David Wan

According to our database, David Wan authored at least 26 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

MERRIN: A Benchmark for Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments.

Han Wang, David Wan, Hyunji Lee, Thinh Pham, Mikaela Cankosyan, Weiyuan Chen, Elias Stengel-Eskin, Tu Vu, Mohit Bansal

CoRR, April, 2026

Multimodal Fact-Level Attribution for Verifiable Reasoning.

David Wan, Han Wang, Ziyang Wang, Elias Stengel-Eskin, Hyunji Lee, Mohit Bansal

CoRR, February, 2026

Localizing Factual Inconsistencies in Attributable Text Generation.

Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan

Trans. Assoc. Comput. Linguistics, 2026

DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning.

Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise.

Sapir Harary, Eran Hirsch, Aviv Slobodkin, David Wan, Mohit Bansal, Ido Dagan

CoRR, November, 2025

GenerationPrograms: Fine-grained Attribution with Executable Programs.

David Wan, Eran Hirsch, Elias Stengel-Eskin, Ido Dagan, Mohit Bansal

CoRR, June, 2025

CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval.

David Wan, Han Wang, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal

CoRR, June, 2025

On Positional Bias of Faithfulness for Long-form Summarization.

David Wan, Jesse Vig, Mohit Bansal, Shafiq Joty

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration.

David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LAQuer: Localized Attribution Queries in Content-grounded Generation.

Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization.

Shiyue Zhang, David Wan, Arie Cattan, Ayal Klein, Ido Dagan, Mohit Bansal

CoRR, 2024

Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training.

David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal

Proceedings of the Computer Vision - ECCV 2024, 2024

ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization.

David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal, Ramakanth Pasunuru

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

HistAlign: Improving Context Dependency in Language Generation by Aligning with History.

David Wan, Shiyue Zhang, Mohit Bansal

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Faithfulness-Aware Decoding Strategies for Abstractive Summarization.

David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization.

Shiyue Zhang, David Wan, Mohit Bansal

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization.

David Wan, Mohit Bansal

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Evaluating and Improving Factuality in Multimodal Abstractive Summarization.

David Wan, Mohit Bansal

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization.

Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscáková, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas W. Oard, Kathleen R. McKeown

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Segmenting Subtitles for Correcting ASR Segmentation Errors.

David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuscáková, Elena Zotkina, Zhengping Jiang, Peter Bell, Kathleen R. McKeown

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines.

David Wan, Zhengping Jiang, Chris Kedzie, Elsbeth Turcan, Peter Bell, Kathleen R. McKeown

CoRR, 2020

Incorporating Terminology Constraints in Automatic Post-Editing.

David Wan, Chris Kedzie, Faisal Ladhak, Marine Carpuat, Kathleen R. McKeown

Proceedings of the Fifth Conference on Machine Translation, 2020

Subtitles to Segmentation: Improving Low-Resource Speech-to-TextTranslation Pipelines.

David Wan, Zhengping Jiang, Chris Kedzie, Elsbeth Turcan, Peter Bell, Kathy McKeown

Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech, 2020

2008

The cross-border shoppers' behaviour: the case of Singapore.

Tak Kee Hui, David Wan

Int. J. Data Anal. Tech. Strateg., 2008

2004

Intended Usage of Online Supermarkets: The Singapore Case.

Hui Tak Kee, David Wan

Proceedings of the Fourth International Conference on Electronic Business, 2004

Internet Shopping Behavior among Singaporeans: Gender and Educational Issues.

Hui Tak Kee, David Wan

Proceedings of the Fourth International Conference on Electronic Business, 2004