Papers by Debanjana Kar
ArgGen: Prompting Text Generation Models for Document-Level Event-Argument Aggregation (2022.findings-aacl)
Copied to clipboard
| Challenge: | Existing discourse-level information extraction tasks are extractive in nature, but extracting information from larger bodies of discourse-like documents requires more natural language understanding and reasoning capabilities. |
| Approach: | They propose a conditional text generation approach which generates consolidated event-arguments at a document-level with minimal loss of information. |
| Outcome: | The proposed approach generates document-level argument spans in a low-resource and zero-shot setting and can be leveraged in other related multilingual text generation tasks. |
MathBuddy: A Multimodal System for Affective Math Tutoring (2025.emnlp-demos)
Copied to clipboard
Debanjana Kar, Leopold Böss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou
| Challenge: | Existing LLM-based conversational systems do not take into account the student’s affective states. |
| Approach: | They propose an emotionally aware LLM-powered math tutor that models student emotions and maps them to relevant pedagogical strategies. |
| Outcome: | The proposed model improves student engagement and learning effectiveness by 23 points using win rate and 3 points at an overall level using DAMR scores. |