TRAIL couples LLM reasoning with on-the-fly KG insertion and pruning, showing accuracy gains on two of five medical QA benchmarks, with a 3% to 13% improvement claim that overstates the results.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
TRAIL: Joint Inference and Refinement of Knowledge Graphs with Large Language Models
TRAIL couples LLM reasoning with on-the-fly KG insertion and pruning, showing accuracy gains on two of five medical QA benchmarks, with a 3% to 13% improvement claim that overstates the results.