David Wan
15 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (34)
π€
Dynamic Duo
(12)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Natural Language Processing
(13)
Generation
(11)
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(7)
Applications
(7)
Deep Learning
(6)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(4)
Core Methods
(2)
Architectures
(1)
Models
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
abstractive summarization
(5)
text generation
(4)
machine translation
(3)
text summarization
(2)
question answering
(2)
extractive summarization
(2)
neural network
(2)
faithfulness evaluation
(2)
large language model
(2)
natural language inference
(2)
visual reasoning
(1)
summarization evaluation
(1)
speech recognition
(1)
coreference resolution
(1)
constrained generation
(1)
multimodal reasoning
(1)
factuality evaluation
(1)
language generation
(1)
visual prompt
(1)
decoding strategy
(1)
Papers
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning
EACL 2026
PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
ACL 2026
LAQuer: Localized Attribution Queries in Content-grounded Generation
ACL 2025
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
NAACL 2025
On Positional Bias of Faithfulness for Long-form Summarization
NAACL 2025
ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization
ACL 2024
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
ECCV 2024
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization
ACL 2023
Faithfulness-Aware Decoding Strategies for Abstractive Summarization
EACL 2023
HistAlign: Improving Context Dependency in Language Generation by Aligning with History
EMNLP 2023
Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization
COLING 2022
Evaluating and Improving Factuality in Multimodal Abstractive Summarization
EMNLP 2022
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
NAACL 2022
Segmenting Subtitles for Correcting ASR Segmentation Errors
EACL 2021
Incorporating Terminology Constraints in Automatic Post-Editing
EMNLP 2020