Internet Shopping Behavior among Singaporeans: Gender and Educational Issues. - Hui Tak Kee; David Wan (ICEB, 2004)

Intended Usage of Online Supermarkets: The Singapore Case. - Hui Tak Kee; David Wan (ICEB, 2004)

The cross-border shoppers' behaviour: the case of Singapore. - Tak Kee Hui; David Wan (Int. J. Data Anal. Tech. Strateg., 2008)

Subtitles to Segmentation: Improving Low-Resource Speech-to-TextTranslation Pipelines. - David Wan; Zhengping Jiang; Chris Kedzie; Elsbeth Turcan; Peter Bell 001; Kathy McKeown (CLSSTS@LREC, 2020)

Incorporating Terminology Constraints in Automatic Post-Editing. - David Wan; Chris Kedzie; Faisal Ladhak; Marine Carpuat; Kathleen R. McKeown (WMT@EMNLP, 2020)

Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines. - David Wan; Zhengping Jiang; Chris Kedzie; Elsbeth Turcan; Peter Bell 001; Kathleen R. McKeown (CoRR, 2020)

Segmenting Subtitles for Correcting ASR Segmentation Errors. - David Wan; Chris Kedzie; Faisal Ladhak; Elsbeth Turcan; Petra Galuscáková; Elena Zotkina; Zhengping Jiang; Peter Bell 001; Kathleen R. McKeown (EACL, 2021)

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 (COLING, 2022)

Evaluating and Improving Factuality in Multimodal Abstractive Summarization. - David Wan; Mohit Bansal (EMNLP, 2022)

FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization. - David Wan; Mohit Bansal (NAACL-HLT, 2022)

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. - Shiyue Zhang 001; David Wan; Mohit Bansal (ACL (1), 2023)

Faithfulness-Aware Decoding Strategies for Abstractive Summarization. - David Wan; Mengwen Liu; Kathleen R. McKeown; Markus Dreyer; Mohit Bansal (EACL, 2023)

HistAlign: Improving Context Dependency in Language Generation by Aligning with History. - David Wan; Shiyue Zhang 001; Mohit Bansal (EMNLP, 2023)

ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization. - David Wan; Koustuv Sinha; Srini Iyer 001; Asli Celikyilmaz; Mohit Bansal; Ramakanth Pasunuru (ACL (Findings), 2024)

Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training. - David Wan; Jaemin Cho 001; Elias Stengel-Eskin; Mohit Bansal (ECCV (79), 2024)

Localizing Factual Inconsistencies in Attributable Text Generation. - Arie Cattan; Paul Roit; Shiyue Zhang 001; David Wan; Roee Aharoni; Idan Szpektor; Mohit Bansal; Ido Dagan (CoRR, 2024)

QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization. - Shiyue Zhang 001; David Wan; Arie Cattan; Ayal Klein; Ido Dagan; Mohit Bansal (CoRR, 2024)

LAQuer: Localized Attribution Queries in Content-grounded Generation. - Eran Hirsch; Aviv Slobodkin; David Wan; Elias Stengel-Eskin; Mohit Bansal; Ido Dagan (ACL (1), 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 (NAACL (Long Papers), 2025)

On Positional Bias of Faithfulness for Long-form Summarization. - David Wan; Jesse Vig; Mohit Bansal; Shafiq Joty (NAACL (Long Papers), 2025)

CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval. - David Wan; Han Wang; Elias Stengel-Eskin; Jaemin Cho 001; Mohit Bansal (CoRR, 2025)

GenerationPrograms: Fine-grained Attribution with Executable Programs. - David Wan; Eran Hirsch; Elias Stengel-Eskin; Ido Dagan; Mohit Bansal (CoRR, 2025)