A new benchmark and metric show that large language models still struggle to call tools when the needed details are scattered across multi-party, multi-round group dialogues.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues
A new benchmark and metric show that large language models still struggle to call tools when the needed details are scattered across multi-party, multi-round group dialogues.