1 citations · 2 across the 4 of their papers we have counts for
4 papers
DARL: Encouraging Diverse Answers for General Reasoning without Verifiers
Chongxuan Huang, Lei Lin, Xiaodong Shi +2
Reinforcement Learning with Verifiable Rewards (RLVR) has demonstrated promising gains in enhancing the reasoning capabilities of large language models. However, its dependence on…
Layer-wise Representation Fusion for Compositional Generalization
Yafang Zheng, Lei Lin, Shuangtao Li +6
Existing neural models are demonstrated to struggle with compositional generalization (CG), i.e., the ability to systematically generalize to unseen compositions of seen components…
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
Lei Lin, Shuangtao Li, Yafang Zheng +4
Recent studies have shown that sequence-to-sequence (seq2seq) models struggle with compositional generalization (CG), i.e., the ability to systematically generalize to unseen compo…
LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translation
Lei Lin, Shuangtao Li, Xiaodong Shi
Simultaneous machine translation, which aims at a real-time translation, is useful in many live scenarios but very challenging due to the trade-off between accuracy and latency. To…