3 citations · 3 across the 9 of their papers we have counts for
9 papers
Semantic DLM+: Improving Diffusion Language Models through Bias-variance Trade-off in Transition Kernel Design
Keyue Jiang, Yuxiang Wang, Yanan Zhao +7
Diffusion Language Models (DLMs) have demonstrated strong scaling capacity as alternatives to autoregressive language models. However, their performance is highly sensitive to the…
VoxWatermark: A Large-Scale Benchmark for Audio Watermark Detection under Perturbations
Farnaz Sedaghati, Yuxi Wang, Zicheng Weng +1
With the rapid deployment of speech generation systems in open environments, providing verifiable source attribution and copyright accountability for audio content has become criti…
Schützen: Evaluating LLM Safety in Bulgarian and German Contexts
Kiril Georgiev, Yuxia Wang, Dimitar Iliyanov Dimitrov +2
Large language models are increasingly deployed across professional domains, bringing hard-to-predict risks, including the generation of harmful or disrespectful content. Although…
Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding
Zhiyuan Zhu, Yixuan Chen, Yiwen Shao +13
Recent multimodal large language models mainly process audio as monaural signals, thereby discarding the spatial cues contained in spatial audio for sound localization, spatial rel…
ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models
Yuxiang Wang, Qinke Ni, Shengbo Cai +3
Speech carries more information than just words: a child's voice, a fearful tone, or a noisy background should all lead a sufficiently competent spoken-dialogue assistant to differ…
TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles
Yirong Zeng, Yufei Liu, Xiao Ding +9
Instruction Following (IF) is a core capability of LLMs, requiring strict adherence to diverse constraints, ranging from verifiable ones (e.g., output length) to unverifiable ones…
MimicLM: Zero-Shot Voice Imitation through Autoregressive Modeling of Pseudo-Parallel Speech Corpora
Tao Feng, Yuxiang Wang, Yuancheng Wang +5
Voice imitation aims to transform source speech to match a reference speaker's timbre and speaking style while preserving linguistic content. A straightforward approach is to train…
NV-Bench: Benchmark of Nonverbal Vocalization Synthesis for Expressive Text-to-Speech Generation
Qinke Ni, Huan Liao, Dekun Chen +2
While recent text-to-speech (TTS) systems increasingly integrate nonverbal vocalizations (NVs), their evaluations lack standardized metrics and reliable ground-truth references. To…
TempCompass: Do Video LLMs Really Understand Videos?
Yuanxin Liu, Shicheng Li, Yi Liu +6
Recently, there is a surge in interest surrounding video large language models (Video LLMs). However, existing benchmarks fail to provide a comprehensive feedback on the temporal p…