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Baolong Bi

2 papers indexed

arxivcs.SDcs.AI2026-07-22

Audio-Zero: Label-Free Self-Evolution for Fine-Grained Audio Reasoning

Siqian Tong, Xuan Li, Chaozhuo Li, Baolong Bi, Yiwei Wang, Yujun Cai, et al.

Large Audio Language models (LALMs) have made rapid progress on acoustic understanding, yet they still struggle with fine-grained audio reasoning (e.g., recognizing event order, repetitions and duration). Existing post-training methods heavily rely on expensive external labels or…

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arxivcs.CLcs.LG2026-07-06

LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure

Yueyang Wang, Baolong Bi, Shuo Lu, Jingyuan Zhang, Jiajun Shi

Supervised fine-tuning (SFT) is the standard approach for adapting pretrained language models to downstream domains, yet it often improves target-domain behavior at the cost of degrading pre-existing capabilities. Standard cross-entropy fine-tuning promotes only the observed labe…

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