Runlin Liu — accepted AI-conference papers

2026

Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction

Zhe Zhang, Runlin Liu, Aishan Liu, Xingyu Liu, Xiang Gao, Hailong Sun

ICLR 2026poster

The evaluation of code-generating Large Language Models (LLMs) is fundamentally constrained by two intertwined challenges: a reliance on static, easily contaminated problem sources and the use of superficial, low-rigor testing. This paper introduces a new benchmark construction philosophy, Dual Scal…

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2024

Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation

Songju Lei, Xize Cheng, Mengjiao Lyu, Jianqiao Hu, Jintao Tan, Runlin Liu +4

ACL 2024long

In the field of speech synthesis, there is a growing emphasis on employing multimodal speech to enhance robustness. A key challenge in this area is the scarcity of datasets that pair audio with corresponding video. We employ a methodology that incorporates modality alignment during the pre-training…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗