Reid Pryzant - RankMe

35 papers A* 4B 1Journal 16Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Prompt Engineering a Prompt Engineer. ACL (Findings) Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani
2024	—	`conf`	Soft convex quantization: revisiting Vector Quantization with convex optimization. L4DC Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
2024	—	`conf`	i-Code Studio: A Configurable and Composable Framework for Integrative AI. EMNLP (System Demonstrations) Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
2024	—	`conf`	i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. NAACL-HLT (Findings) Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Xuemei Gao, Yi-ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
2023	—	`conf`	APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2023	A*	`conf`	Automatic Prompt Optimization with "Gradient Descent" and Beam Search. EMNLP Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng
2023	J	`jnl`	Automatic Prompt Optimization with "Gradient Descent" and Beam Search. CoRR Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng
2023	—	`conf`	In-Context Demonstration Selection with Cross Entropy Difference. EMNLP (Findings) Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
2023	J	`jnl`	In-Context Demonstration Selection with Cross Entropy Difference. CoRR Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
2023	J	`jnl`	Prompt Engineering a Prompt Engineer. CoRR Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani
2023	J	`jnl`	Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization. CoRR Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
2023	A*	`conf`	The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
2023	J	`jnl`	The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. CoRR Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
2023	J	`jnl`	i-Code Studio: A Configurable and Composable Framework for Integrative AI. CoRR Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
2023	J	`jnl`	i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR 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
2023	A*	`conf`	i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI 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
2022	J	`jnl`	APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2022	—	`conf`	Automatic Rule Induction for Efficient Semi-Supervised Learning. EMNLP (Findings) Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
2022	J	`jnl`	Automatic Rule Induction for Efficient Semi-Supervised Learning. CoRR Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
2022	J	`jnl`	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 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
2022	J	`jnl`	FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training. CoRR Junyi Chai, Reid Pryzant, Victor Ye Dong, Konstantin Golobokov, Chenguang Zhu, Yi Liu
2022	J	`jnl`	i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR 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
2021	—	`conf`	Causal Effects of Linguistic Properties. NAACL-HLT Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
2021	J	`jnl`	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR 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
2021	—	`—`	Natural language processing for computing the influence of language on perception and behavior. Reid Pryzant
2020	A*	`conf`	Automatically Neutralizing Subjective Bias in Text. AAAI Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang
2020	J	`jnl`	Causal Effects of Linguistic Properties. CoRR Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
2019	J	`jnl`	Automatically Neutralizing Subjective Bias in Text. CoRR Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang
2018	—	`conf`	Deconfounded Lexicon Induction for Interpretable Social Science. NAACL-HLT Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner
2018	—	`conf`	Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style. BlackboxNLP@EMNLP Reid Pryzant, Sugato Basu, Kazoo Sone
2018	B	`conf`	JESC: Japanese-English Subtitle Corpus. LREC Reid Pryzant, Youngjoo Chung, Dan Jurafsky, Denny Britz
2017	—	`conf`	Effective Domain Mixing for Neural Machine Translation. WMT Denny Britz, Quoc V. Le, Reid Pryzant
2017	J	`jnl`	JESC: Japanese-English Subtitle Corpus. CoRR Reid Pryzant, Yongjoo Chung, Dan Jurafsky, Denny Britz
2017	—	`conf`	Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning. CVPR Workshops Reid Pryzant, Stefano Ermon, David B. Lobell
2017	—	`conf`	Predicting Sales from the Language of Product Descriptions. eCOM@SIGIR Reid Pryzant, Youngjoo Chung, Dan Jurafsky