Papers by Md Imbesat Rizvi
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models (2024.acl-long)
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| Challenge: | Existing large language models (LLMs) do not perform well on the datasets. |
| Approach: | They propose to use a Spatial Reasoning Characterization framework and a spatial reasoning path framework to study spatial reasoning. |
| Outcome: | The proposed framework and datasets outperform state-of-the-art models in spatial reasoning. |
MIMICause: Representation and automatic extraction of causal relation types from clinical notes (2022.findings-acl)
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| Challenge: | Extracted causal information from clinical notes can be combined with structured EHR data such as demographics, diagnoses, and medications. |
| Approach: | They propose to annotate clinical notes and develop an annotated corpus and provide baseline scores to identify types and direction of causal relations between a pair of biomedical concepts. |
| Outcome: | The proposed annotation guidelines achieved a high inter-annotator agreement and a macro F1 score on the clinical text. |