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2020 – today
- 2024
[c6]Alex Gu, Wen-Ding Li, Naman Jain, Theo Olausson, Celine Lee, Koushik Sen, Armando Solar-Lezama:
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? ACL (Findings) 2024: 74-117- [c5]Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas:
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. ICLR 2024 - [c4]Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama:
Is Self-Repair a Silver Bullet for Code Generation? ICLR 2024 - [i6]Alex Gu, Wen-Ding Li, Naman Jain, Theo X. Olausson, Celine Lee, Koushik Sen, Armando Solar-Lezama:
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? CoRR abs/2402.19475 (2024) - 2023
- [j2]Nicolai Oswald
, Vijay Nagarajan, Daniel J. Sorin, Vasilis Gavrielatos, Theo X. Olausson, Reece Carr:
HeteroGen: Automatic Synthesis of Heterogeneous Cache Coherence Protocols. IEEE Micro 43(4): 62-70 (2023) - [j1]Matthew Bowers, Theo X. Olausson, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama:
Top-Down Synthesis for Library Learning. Proc. ACM Program. Lang. 7(POPL): 1182-1213 (2023) - [c3]Theo Olausson, Alex Gu, Benjamin Lipkin, Cedegao E. Zhang, Armando Solar-Lezama, Joshua B. Tenenbaum, Roger Levy:
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. EMNLP 2023: 5153-5176 - [i5]Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama:
Demystifying GPT Self-Repair for Code Generation. CoRR abs/2306.09896 (2023) - [i4]Theo X. Olausson, Alex Gu, Benjamin Lipkin, Cedegao E. Zhang, Armando Solar-Lezama, Joshua B. Tenenbaum, Roger Levy:
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. CoRR abs/2310.15164 (2023) - [i3]Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas:
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. CoRR abs/2310.19791 (2023) - 2022
- [c2]Nicolai Oswald, Vijay Nagarajan, Daniel J. Sorin, Vasilis Gavrielatos, Theo Olausson, Reece Carr:
HeteroGen: Automatic Synthesis of Heterogeneous Cache Coherence Protocols. HPCA 2022: 756-771 - [i2]Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama:
Top-Down Synthesis for Library Learning. CoRR abs/2211.16605 (2022) - 2020
- [c1]Sebastian Müksch, Theo Olausson, John Wilhelm, Pavlos Andreadis:
Benchmarking the Accuracy of Algorithms for Memory-Constrained Image Classification. SEC 2020: 400-404 - [i1]Sebastian Müksch, Theo Olausson, John Wilhelm, Pavlos Andreadis:
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices. CoRR abs/2005.04968 (2020)
Coauthor Index
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