8 papers
Making Single-Cell Data Distillation Auditable: Traceable Real-Cell Coresets via Discrete Min--Max Selection
Yaodi Luo, Peize He, Lingbei Meng +5
Large single-cell datasets are expensive to store, curate, and repeatedly reuse for model training. Data distillation can reduce this burden by building smaller training sets. Howe…
Spectro-Temporal Interference Confounds Phase Encoding in Spatial Audio Foundation Models
Yuxuan Chen, Haoyuan Yu, Peize He
Recent spatial self supervised audio models achieve high performance on localization tasks, raising questions about their encoding of microsecond interaural phase fine structures.…
Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models
Yuxuan Chen, Haoyuan Yu, Peize He
Flow-matching transformers achieve strong audio separation, yet their attention dynamics are opaque. We adapt established causal-intervention principles into a deterministic, infer…
VidNum: Diagnosing VLM Failure Modes in Video-Grounded Numerical Reasoning
Shaoyang Cui, Lingbei Meng, Yaodi Luo +1
Video-grounded numerical reasoning requires Vision-Language Models (VLMs) to identify, track, and combine quantitative evidence across frames, actions, and scene changes. Existing…
HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models
Peize He, Yaodi Luo, Xiaoqian Liu +7
Recent large audio language models (LALMs) demonstrate remarkable capabilities in processing extended multi-modal sequences, yet incur high inference costs. Token compression is an…
AudioKV: KV Cache Eviction in Efficient Large Audio Language Models
Yuxuan Wang, Peize He, Xiyan Gui +6
Large Audio-Language Models (LALMs) have set new benchmarks in speech processing, yet their deployment is hindered by the memory footprint of the Key-Value (KV) cache during long-c…