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Yang-Yang Shi

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Preprint Sep 2026

SongCraft: Unified Song Generation and Editing with Reconstructive Learning

Song generation and editing have mostly been treated as separate tasks. Existing editing methods often require noise injection and regeneration or curated paired training data. We propose a unified approach for song generation and editing based on reconstructive pretraining, in which a model is trained to reconstruct a...

Hao-He Liu, Varun Nagaraja, Gaël Le Lan et al. · 0 citations
Preprint Aug 2026

Getting the Parameters Right: A Difficulty-Graded Benchmark and Probe-Guided Training for LLM Tool Calls

Large language model agents derive much of their capability from tool use. Existing research on tool use has largely focused on selecting the right tool and orchestrating the order of calls. However, correctly filling the parameters of a tool call is equally critical for successful execution and has received far less a...

Guoyao Yu, Xiaoqing Sun, Ziqi Huang et al. · 0 citations

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