Papers by Tomoki Doi
Topic Modeling for Short Texts with Large Language Models (2024.acl-srw)
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| Challenge: | Large Language Models (LLMs) can be used to solve topic modeling challenges for short texts by contextually learning the meanings of words. |
| Approach: | They propose two approaches to using Large Language Models (LLMs) for topic modeling: parallel prompting and sequential prompting. |
| Outcome: | The proposed methods identify more coherent topics than existing ones while maintaining the diversity of the induced topics. |
Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models (2026.acl-srw)
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| Challenge: | Existing studies have focused on the ability of vision-language models to utilize spatial deictic expressions, which depend on the situation of utterance. |
| Approach: | They develop a benchmark to evaluate the multilingual ability of VLMs to use spatial deictic expressions in four languages. |
| Outcome: | The proposed models use demonstratives in a different manner from humans, particularly in selecting demonstrative based on distance from the object. |