| Enabling large language models to generate text with citations T Gao, H Yen, J Yu, D Chen arXiv preprint arXiv:2305.14627, 2023 | 239 | 2023 |
| Long-context language modeling with parallel context encoding H Yen, T Gao, D Chen arXiv preprint arXiv:2402.16617, 2024 | 28 | 2024 |
| How to Train Long-Context Language Models (Effectively) T Gao*, A Wettig*, H Yen, D Chen arXiv preprint arXiv:2410.02660, 2024 | 9 | 2024 |
| Bright: A realistic and challenging benchmark for reasoning-intensive retrieval H Su*, H Yen*, M Xia*, W Shi, N Muennighoff, H Wang, H Liu, Q Shi, ... arXiv preprint arXiv:2407.12883, 2024 | 8 | 2024 |
| Improving interpersonal communication by simulating audiences with language models R Liu, H Yen, R Marjieh, TL Griffiths, R Krishna arXiv preprint arXiv:2311.00687, 2023 | 8 | 2023 |
| HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly H Yen, T Gao, M Hou, K Ding, D Fleischer, P Izsak, M Wasserblat, D Chen arXiv preprint arXiv:2410.02694, 2024 | 6 | 2024 |
| MoQA: Benchmarking Multi-Type Open-Domain Question Answering H Yen, T Gao, J Lee, D Chen Proceedings of the Third DialDoc Workshop on Document-grounded Dialogue and …, 2023 | 2 | 2023 |
| LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation X Ye, F Yin, Y He, J Zhang, H Yen, T Gao, G Durrett, D Chen arXiv preprint arXiv:2501.05414, 2025 | | 2025 |
| How to Answer a Question? Rethinking Open-Domain Question Answering with Multi-Type Questions H Yen | | 2023 |
| When does Retrieval Work on Reasoning-Intense Tasks? Q Shi, H Yen, M Xia, S Yao, K Narasimhan, D Chen | | |
Danqi ChenPrinceton UniversityVerified email at cs.princeton.edu