PrimeKG
PulseAugur coverage of PrimeKG — every cluster mentioning PrimeKG across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
LLMs for Medical Q&A: New Reasoning Prompts and Knowledge-Graph Grounding Explored
Researchers are exploring methods to improve Large Language Models (LLMs) for open-ended medical question answering. One approach involves a Chain of Thought (CoT) reasoning prompt called CLINICR, which aims to mimic cl…
-
New temporal knowledge graph enhances LLM clinical reasoning
Researchers have developed ChronoMedKG, a novel biomedical knowledge graph that incorporates temporal information crucial for clinical reasoning. Unlike existing static KGs, ChronoMedKG links disease associations to spe…
-
New benchmark tests LLMs on mental health knowledge and reasoning
Researchers have developed MHGraphBench, a new benchmark designed to evaluate how well large language models understand and apply knowledge related to mental health. The benchmark uses a knowledge graph derived from Pri…
-
Quantum Knowledge Graph improves LLM reasoning with context-dependent validity
Researchers have introduced a "Quantum Knowledge Graph" (QKG) to address limitations in standard knowledge graphs used with large language models (LLMs). Unlike traditional graphs that assume global validity of relation…