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Mirac Suzgun
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2020 – today
- 2024
- [c8]Ayush Agrawal, Mirac Suzgun, Lester Mackey, Adam Kalai:
Do Language Models Know When They're Hallucinating References? EACL (Findings) 2024: 912-928 - [i16]Matthew Dahl, Varun Magesh, Mirac Suzgun, Daniel E. Ho:
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models. CoRR abs/2401.01301 (2024) - [i15]Mirac Suzgun, Adam Tauman Kalai:
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding. CoRR abs/2401.12954 (2024) - 2023
- [c7]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. ACL (Findings) 2023: 4265-4293 - [c6]Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei:
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. ACL (Findings) 2023: 13003-13051 - [c5]Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto:
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. EACL 2023: 3198-3211 - [c4]Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei:
Language models are multilingual chain-of-thought reasoners. ICLR 2023 - [c3]Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber:
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. NeurIPS 2023 - [i14]Mirac Suzgun, Stuart M. Shieber, Dan Jurafsky:
string2string: A Modern Python Library for String-to-String Algorithms. CoRR abs/2304.14395 (2023) - [i13]Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou:
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR abs/2309.07875 (2023) - [i12]Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi:
A Benchmark for Learning to Translate a New Language from One Grammar Book. CoRR abs/2309.16575 (2023) - 2022
- [c2]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. EMNLP 2022: 2195-2222 - [c1]Kyle Swanson, Joy Hsu, Mirac Suzgun:
Monte Carlo Tree Search for Interpreting Stress in Natural Language. LT-EDI 2022: 107-119 - [i11]Kyle Swanson, Joy Hsu, Mirac Suzgun:
Monte Carlo Tree Search for Interpreting Stress in Natural Language. CoRR abs/2204.08105 (2022) - [i10]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. CoRR abs/2205.11503 (2022) - [i9]Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber:
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. CoRR abs/2207.04043 (2022) - [i8]Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei:
Language Models are Multilingual Chain-of-Thought Reasoners. CoRR abs/2210.03057 (2022) - [i7]Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei:
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. CoRR abs/2210.09261 (2022) - [i6]Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei:
Scaling Instruction-Finetuned Language Models. CoRR abs/2210.11416 (2022) - [i5]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. CoRR abs/2211.07634 (2022) - [i4]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022)
2010 – 2019
- 2019
- [i3]Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber:
LSTM Networks Can Perform Dynamic Counting. CoRR abs/1906.03648 (2019) - [i2]Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber:
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages. CoRR abs/1911.03329 (2019) - 2018
- [i1]Mirac Suzgun, Yonatan Belinkov, Stuart M. Shieber:
On Evaluating the Generalization of LSTM Models in Formal Languages. CoRR abs/1811.01001 (2018)
Coauthor Index
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last updated on 2024-04-25 01:15 CEST by the dblp team
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