1 citations · 2 across the 11 of their papers we have counts for
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GRRM: Group Relative Reward Modeling for Machine Translation
Sen Yang, Shanbo Cheng, Lu Xu +2
While Group Relative Policy Optimization (GRPO) offers a powerful framework for LLM post-training, its effectiveness in open-ended domains like Machine Translation hinges on accura…
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters
Shanbo Cheng, Yu Bao, Qian Cao +23
Multilingual translation stands as a challenging task for large language models (LLMs) to handle intricate language patterns and stilted translations that arise in automated transl…
Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voice
Shanbo Cheng, Yu Bao, Zhichao Huang +25
Simultaneous Interpretation (SI) represents one of the most daunting frontiers in the translation industry, with product-level automatic systems long plagued by intractable challen…
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
Tianduo Wang, Lu Xu, Wei Lu +1
Recent advances in Automatic Speech Recognition (ASR) have been largely fueled by massive speech corpora. However, extending coverage to diverse languages with limited resources re…
Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent
Shanbo Cheng, Zhichao Huang, Tom Ko +4
In this paper, we present Cross Language Agent -- Simultaneous Interpretation, CLASI, a high-quality and human-like Simultaneous Speech Translation (SiST) System. Inspired by profe…
PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
Haochen Tan, Zhijiang Guo, Zhan Shi +8
Large Language Models (LLMs) have succeeded remarkably in understanding long-form contents. However, exploring their capability for generating long-form contents, such as reports a…