6 papers
HY-MT1.5 Technical Report
Mao Zheng, Zheng Li, Tao Chen +2
In this report, we introduce our latest translation models, HY-MT1.5-1.8B and HY-MT1.5-7B, a new family of machine translation models developed through a holistic training framewor…
Hunyuan-MT Technical Report
Mao Zheng, Zheng Li, Bingxin Qu +4
In this report, we introduce Hunyuan-MT-7B, our first open-source multilingual translation model, which supports bidirectional translation across 33 major languages and places a sp…
TAT-R1: Terminology-Aware Translation with Reinforcement Learning and Word Alignment
Zheng Li, Mao Zheng, Mingyang Song +1
Recently, deep reasoning large language models(LLMs) like DeepSeek-R1 have made significant progress in tasks such as mathematics and coding. Inspired by this, several studies have…
SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
Wenjie Yang, Mao Zheng, Mingyang Song +2
Large language models (LLMs) have recently demonstrated remarkable capabilities in machine translation (MT). However, most advanced MT-specific LLMs heavily rely on external superv…
FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models
Mingyang Song, Mao Zheng, Zheng Li +4
Improving training efficiency continues to be one of the primary challenges in large-scale Reinforcement Learning (RL). In this paper, we investigate how context length and the com…
MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning
Zheng Li, Yang Du, Mao Zheng +1
Extensive research has been conducted to explore the capability of Large Language Models (LLMs) for table reasoning and has significantly improved the performance on existing bench…