M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering.
Anand SubramanianViktor SchlegelAbhinav Ramesh KashyapThanh-Tung NguyenVijay Prakash DwivediStefan WinklerPublished in: ACL (Findings) (2024)
Keyphrases
- question answering
- language model
- passage retrieval
- information retrieval
- language modeling
- sentence retrieval
- document retrieval
- information extraction
- natural language processing
- reading comprehension
- probabilistic model
- n gram
- retrieval model
- query expansion
- natural language
- question classification
- named entities
- speech recognition
- knowledge representation
- cross language
- pseudo relevance feedback
- information retrieval systems
- test collection
- audio visual
- machine learning
- answer extraction
- semantic roles
- cross lingual
- precision and recall