13 papers
VideoVIBE: A Video-Grounded Diagnostic Benchmark for One-Shot Interactive Website Generation
Jiajun Xu, Yanghao Zhou, Jingyun Liao +6
Natural-language-driven "vibe coding" enables the one-shot generation of visually rich and interactive web applications, yet reliable assessment of their quality has not kept pace.…
Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts
Bo Wang, Heyan Huang, Yaolin Li +5
Retrieval-augmented generation (RAG) improves language models by grounding generation in external context. However, it can be fragile when the retrieved context conflicts with the…
Training-free Truthfulness Detection via Sparse MLP Value Vectors
Runheng Liu, Heyan Huang, Xingchen Xiao +2
Large language models (LLMs) are prone to generating factually incorrect content, motivating methods for assessing truthfulness from internal model signals. While supervised probin…
On Aligning Hierarchical Standardized Embedding for Audio-visual Generalized Zero-shot Learning
Zihan Zhang, Jie Hong, Siyuan Fan +2
Audio-visual Generalized Zero-shot Learning (AV-GZSL) is a challenging task that aims to classify both seen and unseen objects or scenes by integrating data from audio and visual m…
Look, Listen and Segment: Towards Weakly Supervised Audio-visual Semantic Segmentation
Chengzhi Li, Heyan Huang, Ping Jian +1
Audio-Visual Semantic Segmentation (AVSS) aligns audio and video at the pixel level but requires costly per-frame annotations. We introduce Weakly Supervised Audio-Visual Semantic…
Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization
Cailing Han, Zhangbin Li, Jinxing Zhou +5
Point-level weakly-supervised temporal sentiment localization (P-WTSL) aims to detect sentiment-relevant segments in untrimmed multimodal videos using timestamp sentiment annotatio…