DiscoverLLM introduces a hierarchical intent simulator that rewards LLMs for helping users concretize vague requests, yielding over 10% better task performance and up to 40% shorter conversations in creative writing, technical writing, and SVG drawing benchmarks plus higher satisfaction in a 75-part
If it is redundant, then you must explicitly include it in your request
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
DiscoverLLM: From Executing Intents to Discovering Them
DiscoverLLM introduces a hierarchical intent simulator that rewards LLMs for helping users concretize vague requests, yielding over 10% better task performance and up to 40% shorter conversations in creative writing, technical writing, and SVG drawing benchmarks plus higher satisfaction in a 75-part