Papers by Jirayu Burapacheep
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models (2025.emnlp-main)
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Sina Semnani, Jirayu Burapacheep, Arpandeep Khatua, Thanawan Atchariyachanvanit, Zheng Wang, Monica Lam
| Challenge: | a new study examines the accuracy of Wikipedia's factual inconsistencies . a corpus-level inconsistent detection system can help editors identify inconsistances . |
| Approach: | They propose a corpus-level inconsistency detection system that combines LLM reasoning with retrieval to detect and contextualize potential contradictions for human review. |
| Outcome: | The proposed system can detect inconsistencies in Wikipedia and human review. |
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation (2024.findings-acl)
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| Challenge: | Recent work reveals that vision and language models struggle to comprehend fine grained distinctions in images. |
| Approach: | They propose a dataset to assess multimodal models' ability to match objects with their colors. |
| Outcome: | The proposed model performs well in visual questionanswering, text-to-image generation and word-order understanding tasks. |