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2020 – today
- 2024
[c17]Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani:
Prompt Engineering a Prompt Engineer. ACL (Findings) 2024: 355-385- [c16]Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi:
Soft convex quantization: revisiting Vector Quantization with convex optimization. L4DC 2024: 273-285 - [c15]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:
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. NAACL-HLT (Findings) 2024: 1615-1627 - [i16]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 abs/2404.14219 (2024) - 2023
- [c14]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: 10880-10890 - [c13]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: 6308-6321 - [c12]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: 1150-1162 - [c11]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: 2375-2393 - [c10]Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng:
Automatic Prompt Optimization with "Gradient Descent" and Beam Search. EMNLP 2023: 7957-7968 - [i15]Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng:
Automatic Prompt Optimization with "Gradient Descent" and Beam Search. CoRR abs/2305.03495 (2023) - [i14]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 abs/2305.12311 (2023) - [i13]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 abs/2305.13738 (2023) - [i12]Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu:
In-Context Demonstration Selection with Cross Entropy Difference. CoRR abs/2305.14726 (2023) - [i11]Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi:
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization. CoRR abs/2310.03004 (2023) - [i10]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 abs/2310.12418 (2023) - [i9]Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani:
Prompt Engineering a Prompt Engineer. CoRR abs/2311.05661 (2023) - 2022
- [j1]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: 1138-1158 (2022) - [c9]Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng:
Automatic Rule Induction for Efficient Semi-Supervised Learning. EMNLP (Findings) 2022: 28-44 - [i8]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 abs/2205.01818 (2022) - [i7]Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng:
Automatic Rule Induction for Efficient Semi-Supervised Learning. CoRR abs/2205.09067 (2022) - [i6]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 abs/2210.03167 (2022) - [i5]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 abs/2212.09282 (2022) - 2021
- [b1]Reid Pryzant:
Natural language processing for computing the influence of language on perception and behavior. Stanford University, USA, 2021 - [c8]Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar:
Causal Effects of Linguistic Properties. NAACL-HLT 2021: 4095-4109 - [i4]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 abs/2109.00725 (2021) - 2020
- [c7]Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. AAAI 2020: 480-489 - [i3]Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar:
Causal Effects of Linguistic Properties. CoRR abs/2010.12919 (2020)
2010 – 2019
- 2019
- [i2]Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. CoRR abs/1911.09709 (2019) - 2018
- [c6]Reid Pryzant, Sugato Basu, Kazoo Sone:
Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style. BlackboxNLP@EMNLP 2018: 125-135 - [c5]Reid Pryzant, Youngjoo Chung, Dan Jurafsky, Denny Britz:
JESC: Japanese-English Subtitle Corpus. LREC 2018 - [c4]Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner:
Deconfounded Lexicon Induction for Interpretable Social Science. NAACL-HLT 2018: 1615-1625 - 2017
- [c3]Reid Pryzant, Stefano Ermon, David B. Lobell:
Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning. CVPR Workshops 2017: 1524-1532 - [c2]Reid Pryzant, Youngjoo Chung, Dan Jurafsky:
Predicting Sales from the Language of Product Descriptions. eCOM@SIGIR 2017 - [c1]Denny Britz, Quoc V. Le, Reid Pryzant:
Effective Domain Mixing for Neural Machine Translation. WMT 2017: 118-126 - [i1]Reid Pryzant, Yongjoo Chung, Dan Jurafsky, Denny Britz:
JESC: Japanese-English Subtitle Corpus. CoRR abs/1710.10639 (2017)
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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