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arXiv NLP

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2h ago

What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through Conversationtranslating…

arXiv:2609.03254v1 Announce Type: new 
Abstract: Large Language Models (LLMs) often help users generate artifacts through iterative cycles of generation and revision in conversation. A challenge here is that, when users specify only a local change during revision, LLMs must…

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Keywords#Revision#Artifacts#Conversation#Through#Artifacts Generated

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What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through Conversation | Pulse Aggregator