Papers by Chaitanya Shivade
Lessons from Natural Language Inference in the Clinical Domain (D18-1)
Copied to clipboard
| Challenge: | State of the art models with deep neural networks lack generalization capabilities in specialized domains where training data is limited. |
| Approach: | They propose a dataset annotated by doctors performing a natural language inference task grounded in the medical history of patients. |
| Outcome: | The proposed model outperforms existing models in the clinical domain by incorporating domain knowledge from external data and lexical sources. |
TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes (2025.acl-industry)
Copied to clipboard
| Challenge: | Behavioral therapy notes are important for legal compliance and patient care, but quality standards for them remain underdeveloped. |
| Approach: | They propose a rubric for evaluating therapy notes across key dimensions: completeness, conciseness, faithfulness. |
| Outcome: | The proposed evaluation framework improves on therapist-written notes and LLM-generated notes. |
Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation (2025.emnlp-industry)
Copied to clipboard
| Challenge: | Existing methods for clinical code verification fail to account for hierarchical misalignments . standardized coding systems such as ICD-10-CM1 ensure consistency across medical records. |
| Approach: | They propose to use prompt engineering and small-scale fine-tuning to improve accuracy without the computational overhead of search-based methods. |
| Outcome: | The proposed task is a standalone task and a pipeline component to address hierarchical near-miss errors without the computational overhead of search-based methods. |