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2020 – today
- 2025
[c24]Marianne Arriola, Aaron Gokaslan, Justin T. Chiu, Zhihan Yang, Zhixuan Qi, Jiaqi Han, Subham Sekhar Sahoo, Volodymyr Kuleshov:
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models. ICLR 2025- [c23]Wenting Zhao, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gallé, Alexander M. Rush:
Commit0: Library Generation from Scratch. ICLR 2025 - [c22]Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T. Chiu, Volodymyr Kuleshov:
The Diffusion Duality. ICML 2025 - [i21]Marianne Arriola, Aaron Gokaslan, Justin T. Chiu, Zhihan Yang, Zhixuan Qi, Jiaqi Han, Subham Sekhar Sahoo, Volodymyr Kuleshov:
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models. CoRR abs/2503.09573 (2025) - [i20]Aakanksha, Arash Ahmadian, Marwan Ahmed, Jay Alammar, Milad Alizadeh, Yazeed Alnumay, Sophia Althammer, Arkady Arkhangorodsky, Viraat Aryabumi, Dennis Aumiller, Raphaël Avalos, Zahara Aviv, Sammie Bae, Saurabh Baji, Alexandre Barbet, Max Bartolo, Björn Bebensee, Neeral Beladia, Walter Beller-Morales, Alexandre Bérard, Andrew Berneshawi, Anna Bialas, Phil Blunsom, Matt Bobkin, Adi Bongale, Sam Braun, Maxime Brunet, Samuel Cahyawijaya, David Cairuz, Jon Ander Campos, Cassie Cao, Kris Cao, Roman Castagné, Julián Cendrero, Leila Chan Currie, Yash Chandak, Diane Chang, Giannis Chatziveroglou, Hongyu Chen, Claire Cheng, Alexis Chevalier, Justin T. Chiu, Eugene Choi, Eujeong Choi, Tim Chung, Volkan Cirik, Ana Cismaru, Pierre Clavier, Henry Conklin, Lucas Crawhall-Stein, Devon Crouse, Felipe Cruz-Salinas, Ben Cyrus, Daniel D'souza, Hugo Dalla-Torre, John Dang, William Darling, Omar Darwiche Domingues, Saurabh Dash, Antoine Debugne, Théo Dehaze, Shaan Desai, Joan Devassy, Rishit Dholakia, Kyle Duffy, Ali Edalati, Ace Eldeib, Abdullah Elkady, Sarah Elsharkawy, Irem Ergün, Beyza Ermis, Marzieh Fadaee, Boyu Fan, Lucas Fayoux, Yannis Flet-Berliac, Nick Frosst, Matthias Gallé, Wojciech Galuba, Utsav Garg, Matthieu Geist, Mohammad Gheshlaghi Azar, Ellen Gilsenan-McMahon, Seraphina Goldfarb-Tarrant, Tomas Goldsack, Aidan N. Gomez, Victor Machado Gonzaga, Nithya Govindarajan, Manoj Govindassamy, Nathan Grinsztajn, Nikolas Gritsch, Patrick Gu, Shangmin Guo, Kilian Haefeli, Rod Hajjar, Tim Hawes, Jingyi He, Sebastian Hofstätter, Sungjin Hong:
Command A: An Enterprise-Ready Large Language Model. CoRR abs/2504.00698 (2025) - [i19]Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T. Chiu, Volodymyr Kuleshov:
The Diffusion Duality. CoRR abs/2506.10892 (2025) - [i18]Ziga Kovacic, Celine Lee, Justin T. Chiu, Wenting Zhao, Kevin Ellis:
Refactoring Codebases through Library Design. CoRR abs/2506.11058 (2025) - 2024
- [c21]Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky:
Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) 2024: 10040-10060 - [c20]John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush:
Language Model Inversion. ICLR 2024 - [c19]Sedrick Keh, Justin T. Chiu, Daniel Fried:
Asking More Informative Questions for Grounded Retrieval. NAACL-HLT (Findings) 2024: 4429-4442 - [c18]Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr:
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. NAACL-HLT 2024: 8487-8505 - [c17]Subham S. Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander Rush, Volodymyr Kuleshov:
Simple and Effective Masked Diffusion Language Models. NeurIPS 2024 - [i17]Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander M. Rush, Volodymyr Kuleshov:
Simple and Effective Masked Diffusion Language Models. CoRR abs/2406.07524 (2024) - [i16]Yi Lu, Jing Nathan Yan, Songlin Yang, Justin T. Chiu, Siyu Ren, Fei Yuan, Wenting Zhao, Zhiyong Wu, Alexander M. Rush:
A Controlled Study on Long Context Extension and Generalization in LLMs. CoRR abs/2409.12181 (2024) - [i15]Wenting Zhao, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gallé, Alexander M. Rush:
Commit0: Library Generation from Scratch. CoRR abs/2412.01769 (2024) - 2023
- [c16]Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush:
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. ACL (1) 2023: 14883-14896 - [c15]Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush
, Daniel Fried:
Symbolic Planning and Code Generation for Grounded Dialogue. EMNLP 2023: 7426-7436 - [c14]Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush:
Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision. EMNLP 2023: 16119-16130 - [c13]Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu:
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering. SIGCOMM 2023: 378-393 - [i14]Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush:
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision. CoRR abs/2305.14237 (2023) - [i13]Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush:
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. CoRR abs/2305.14618 (2023) - [i12]Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried:
Symbolic Planning and Code Generation for Grounded Dialogue. CoRR abs/2310.17140 (2023) - [i11]Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky:
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR abs/2311.08390 (2023) - [i10]Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr:
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. CoRR abs/2311.08469 (2023) - [i9]Sedrick Keh, Justin T. Chiu, Daniel Fried:
Asking More Informative Questions for Grounded Retrieval. CoRR abs/2311.08584 (2023) - [i8]John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush:
Language Model Inversion. CoRR abs/2311.13647 (2023) - 2022
- [c12]John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush:
Unsupervised Text Deidentification. EMNLP (Findings) 2022: 4777-4788 - [i7]Justin T. Chiu, Yuntian Deng, Alexander M. Rush:
Low-Rank Constraints for Fast Inference in Structured Models. CoRR abs/2201.02715 (2022) - [i6]John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush:
Unsupervised Text Deidentification. CoRR abs/2210.11528 (2022) - [i5]Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu:
Teal: Learning-Accelerated Optimization of Traffic Engineering. CoRR abs/2210.13763 (2022) - 2021
- [c11]Daniel Fried, Justin T. Chiu, Dan Klein:
Reference-Centric Models for Grounded Collaborative Dialogue. EMNLP (1) 2021: 2130-2147 - [c10]Justin T. Chiu, Yuntian Deng, Alexander M. Rush:
Low-Rank Constraints for Fast Inference in Structured Models. NeurIPS 2021: 2887-2898 - [i4]Daniel Fried, Justin T. Chiu, Dan Klein:
Reference-Centric Models for Grounded Collaborative Dialogue. CoRR abs/2109.05042 (2021) - 2020
- [c9]Justin T. Chiu, Alexander M. Rush:
Scaling Hidden Markov Language Models. EMNLP (1) 2020: 1341-1349 - [i3]Justin T. Chiu, Alexander M. Rush:
Scaling Hidden Markov Language Models. CoRR abs/2011.04640 (2020)
2010 – 2019
- 2019
- [c8]Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Neeraj Pradhan, Justin T. Chiu, Alexander M. Rush, Noah D. Goodman:
Tensor Variable Elimination for Plated Factor Graphs. ICML 2019: 4871-4880 - [i2]Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Justin T. Chiu, Neeraj Pradhan, Alexander M. Rush, Noah D. Goodman:
Tensor Variable Elimination for Plated Factor Graphs. CoRR abs/1902.03210 (2019) - 2018
- [c7]Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush:
Latent Alignment and Variational Attention. NeurIPS 2018: 9735-9747 - [i1]Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush:
Latent Alignment and Variational Attention. CoRR abs/1807.03756 (2018) - 2015
- [c6]Justin T. Chiu, Yajie Miao, Alan W. Black, Alexander I. Rudnicky:
Distributed representation-based spoken word sense induction. INTERSPEECH 2015: 1358-1362 - 2014
- [c5]Justin T. Chiu, Yun Wang, Jan Trmal, Daniel Povey, Guoguo Chen, Alexander I. Rudnicky:
Combination of FST and CN search in spoken term detection. INTERSPEECH 2014: 2784-2788 - [c4]Justin T. Chiu, Alexander I. Rudnicky:
LACS System Analysis on Retrieval Models for the MediaEval 2014 Search and Hyperlinking Task. MediaEval 2014 - 2013
- [c3]Aren Jansen, Emmanuel Dupoux, Sharon Goldwater, Mark Johnson, Sanjeev Khudanpur, Kenneth Church, Naomi Feldman, Hynek Hermansky, Florian Metze, Richard C. Rose, Mike Seltzer, Pascal Clark, Ian McGraw, Balakrishnan Varadarajan, Erin Bennett, Benjamin Börschinger, Justin T. Chiu, Ewan Dunbar, Abdellah Fourtassi, David Harwath, Chia-ying Lee, Keith D. Levin, Atta Norouzian, Vijayaditya Peddinti, Rachael Richardson, Thomas Schatz, Samuel Thomas:
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. ICASSP 2013: 8111-8115 - [c2]Justin T. Chiu, Alexander I. Rudnicky:
Using conversational word bursts in spoken term detection. INTERSPEECH 2013: 2247-2251 - [c1]Sunayana Sitaram, Gopala Krishna Anumanchipalli, Justin T. Chiu, Alok Parlikar, Alan W. Black:
Text to speech in new languages without a standardized orthography. SSW 2013: 95-100
Coauthor Index
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last updated on 2025-12-08 10:02 CET by the dblp team
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