Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning. - Reid Pryzant; Stefano Ermon; David B. Lobell (CVPR Workshops, 2017)

Predicting Sales from the Language of Product Descriptions. - Reid Pryzant; Youngjoo Chung; Dan Jurafsky (eCOM@SIGIR, 2017)

Effective Domain Mixing for Neural Machine Translation. - Denny Britz; Quoc V. Le; Reid Pryzant (WMT, 2017)

JESC: Japanese-English Subtitle Corpus. - Reid Pryzant; Yongjoo Chung; Dan Jurafsky; Denny Britz (CoRR, 2017)

Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style. - Reid Pryzant; Sugato Basu; Kazoo Sone (BlackboxNLP@EMNLP, 2018)

JESC: Japanese-English Subtitle Corpus. - Reid Pryzant; Youngjoo Chung; Dan Jurafsky; Denny Britz (LREC, 2018)

Deconfounded Lexicon Induction for Interpretable Social Science. - Reid Pryzant; Kelly Shen; Dan Jurafsky; Stefan Wagner 015 (NAACL-HLT, 2018)

Automatically Neutralizing Subjective Bias in Text. - Reid Pryzant; Richard Diehl Martinez; Nathan Dass; Sadao Kurohashi; Dan Jurafsky; Diyi Yang (AAAI, 2020)

Causal Effects of Linguistic Properties. - Reid Pryzant; Dallas Card; Dan Jurafsky; Victor Veitch; Dhanya Sridhar (NAACL-HLT, 2021)

Natural language processing for computing the influence of language on perception and behavior. - Reid Pryzant (2021)

Automatic Rule Induction for Efficient Semi-Supervised Learning. - Reid Pryzant; Ziyi Yang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2022)

FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training. - Junyi Chai 003; Reid Pryzant; Victor Ye Dong; Konstantin Golobokov; Chenguang Zhu 001; Yi Liu (CoRR, 2022)

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. - Amir Feder; Katherine A. Keith; Emaad Manzoor; Reid Pryzant; Dhanya Sridhar; Zach Wood-Doughty; Jacob Eisenstein; Justin Grimmer; Roi Reichart; Margaret E. Roberts; Brandon M. Stewart; Victor Veitch; et al. (Trans. Assoc. Comput. Linguistics, 2022)

i-Code: An Integrative and Composable Multimodal Learning Framework. - Ziyi Yang; Yuwei Fang; Chenguang Zhu 001; Reid Pryzant; Dongdong Chen 001; Yu Shi 001; Yichong Xu; Yao Qian; Mei Gao; Yi-Ling Chen; Liyang Lu; Yujia Xie; et al. (AAAI, 2023)

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. - Soumya Sanyal 001; Yichong Xu; Shuohang Wang; Ziyi Yang; Reid Pryzant; Wenhao Yu 002; Chenguang Zhu 001; Xiang Ren 001 (ACL (1), 2023)

In-Context Demonstration Selection with Cross Entropy Difference. - Dan Iter; Reid Pryzant; Ruochen Xu; Shuohang Wang; Yang Liu; Yichong Xu; Chenguang Zhu 001 (EMNLP (Findings), 2023)

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. - Siru Ouyang; Shuohang Wang; Yang Liu; Ming Zhong 005; Yizhu Jiao; Dan Iter; Reid Pryzant; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (EMNLP, 2023)

Automatic Prompt Optimization with "Gradient Descent" and Beam Search. - Reid Pryzant; Dan Iter; Jerry Li 001; Yin Tat Lee; Chenguang Zhu 001; Michael Zeng 001 (EMNLP, 2023)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Mei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (CoRR, 2023)

i-Code Studio: A Configurable and Composable Framework for Integrative AI. - Yuwei Fang; Mahmoud Khademi; Chenguang Zhu 001; Ziyi Yang; Reid Pryzant; Yichong Xu; Yao Qian; Takuya Yoshioka; Lu Yuan; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2023)

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. - Siru Ouyang; Shuohang Wang; Yang Liu 124; Ming Zhong 005; Yizhu Jiao; Dan Iter; Reid Pryzant; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2023)

Prompt Engineering a Prompt Engineer. - Qinyuan Ye; Maxamed Axmed; Reid Pryzant; Fereshte Khani (CoRR, 2023)

Prompt Engineering a Prompt Engineer. - Qinyuan Ye; Mohamed Ahmed; Reid Pryzant; Fereshte Khani (ACL (Findings), 2024)

Soft convex quantization: revisiting Vector Quantization with convex optimization. - Tanmay Gautam; Reid Pryzant; Ziyi Yang; Chenguang Zhu; Somayeh Sojoudi (L4DC, 2024)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Xuemei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (NAACL-HLT (Findings), 2024)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)