Reid Pryzant

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Vector Quantization

Natural Language Processing

Top Venues

Publications

Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR (2024)
Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani
Prompt Engineering a Prompt Engineer. ACL (Findings) (2024)
Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
Soft convex quantization: revisiting Vector Quantization with convex optimization. L4DC (2024)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) (2023)
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP (2023)
Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng
Automatic Prompt Optimization with "Gradient Descent" and Beam Search. CoRR (2023)
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. CoRR (2023)
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
In-Context Demonstration Selection with Cross Entropy Difference. CoRR (2023)
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
In-Context Demonstration Selection with Cross Entropy Difference. EMNLP (Findings) (2023)
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
i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI (2023)
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
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR (2023)
Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
i-Code Studio: A Configurable and Composable Framework for Integrative AI. CoRR (2023)
Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani
Prompt Engineering a Prompt Engineer. CoRR (2023)
Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng
Automatic Prompt Optimization with "Gradient Descent" and Beam Search. EMNLP (2023)
Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization. CoRR (2023)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR (2022)
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
i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR (2022)
Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
Automatic Rule Induction for Efficient Semi-Supervised Learning. EMNLP (Findings) (2022)
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
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10 (2022)
Junyi Chai, Reid Pryzant, Victor Ye Dong, Konstantin Golobokov, Chenguang Zhu, Yi Liu
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training. CoRR (2022)
Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
Automatic Rule Induction for Efficient Semi-Supervised Learning. CoRR (2022)
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
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR (2021)
Reid Pryzant
Repairing Pronouns in Translation with BERT-Based Post-Editing. CoRR (2021)
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
Causal Effects of Linguistic Properties. NAACL-HLT (2021)
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
Causal Effects of Linguistic Properties. CoRR (2020)
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang
Automatically Neutralizing Subjective Bias in Text. AAAI (2020)
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang
Automatically Neutralizing Subjective Bias in Text. CoRR (2019)
Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner
Deconfounded Lexicon Induction for Interpretable Social Science. NAACL-HLT (2018)
Reid Pryzant, Youngjoo Chung, Dan Jurafsky, Denny Britz
JESC: Japanese-English Subtitle Corpus. LREC (2018)
Reid Pryzant, Sugato Basu, Kazoo Sone
Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style. BlackboxNLP@EMNLP (2018)
Denny Britz, Quoc V. Le, Reid Pryzant
Effective Domain Mixing for Neural Machine Translation. WMT (2017)
Reid Pryzant, Youngjoo Chung, Dan Jurafsky
Predicting Sales from the Language of Product Descriptions. eCOM@SIGIR (2017)
Reid Pryzant, Yongjoo Chung, Dan Jurafsky, Denny Britz
JESC: Japanese-English Subtitle Corpus. CoRR (2017)
Reid Pryzant, Stefano Ermon, David B. Lobell
Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning. CVPR Workshops (2017)