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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

A unified probe-guided framework with two complementary approaches: probe-filtered bootstrapped training (PBT), which uses the probe to filter reliable self-generated calls for fine-tuning, and probe-guided reranking (PGR), which uses the probe to select better candidates during inference.

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

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