Papers by Ruchira Dhar
Defining Knowledge: Bridging Epistemology and Large Language Models (2024.emnlp-main)
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| Challenge: | Existing literature on large language models (LLMs) define knowledge as a fact if it correctly completes a cloze sentence . but the predictions of semantically equivalent clozing sentences are inconsistent . |
| Approach: | They review standard definitions of knowledge in epistemology and formalize interpretations applicable to LLMs. |
| Outcome: | The authors compare the preferences of philosophers and computer scientists in terms of knowledge definitions and evaluation protocols for testing knowledge in accordance with the most relevant definitions. |
Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users (2025.acl-long)
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Antonia Karamolegkou, Malvina Nikandrou, Georgios Pantazopoulos, Danae Sanchez Villegas, Phillip Rust, Ruchira Dhar, Daniel Hershcovich, Anders Søgaard
| Challenge: | Despite high adoption rate of Large Language Models, there are limitations related to contextual understanding, cultural sensitivity, and complex scene understanding. |
| Approach: | They conduct a user survey to identify adoption patterns and key challenges users face with such technologies. |
| Outcome: | The proposed models have high adoption rates but still face limitations in visual aids. |