuang Gan:
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. CoRR abs/2502.02508 (2025) - [i14]Kaiwen Zha, Zhengqi Gao, Maohao Shen, Zhang-Wei Hong, Duane S. Boning, Dina Katabi:
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning. CoRR abs/2505.15034 (2025) - [i13]Guangtao Zeng, Maohao Shen, Delin Chen, Zhenting Qi, Subhro Das, Dan Gutfreund, David Cox, Gregory W. Wornell, Wei Lu, Zhang-Wei Hong, Chuang Gan:
Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering. CoRR abs/2505.23604 (2025) - [i12]Zeyuan Yang, Xueyang Yu, Delin Chen, Maohao Shen, Chuang Gan:
Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens. CoRR abs/2506.17218 (2025) - [i11]Bowen Jiang, Yuan Yuan, Maohao Shen, Zhuoqun Hao, Zhangchen Xu, Zichen Chen, Ziyi Liu, Anvesh Rao Vijjini, Jiashu He, Hanchao Yu, Radha Poovendran, Gregory Wornell, Lyle H. Ungar, Dan Roth, Sihao Chen, Camillo Jose Taylor:
PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory. CoRR abs/2512.06688 (2025) - 2024
- [c8]Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh:
Thermometer: Towards Universal Calibration for Large Language Models. ICML 2024: 44687-44711 - [c7]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
:
Group Fairness with Uncertain Sensitive Attributes. ISIT 2024: 208-213 - [c6]Maohao Shen, Jongha Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell:
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NeurIPS 2024 - [i10]Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell:
Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions. CoRR abs/2402.06160 (2024) - [i9]Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh:
Thermometer: Towards Universal Calibration for Large Language Models. CoRR abs/2403.08819 (2024) - [i8]Maohao Shen, Shun Zhang, Jilong Wu, Zhiping Xiu, Ehab A. AlBadawy, Yiting Lu, Mike Seltzer, Qing He:
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation. CoRR abs/2410.20336 (2024) - [i7]Zeyuan Yang, Delin Chen, Xueyang Yu, Maohao Shen, Chuang Gan:
VCA: Video Curious Agent for Long Video Understanding. CoRR abs/2412.10471 (2024) - 2023
- [c5]Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. AAAI 2023: 9772-9781 - [c4]Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. EACL (Findings) 2023: 2371-2384 - [c3]Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation. ICML 2023: 30976-30991 - [i6]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell:
Group Fairness with Uncertainty in Sensitive Attributes. CoRR abs/2302.08077 (2023) - [i5]Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. CoRR abs/2305.00593 (2023) - 2022
- [i4]Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. CoRR abs/2202.00796 (2022) - [i3]Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo:
Batch Active Learning from the Perspective of Sparse Approximation. CoRR abs/2211.00246 (2022) - [i2]Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. CoRR abs/2212.07359 (2022) - 2021
- [c2]Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo:
Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation. ISBI 2021: 1269-1273 - 2020
- [c1]Bowen Jiang, Maohao Shen:
Dimensionality Reduction Via Diffusion Map Improved With Supervised Linear Projection. ICIP 2020: 1796-1800 - [i1]Bowen Jiang, Maohao Shen:
Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection. CoRR abs/2008.03440 (2020)
Coauthor Index
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