Large Language Model
Instruction Tuning Large Language Models to Understand Electronic Health Records
This dataset covers various topics and is suitable for instruction-tuning general-purpose LLMs for diverse clinical use cases.
Instruction Tuning Large Language Models to Understand Electronic Health Records
This dataset covers various topics and is suitable for instruction-tuning general-purpose LLMs for diverse clinical use cases.
What Rotary Position Embedding Can T ell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
Transformer-based large language models (LLMs) have successfully handled various tasks.
Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
However, this assumption has not been rigorously studied in the literature.
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
GPUs remains a significant challenge.
A Foundation Model for Zero-shot Logical Query Reasoning
Work done during the internship at Intel.
