Liangying Shao

most citedMarco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models

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cs.CL2026

Qwen-MT-Lumen at WMT2026: Instruction-Specialized Translation via Quality-Aware Training and On-Policy Distillation

Hao Wang, Yangyang Liu, Xiaohu Zhao +11

We present Lumen, The open-source model is available at, our submission to the WMT 2026 General Machine Translation Shared Task. We focus on instruction-specialized translation, wh…

cs.CL2025

$M^{2} P O$ : Multi-Perspective Multi-Pair Preference Optimization for Machine Translation

Hao Wang, Linlong Xu, Heng Liu +11

Aligning Large Language Models (LLMs) with human preferences is pivotal for Machine Translation (MT), yet current approaches are often hindered by misleading reward signals. Our an…

Qwen-MT-Lumen at WMT2026: Instruction-Specialized Translation via Quality-Aware Training and On-Policy Distillation

M2PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation

$M^{2} P O$ : Multi-Perspective Multi-Pair Preference Optimization for Machine Translation