A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. - Aren Jansen; Emmanuel Dupoux; Sharon Goldwater; Mark Johnson 001; Sanjeev Khudanpur; Kenneth Church 001; Naomi Feldman; Hynek Hermansky; Florian Metze; Richard C. Rose; Mike Seltzer; Pascal Clark; et al. (ICASSP, 2013)

Using conversational word bursts in spoken term detection. - Justin T. Chiu; Alexander I. Rudnicky (INTERSPEECH, 2013)

Text to speech in new languages without a standardized orthography. - Sunayana Sitaram; Gopala Krishna Anumanchipalli; Justin T. Chiu; Alok Parlikar; Alan W. Black (SSW, 2013)

Combination of FST and CN search in spoken term detection. - Justin T. Chiu; Yun Wang; Jan Trmal; Daniel Povey; Guoguo Chen; Alexander I. Rudnicky (INTERSPEECH, 2014)

LACS System Analysis on Retrieval Models for the MediaEval 2014 Search and Hyperlinking Task. - Justin T. Chiu; Alexander I. Rudnicky (MediaEval, 2014)

Distributed representation-based spoken word sense induction. - Justin T. Chiu; Yajie Miao; Alan W. Black; Alexander I. Rudnicky (INTERSPEECH, 2015)

Latent Alignment and Variational Attention. - Yuntian Deng; Yoon Kim; Justin T. Chiu; Demi Guo; Alexander M. Rush (NeurIPS, 2018)

Tensor Variable Elimination for Plated Factor Graphs. - Fritz Obermeyer; Eli Bingham; Martin Jankowiak; Neeraj Pradhan; Justin T. Chiu; Alexander M. Rush; Noah D. Goodman (ICML, 2019)

Scaling Hidden Markov Language Models. - Justin T. Chiu; Alexander M. Rush (EMNLP (1), 2020)

Reference-Centric Models for Grounded Collaborative Dialogue. - Daniel Fried; Justin T. Chiu; Dan Klein 001 (EMNLP (1), 2021)

Low-Rank Constraints for Fast Inference in Structured Models. - Justin T. Chiu; Yuntian Deng; Alexander M. Rush (NeurIPS, 2021)

Unsupervised Text Deidentification. - John X. Morris; Justin T. Chiu; Ramin Zabih; Alexander M. Rush (EMNLP (Findings), 2022)

Teal: Learning-Accelerated Optimization of Traffic Engineering. - Zhiying Xu; Francis Y. Yan; Rachee Singh; Justin T. Chiu; Alexander M. Rush; Minlan Yu (CoRR, 2022)

Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. - Wenting Zhao; Justin T. Chiu; Claire Cardie; Alexander M. Rush (ACL (1), 2023)

Symbolic Planning and Code Generation for Grounded Dialogue. - Justin T. Chiu; Wenting Zhao; Derek Chen; Saujas Vaduguru; Alexander M. Rush; Daniel Fried (EMNLP, 2023)

Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision. - Wenting Zhao; Justin T. Chiu; Claire Cardie; Alexander M. Rush (EMNLP, 2023)

Teal: Learning-Accelerated Optimization of WAN Traffic Engineering. - Zhiying Xu; Francis Y. Yan; Rachee Singh; Justin T. Chiu; Alexander M. Rush; Minlan Yu (SIGCOMM, 2023)

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. - Jing Nathan Yan; Tianqi Liu 002; Justin T. Chiu; Jiaming Shen; Zhen Qin 001; Yue Yu 001; Yao Zhao; Charu Lakshmanan; Yair Kurzion; Alexander M. Rush; Jialu Liu; Michael Bendersky (CoRR, 2023)

Predicting Text Preference Via Structured Comparative Reasoning. - Jing Nathan Yan; Tianqi Liu 002; Justin T. Chiu; Jiaming Shen; Zhen Qin 001; Yue Yu 001; Charumathi Lakshmanan; Yair Kurzion; Alexander M. Rush; Jialu Liu; Michael Bendersky (ACL (1), 2024)

Language Model Inversion. - John X. Morris; Wenting Zhao; Justin T. Chiu; Vitaly Shmatikov; Alexander M. Rush (ICLR, 2024)

Asking More Informative Questions for Grounded Retrieval. - Sedrick Keh; Justin T. Chiu; Daniel Fried (NAACL-HLT (Findings), 2024)

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. - Wenting Zhao; Justin T. Chiu; Jena D. Hwang; Faeze Brahman; Jack Hessel; Sanjiban Choudhury; Yejin Choi 001; Xiang Li 069; Alane Suhr (NAACL-HLT, 2024)

Simple and Effective Masked Diffusion Language Models. - Subham S. Sahoo; Marianne Arriola; Yair Schiff; Aaron Gokaslan; Edgar Marroquin; Justin T. Chiu; Alexander Rush; Volodymyr Kuleshov (NeurIPS, 2024)

Simple and Effective Masked Diffusion Language Models. - Subham Sekhar Sahoo; Marianne Arriola; Yair Schiff; Aaron Gokaslan; Edgar Marroquin; Justin T. Chiu; Alexander M. Rush; Volodymyr Kuleshov (CoRR, 2024)

A Controlled Study on Long Context Extension and Generalization in LLMs. - Yi Lu; Jing Nathan Yan; Songlin Yang; Justin T. Chiu; Siyu Ren; Fei Yuan 006; Wenting Zhao; Zhiyong Wu 003; Alexander M. Rush (CoRR, 2024)

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models. - Marianne Arriola; Aaron Gokaslan; Justin T. Chiu; Zhihan Yang; Zhixuan Qi; Jiaqi Han; Subham Sekhar Sahoo; Volodymyr Kuleshov (ICLR, 2025)

Commit0: Library Generation from Scratch. - Wenting Zhao; Nan Jiang; Celine Lee; Justin T. Chiu; Claire Cardie; Matthias Gallé; Alexander M. Rush (ICLR, 2025)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

The Diffusion Duality. - Subham Sekhar Sahoo; Justin Deschenaux; Aaron Gokaslan; Guanghan Wang; Justin T. Chiu; Volodymyr Kuleshov (CoRR, 2025)

Refactoring Codebases through Library Design. - Ziga Kovacic; Celine Lee; Justin T. Chiu; Wenting Zhao; Kevin Ellis (CoRR, 2025)