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2020 – today
- 2024
- [c9]Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik R. Narasimhan:
SWE-bench: Can Language Models Resolve Real-world Github Issues? ICLR 2024 - [c8]Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith:
How Language Model Hallucinations Can Snowball. ICML 2024 - [i17]John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press:
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering. CoRR abs/2405.15793 (2024) - [i16]Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge:
CiteME: Can Language Models Accurately Cite Scientific Claims? CoRR abs/2407.12861 (2024) - [i15]Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng:
SciCode: A Research Coding Benchmark Curated by Scientists. CoRR abs/2407.13168 (2024) - [i14]Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant:
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? CoRR abs/2407.15711 (2024) - [i13]Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, Ofir Press:
EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges. CoRR abs/2409.16165 (2024) - 2023
- [c7]Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis:
Measuring and Narrowing the Compositionality Gap in Language Models. EMNLP (Findings) 2023: 5687-5711 - [i12]Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith:
How Language Model Hallucinations Can Snowball. CoRR abs/2305.13534 (2023) - [i11]Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan:
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? CoRR abs/2310.06770 (2023) - 2022
- [c6]Teven Le Scao, Thomas Wang, Daniel Hesslow, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy:
What Language Model to Train if You Have One Million GPU Hours? EMNLP (Findings) 2022: 765-782 - [c5]Adi Haviv, Ori Ram, Ofir Press, Peter Izsak, Omer Levy:
Transformer Language Models without Positional Encodings Still Learn Positional Information. EMNLP (Findings) 2022: 1382-1390 - [c4]Ofir Press, Noah A. Smith, Mike Lewis:
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. ICLR 2022 - [i10]Adi Haviv, Ori Ram, Ofir Press, Peter Izsak, Omer Levy:
Transformer Language Models without Positional Encodings Still Learn Positional Information. CoRR abs/2203.16634 (2022) - [i9]Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis:
Measuring and Narrowing the Compositionality Gap in Language Models. CoRR abs/2210.03350 (2022) - [i8]Teven Le Scao, Thomas Wang, Daniel Hesslow, Lucile Saulnier, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy:
What Language Model to Train if You Have One Million GPU Hours? CoRR abs/2210.15424 (2022) - 2021
- [c3]Ofir Press, Noah A. Smith, Mike Lewis:
Shortformer: Better Language Modeling using Shorter Inputs. ACL/IJCNLP (1) 2021: 5493-5505 - [i7]Ofir Press, Noah A. Smith, Mike Lewis:
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. CoRR abs/2108.12409 (2021) - 2020
- [c2]Ofir Press, Noah A. Smith, Omer Levy:
Improving Transformer Models by Reordering their Sublayers. ACL 2020: 2996-3005 - [i6]Ofir Press, Noah A. Smith, Mike Lewis:
Shortformer: Better Language Modeling using Shorter Inputs. CoRR abs/2012.15832 (2020)
2010 – 2019
- 2019
- [i5]Ofir Press:
Partially Shuffling the Training Data to Improve Language Models. CoRR abs/1903.04167 (2019) - [i4]Ofir Press, Noah A. Smith, Omer Levy:
Improving Transformer Models by Reordering their Sublayers. CoRR abs/1911.03864 (2019) - 2018
- [i3]Ofir Press, Noah A. Smith:
You May Not Need Attention. CoRR abs/1810.13409 (2018) - 2017
- [c1]Ofir Press, Lior Wolf:
Using the Output Embedding to Improve Language Models. EACL (2) 2017: 157-163 - [i2]Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf:
Language Generation with Recurrent Generative Adversarial Networks without Pre-training. CoRR abs/1706.01399 (2017) - 2016
- [i1]Ofir Press, Lior Wolf:
Using the Output Embedding to Improve Language Models. CoRR abs/1608.05859 (2016)
Coauthor Index
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