Reid Pryzant

According to our database, Reid Pryzant authored at least 22 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Prompt Engineering a Prompt Engineer.

Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani

CoRR, 2023

Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization.

Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi

CoRR, 2023

i-Code Studio: A Configurable and Composable Framework for Integrative AI.

Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang

CoRR, 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, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

CoRR, 2023

Automatic Prompt Optimization with "Gradient Descent" and Beam Search.

Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions.

Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-Context Demonstration Selection with Cross Entropy Difference.

Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.

Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

i-Code: An Integrative and Composable Multimodal Learning Framework.

Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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, Diyi Yang

Trans. Assoc. Comput. Linguistics, 2022

FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training.

Junyi Chai, Reid Pryzant, Victor Ye Dong, Konstantin Golobokov, Chenguang Zhu, Yi Liu

CoRR, 2022

Automatic Rule Induction for Efficient Semi-Supervised Learning.

Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Natural language processing for computing the influence of language on perception and behavior.

Reid Pryzant

PhD thesis, 2021

Causal Effects of Linguistic Properties.

Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Automatically Neutralizing Subjective Bias in Text.

Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Deconfounded Lexicon Induction for Interpretable Social Science.

Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

JESC: Japanese-English Subtitle Corpus.

Reid Pryzant, Youngjoo Chung, Dan Jurafsky, Denny Britz

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style.

Reid Pryzant, Sugato Basu, Kazoo Sone

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017

JESC: Japanese-English Subtitle Corpus.

Reid Pryzant, Yongjoo Chung, Dan Jurafsky, Denny Britz

CoRR, 2017

Effective Domain Mixing for Neural Machine Translation.

Denny Britz, Quoc V. Le, Reid Pryzant

Proceedings of the Second Conference on Machine Translation, 2017

Predicting Sales from the Language of Product Descriptions.

Reid Pryzant, Youngjoo Chung, Dan Jurafsky

Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning.

Reid Pryzant, Stefano Ermon, David B. Lobell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017