Endpoint-based chunking outperforms naive splitting for RAG-based endpoint discovery, and an LLM agent raises precision at the cost of recall, evaluated on a new multi-domain benchmark and RestBench.
Compositio Prompto: An architecture to employ large language models in automated service computing,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
extension 1
citation-polarity summary
fields
cs.SE 1years
2025 1verdicts
CONDITIONAL 1roles
extension 1polarities
extend 1representative citing papers
citing papers explorer
-
Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking
Endpoint-based chunking outperforms naive splitting for RAG-based endpoint discovery, and an LLM agent raises precision at the cost of recall, evaluated on a new multi-domain benchmark and RestBench.