1 citations · 1 across the 4 of their papers we have counts for
4 papers
Don't Peek at the Answer: Outcome-Masked Group Relative Policy Optimization for Label-Free RLVR
Yongshi Ye, Liang Zhang, Yidong Chen +2
Reinforcement Learning with Verifiable Rewards (RLVR) improves LLM reasoning but typically relies on ground-truth (GT) answers, limiting scalability. Voting-based label-free RLVR r…
Conditioned in Training, Dispensable at Inference: Typological Conditioning for Multilingual Speech Translation
Yu Pan, Tianjiao Zhang, Yang Hou +5
Multilingual speech translation frontends built on speech large language models typically condition on language identity, as a learned embedding or a prompted language name. Such a…
LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
Biao Fu, Minpeng Liao, Kai Fan +4
When the complete source sentence is provided, Large Language Models (LLMs) perform excellently in offline machine translation even with a simple prompt "Translate the following se…
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
Rui Zhao, Liang Zhang, Biao Fu +3
Sign language translation (SLT) aims to convert continuous sign language videos into textual sentences. As a typical multi-modal task, there exists an inherent modality gap between…