activity
20222026
most citedMulti-View Incongruity Learning for Multimodal Sarcasm Detection

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SD2026

Music Hallucination in Audio-Language Models: A Hierarchical Formulation and Empirical Study

Yu Liu, Jiahui Liu, Zhilin Liu +5

Audio-language models increasingly generate confident music descriptions that are unsupported by the input audio. We present, to our knowledge, the first music-specific, layer-wise…

cs.SD2026

When the Same Musical Knowledge Forgets Differently: A Clean Probe of Pathway-Dependent Forgetting

Yu Liu, Zhiwei Yang, Wenxiao Zhang +8

A model can learn that the piano piece Für Elise is calm and reflective by listening to the audio or by reading a text description, but does it matter which route that knowledge to…

cs.SD2026

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech

Yihang Lin, Li Zhou, Congwei Cao +4

Large language model (LLM)-based text-to-speech (TTS) systems enable prompt-conditioned emotional control but struggle with fine-grained emotion intensity due to the semantic -- ac…

cs.CR2026

Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval

Yu Liu, Kun Peng, Wenxiao Zhang +4

Retrieval Augmented Generation (RAG) systems deployed across organizational boundaries face fundamental tensions between security, accuracy, and efficiency. Current encryption meth…

cs.CL2024★ 1 cited

Multi-View Incongruity Learning for Multimodal Sarcasm Detection

Diandian Guo, Cong Cao, Fangfang Yuan +5

Multimodal sarcasm detection (MSD) is essential for various downstream tasks. Existing MSD methods tend to rely on spurious correlations. These methods often mistakenly prioritize…

cs.CL2024

Can Multimodal Large Language Model Think Analogically?

Diandian Guo, Cong Cao, Fangfang Yuan +4

Analogical reasoning, particularly in multimodal contexts, is the foundation of human perception and creativity. Multimodal Large Language Model (MLLM) has recently sparked conside…

cs.LG2022

PHN: Parallel heterogeneous network with soft gating for CTR prediction

Ri Su, Alphonse Houssou Hounye, Cong Cao +1

The Click-though Rate (CTR) prediction task is a basic task in recommendation system. Most of the previous researches of CTR models built based on Wide \& deep structure and gradua…