| FactPEGASUS: Factuality-aware pre-training and fine-tuning for abstractive summarization D Wan, M Bansal arXiv preprint arXiv:2205.07830, 2022 | 85 | 2022 |
| Contrastive region guidance: Improving grounding in vision-language models without training D Wan, J Cho, E Stengel-Eskin, M Bansal European Conference on Computer Vision, 198-215, 2024 | 62 | 2024 |
| Faithfulness-aware decoding strategies for abstractive summarization D Wan, M Liu, K McKeown, M Dreyer, M Bansal arXiv preprint arXiv:2303.03278, 2023 | 54 | 2023 |
| Extractive is not faithful: An investigation of broad unfaithfulness problems in extractive summarization S Zhang, D Wan, M Bansal Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 43 | 2023 |
| ACUEval: Fine-grained hallucination evaluation and correction for abstractive summarization D Wan, K Sinha, S Iyer, A Celikyilmaz, M Bansal, R Pasunuru Findings of the Association for Computational Linguistics ACL 2024, 10036-10056, 2024 | 21 | 2024 |
| On positional bias of faithfulness for long-form summarization D Wan, J Vig, M Bansal, S Joty Proceedings of the 2025 Conference of the Nations of the Americas Chapter of …, 2025 | 17 | 2025 |
| Evaluating and improving factuality in multimodal abstractive summarization D Wan, M Bansal arXiv preprint arXiv:2211.02580, 2022 | 16 | 2022 |
| Incorporating terminology constraints in automatic post-editing D Wan, C Kedzie, F Ladhak, M Carpuat, K McKeown arXiv preprint arXiv:2010.09608, 2020 | 12 | 2020 |
| Localizing factual inconsistencies in attributable text generation A Cattan, P Roit, S Zhang, D Wan, R Aharoni, I Szpektor, M Bansal, ... Transactions of the Association for Computational Linguistics 14, 100-123, 2026 | 10 | 2026 |
| Histalign: Improving context dependency in language generation by aligning with history D Wan, S Zhang, M Bansal arXiv preprint arXiv:2305.04782, 2023 | 9 | 2023 |
| MAMM-refine: A recipe for improving faithfulness in generation with multi-agent collaboration D Wan, J Chen, E Stengel-Eskin, M Bansal Proceedings of the 2025 Conference of the Nations of the Americas Chapter of …, 2025 | 7 | 2025 |
| LAQuer: Localized Attribution Queries in Content-grounded Generation E Hirsch, A Slobodkin, D Wan, E Stengel-Eskin, M Bansal, I Dagan arXiv preprint arXiv:2506.01187, 2025 | 6 | 2025 |
| Segmenting subtitles for correcting ASR segmentation errors D Wan, C Kedzie, F Ladhak, E Turcan, P Galuščáková, E Zotkina, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 5 | 2021 |
| Constrained regeneration for cross-lingual query-focused extractive summarization E Turcan, D Wan, F Ladhak, P Galuščáková, S Sen, S Tchistiakova, W Xu, ... Proceedings of the 29th International Conference on Computational …, 2022 | 4 | 2022 |
| Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines D Wan, ZP Jiang, C Kedzie, E Turcan, P Bell, K McKeown Proceedings of the workshop on Cross-Language Search and Summarization of …, 2020 | 4 | 2020 |
| QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization S Zhang, D Wan, A Cattan, A Klein, I Dagan, M Bansal arXiv preprint arXiv:2412.07096, 2024 | 3 | 2024 |
| CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval D Wan, H Wang, E Stengel-Eskin, J Cho, M Bansal arXiv preprint arXiv:2506.06144, 2025 | 2 | 2025 |
| System for Cross-Language Information Processing, Translation and Summarization (SCRIPTS) K Mckeown | 1 | 2021 |
| DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning N Sivakumaran, JCY Chen, D Wan, Y Zhang, J Yoon, E Stengel-Eskin, ... arXiv preprint arXiv:2512.07132, 2025 | | 2025 |
| PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise S Harary, E Hirsch, A Slobodkin, D Wan, M Bansal, I Dagan arXiv preprint arXiv:2511.01359, 2025 | | 2025 |
