collaborators

6 papers

cs.CL2026

JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese Large Language Models

Junyu Liu, Zirui Li, Qian Niu +7

As Large Language Models (LLMs) are increasingly deployed in healthcare field, it becomes essential to carefully evaluate their medical safety before clinical use. However, existin…

cs.AI2026

WMF-AM: Probing LLM Working Memory via Depth-Parameterized Cumulative State Tracking

Dengzhe Hou, Lingyu Jiang, Deng Li +3

Existing large language models (LLMs) evaluations use fixed-difficulty benchmarks that cannot adapt as models improve, and rarely isolate specific cognitive processes. We introduce…

cs.CV2026

Physics-Aware Video Instance Removal Benchmark

Zirui Li, Xinghao Chen, Lingyu Jiang +5

Video Instance Removal (VIR) requires removing target objects while maintaining background integrity and physical consistency, such as specular reflections and illumination interac…

cs.CV2026

Video Understanding: From Geometry and Semantics to Unified Models

Zhaochong An, Zirui Li, Mingqiao Ye +9

Video understanding aims to enable models to perceive, reason about, and interact with the dynamic visual world. In contrast to image understanding, video understanding inherently…

eess.AS2026

Nord-Parl-TTS: Finnish and Swedish TTS Dataset from Parliament Speech

Zirui Li, Jens Edlund, Yicheng Gu +3

Text-to-speech (TTS) development is limited by scarcity of high-quality, publicly available speech data for most languages outside a few high-resource languages. We present Nord-Pa…

eess.AS2026

Pronunciation Editing for Finnish Speech using Phonetic Posteriorgrams

Zirui Li, Lauri Juvela, Mikko Kurimo

Synthesizing second-language (L2) speech is potentially highly valued for L2 language learning experience and feedback. However, due to the lack of L2 speech synthesis datasets, it…