FA-Bench is presented, an open framework that fixes choices once and releases the code, splits, phone mapping, text normalization and scoring script, with results published periodically, and discovered systematic bias in how current systems time words.
Wei Chu, Yuan-Zhe Dong, Ke Tan et al.· 0 citations
GAD-RL is introduced, which adaptively regulates teacher supervision during joint post-training according to the student's current task performance and local distributions, and weights forward KL by the student's probability of the teacher's Top-1 token, moderating local auxiliary updates when student support for that...
Bao-De Wang, Zu-Ming Huang, Ke Ren et al.· 0 citations
Forced alignment aligns speech audio with a text transcript to generate word and phone timestamps. Published comparisons normalize transcripts, split the data and match boundaries differently, so their numbers cannot be read together. We present FA-Bench, an open framework that fixes those choices once and releases the...
Wei Chu, Yuan-Zhe Dong, Ke Tan et al.· 0 citations
Domain experts trained from a shared checkpoint can transfer their specialized capabilities to a single student through on-policy distillation (OPD). Existing research primarily focuses on improving this merging process, while the algorithms used to train the experts have received limited systematic comparison. We inve...
Jing-Yuan Huang, Zu-Ming Huang, Yu-Cheng Shi et al.· 0 citations
This work presents Infinity-Parser2, a large multimodal model that couples a controllable data-synthesis pipeline with multi-task reinforcement learning for end-to-end document parsing, addressing the persistent scarcity of faithfully annotated parsing corpora.
Zuming Huang, Jun Huang, Kexuan Ren et al.· arXiv.org· 1 citation
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