Papers by Jaeheon Lee
MemeInterpret: Towards an All-in-One Dataset for Meme Understanding (2025.findings-emnlp)
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Jeongsik Park, Khoi P. N. Nguyen, Jihyung Park, Minseok Kim, Jaeheon Lee, Jae Won Choi, Kalyani Ganta, Phalgun Ashrit Kasu, Rohan Sarakinti, Sanjana Vipperla, Sai Sathanapalli, Nishan Vaghani, Vincent Ng
| Challenge: | Existing research has not explored meme captioning's decomposition into subtasks or its connections to other CMU tasks. |
| Approach: | a new meme corpus is built upon the Facebook Hateful Memes dataset . it contains meme captions, corresponding surface messages and relevant background knowledge . |
| Outcome: | a new corpus of meme captions and surface messages unifies three major categories of CMU tasks for the first time. |
FQ-Eval: Building Evaluation Dataset for User-centered Follow-up Question Generation (2025.emnlp-industry)
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| Challenge: | Existing studies focus on enhancing information-seeking or topical relevance, often missing how follow-up questions could satisfy users’ intrinsic needs and conversational goals. |
| Approach: | They propose a user-centered evaluation dataset for assessing follow-up question generation in chat-LLM services that incorporates realistic chat-llm usage scenarios and five distinct human-aligned criteria. |
| Outcome: | The proposed model captures human-aligned criteria for the evaluation of various models and services. |