Yi Ren

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective

2024 · arXiv (Cornell University)

With the widespread adoption of Large Language Models (LLMs), the prevalence of iterative interactions among these models is anticipated to increase. Notably, recent advancements in multi-round self-improving methods allow LLMs to generate new examples for …

RefXVC: Cross-Lingual Voice Conversion With Enhanced Reference Leveraging

2024 · IEEE/ACM Transactions on Audio Speech and Language Processing

This paper proposes RefXVC, a method for cross-lingual voice conversion (XVC) that leverages reference information to improve conversion performance. Previous XVC works generally take an average speaker embedding to condition the speaker identity, which does …

Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning

2025 · arXiv (Cornell University)

Reinforcement learning with verifiable rewards has significantly advanced the reasoning capabilities of large language models, yet how to explicitly steer training toward exploration or exploitation remains an open problem. We introduce Token Hidden Reward (THR), …

Multilingual Neural Machine Translation with Knowledge Distillation

2019 · arXiv (Cornell University)

Multilingual machine translation, which translates multiple languages with a single model, has attracted much attention due to its efficiency of offline training and online serving. However, traditional multilingual translation usually yields inferior accuracy compared with …