Papers by Weiqin Zu
SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing benchmarks for Multimodal Large Language Models (MLLMs) have been lacking due to the rich nature of social interaction. |
| Approach: | They propose a video benchmark to evaluate MLLMs' capabilities across social scene understanding, social state reasoning, and social dynamics prediction. |
| Outcome: | The proposed benchmarks evaluate MLLMs' capabilities across social scene understanding, social state reasoning, and social dynamics prediction tasks. |
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech (2022.acl-long)
Copied to clipboard
| Challenge: | Experimental results show that the proposed model improves naturalness and prosody diversity with clear margins. |
| Approach: | They propose a cross-utterance conditional VAE to estimate posterior probability distribution of latent prosody features for each phoneme by conditioning on acoustic features, speaker information, and text features from past and future sentences. |
| Outcome: | The proposed model improves naturalness and prosody diversity with clear margins. |