| Swe-bench: Can language models resolve real-world github issues? CE Jimenez, J Yang, A Wettig, S Yao, K Pei, O Press, K Narasimhan arXiv preprint arXiv:2310.06770, 2023 | 1472 | 2023 |
| Swe-agent: Agent-computer interfaces enable automated software engineering J Yang, CE Jimenez, A Wettig, K Lieret, S Yao, K Narasimhan, O Press Advances in Neural Information Processing Systems 37, 50528-50652, 2024 | 735 | 2024 |
| Swe-bench multimodal: Do ai systems generalize to visual software domains? J Yang, CE Jimenez, AL Zhang, K Lieret, J Yang, X Wu, O Press, ... arXiv preprint arXiv:2410.03859, 2024 | 93 | 2024 |
| Swe-bench: Can language models resolve real-world github issues?, 2024 CE Jimenez, J Yang, A Wettig, S Yao, K Pei, O Press, K Narasimhan URL https://arxiv. org/abs/2310.06770 7, 2023 | 85 | 2023 |
| Swe-smith: Scaling data for software engineering agents J Yang, K Lieret, CE Jimenez, A Wettig, K Khandpur, Y Zhang, B Hui, ... arXiv preprint arXiv:2504.21798, 2025 | 73 | 2025 |
| C-STS: Conditional semantic textual similarity A Deshpande, C Jimenez, H Chen, V Murahari, V Graf, T Rajpurohit, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 42 | 2023 |
| Introducing swe-bench verified N Chowdhury, J Aung, CJ Shern, O Jaffe, D Sherburn, G Starace, E Mays, ... arXiv preprint arXiv:2407.01489, 2024 | 38 | 2024 |
| Datamux: Data multiplexing for neural networks V Murahari, C Jimenez, R Yang, K Narasimhan Advances in Neural Information Processing Systems 35, 17515-17527, 2022 | 29 | 2022 |
| CARETS: A consistency and robustness evaluative test suite for VQA CE Jimenez, O Russakovsky, K Narasimhan arXiv preprint arXiv:2203.07613, 2022 | 20 | 2022 |
| Introducing swe-bench verified, 2024 N Chowdhury, J Aung, CJ Shern, O Jaffe, D Sherburn, G Starace, E Mays, ... URL https://openai. com/index/introducing-swe-bench-verified, 2024 | 19 | 2024 |
| Enigma: Enhanced interactive generative model agent for ctf challenges T Abramovich, M Udeshi, M Shao, K Lieret, H Xi, K Milner, S Jancheska, ... arXiv preprint arXiv:2409.16165, 2024 | 11 | 2024 |
| Mux-plms: Pre-training language models with data multiplexing V Murahari, A Deshpande, C Jimenez, I Shafran, M Wang, Y Cao, ... Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP …, 2023 | 8 | 2023 |
| Swe-bench: Can language models resolve real-world github issues? CoRR, abs/2310.06770, 2023. doi: 10.48550 CE Jimenez, J Yang, A Wettig, S Yao, K Pei, O Press, K Narasimhan arXiv preprint ARXIV.2310.06770 10, 0 | 8 | |
| When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Q Shi, CE Jimenez, S Yao, N Haber, D Yang, K Narasimhan arXiv preprint arXiv:2506.05579, 2025 | 4 | 2025 |
| Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities T Abramovich, M Udeshi, M Shao, K Lieret, H Xi, K Milner, S Jancheska, ... arXiv preprint arXiv:2409.16165, 2024 | 3 | 2024 |
| Mux-plms: Data multiplexing for high-throughput language models V Murahari, A Deshpande, C Jimenez, I Shafran, M Wang, Y Cao, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 4540-4554, 2023 | 3 | 2023 |
| EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities T Abramovich, M Udeshi, M Shao, K Lieret, H Xi, K Milner, S Jancheska, ... Forty-second International Conference on Machine Learning, 0 | 2 | |
| CodeClash: Benchmarking Goal-Oriented Software Engineering J Yang, K Lieret, J Yang, CE Jimenez, O Press, L Schmidt, D Yang arXiv preprint arXiv:2511.00839, 2025 | 1 | 2025 |
| IMPersona: Evaluating Individual Level LM Impersonation Q Shi, CE Jimenez, S Dong, B Seo, C Yao, A Kelch, K Narasimhan arXiv preprint arXiv:2504.04332, 2025 | 1 | 2025 |
| Learning physical commonsense knowledge CE Jimenez | 1 | 2020 |
Karthik NarasimhanAssociate Professor, Princeton UniversityVerified email at princeton.edu
