Mirac Suzgun

According to our database, Mirac Suzgun authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding.

Mirac Suzgun, Adam Tauman Kalai

CoRR, 2024

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models.

Matthew Dahl, Varun Magesh, Mirac Suzgun, Daniel E. Ho

CoRR, 2024

Do Language Models Know When They're Hallucinating References?

Ayush Agrawal, Mirac Suzgun, Lester Mackey, Adam Kalai

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

A Benchmark for Learning to Translate a New Language from One Grammar Book.

Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi

CoRR, 2023

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions.

Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou

CoRR, 2023

string2string: A Modern Python Library for String-to-String Algorithms.

Mirac Suzgun, Stuart M. Shieber, Dan Jurafsky

CoRR, 2023

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications.

Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language models are multilingual chain-of-thought reasoners.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization.

Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

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

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

Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding.

Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky

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

2022

Holistic Evaluation of Language Models.

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

CoRR, 2022

Scaling Instruction-Finetuned Language Models.

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

CoRR, 2022

Monte Carlo Tree Search for Interpreting Stress in Natural Language.

Kyle Swanson, Joy Hsu, Mirac Suzgun

Proceedings of the Second Workshop on Language Technology for Equality, 2022

Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models.

Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2019

Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages.

Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber

CoRR, 2019

LSTM Networks Can Perform Dynamic Counting.

Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber

CoRR, 2019

2018

On Evaluating the Generalization of LSTM Models in Formal Languages.

Mirac Suzgun, Yonatan Belinkov, Stuart M. Shieber

CoRR, 2018