Conference Publications
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Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding.
Tian Jin*, Ellie Y. Cheng*, Zack Ankner, Nikunj Saunshi, Blake M. Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin. International Conference on Machine Learning (ICML), 2025.BibTex
@inproceedings{jin2025promise, title = {Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding}, author = {Jin, Tian and Cheng, Ellie Y. and Ankner, Zack and Saunshi, Nikunj and Elias, Blake M. and Yazdanbakhsh, Amir and Ragan-Kelley, Jonathan and Subramanian, Suvinay and Carbin, Michael}, booktitle = {International Conference on Machine Learning}, year = {2025}, } -
Inference Plans for Hybrid Probabilistic Inference. Ellie Y. Cheng, Eric Atkinson, Guillaume Baudart, Louis Mandel, Michael Carbin. Principles of Programming Languages (POPL), 2025.
BibTex
@inproceedings{cheng2025inference, title = {Inference Plans for Hybrid Particle Filtering}, author = {Cheng, Ellie Y. and Atkinson, Eric and Baudart, Guillaume and Mandel, Louis and Carbin, Michael}, booktitle = {Principles of Programming Languages}, year = {2025}, } -
How Can I Explain This To You? An Empirical Study of Deep Neural Network Explanation Methods. Jeya Vikranth Jeyakumar, Joseph Noor, Yu-Hsi Cheng, Luis Garcia, Mani Srivastava. Advances in Neural Information Processing Systems, 2020.
BibTex
@inproceedings{JeyakumarNeurIPS20, title = {How can i explain this to you? an empirical study of deep neural network explanation methods}, author = {Jeyakumar, Jeya Vikranth and Noor, Joseph and Cheng, Yu-Hsi and Garcia, Luis and Srivastava, Mani}, booktitle = {Advances in Neural Information Processing Systems}, year = {2020}, }
Non-Archival Publications
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Sharing State Between Prompts and Programs. Ellie Y. Cheng, Logan Weber, Tian Jin, Michael Carbin. arXiv, 2025.
BibTex
@article{cheng2025sharing, title = {Sharing State Between Prompts and Programs}, author = {Cheng, Ellie Y. and Weber, Logan and Jin, Tian and Carbin, Michael}, journal = {arXiv preprint arXiv:2512.14805}, year = {2025}, } -
Planned Diffusion. Daniel Israel*, Tian Jin*, Ellie Cheng, Guy Van den Broeck, Aditya Grover, Suvinay Subramanian, Michael Carbin. arXiv, 2025.
BibTex
@article{israel2025planned, title = {Planned Diffusion}, author = {Israel, Daniel and Jin, Tian and Cheng, Ellie and Broeck, Guy Van den and Grover, Aditya and Subramanian, Suvinay and Carbin, Michael}, journal = {arXiv preprint arXiv:2510.18087}, year = {2025}, } -
Expressing and Exploiting Parallelism in Language Model Decoding. Tian Jin*, Ellie Y. Cheng*, Michael Carbin. Workshop on Large Language Model (LLM) Agents, ICLR, 2024.
BibTex
@inproceedings{jin2024expressing, title = {Expressing and Exploiting Parallelism in Language Model Decoding}, author = {Jin, Tian and Cheng, Ellie Y and Carbin, Michael}, booktitle = {Workshop on Large Language Model (LLM) Agents} year = {2024}, } -
Verifying Performance Properties of Probabilistic Inference. Eric Atkinson, Ellie Y. Cheng, Guillaume Baudart, Louis Mandel, Michael Carbin. Workshop on Verification of Probabilistic Programs (VeriProP), 2023.
BibTex
@inproceedings{AtkinsonVeriProP23, title = {Verifying Performance Properties of Probabilistic Inference}, author = {Atkinson, Eric and Cheng, Ellie Y. and Baudart, Guillaume and Mandel, Louis and Carbin, Michael}, booktitle = {Workshop on Verification of Probabilistic Programs}, year = {2023}, } -
flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs. Yu-Hsi Cheng, Todd Millstein, Guy Van den Broeck, Steven Holtzen. International Conference on Probabilistic Programming (PROBPROG), 2021.
BibTex
@inproceedings{ChengPROBPROG21, title = {flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs}, author = {Cheng, Yu-Hsi and Millstein, Todd and Van den Broeck, Guy and Holtzen, Steven}, booktitle = {International Conference on Probabilistic Programming}, year = {2021}, }