most citedLEAF-Mamba: Local Emphatic and Adaptive Fusion State Space Model for RGB-D Salient Object Detection

3 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20253 cited

LEAF-Mamba: Local Emphatic and Adaptive Fusion State Space Model for RGB-D Salient Object Detection

Lanhu Wu, Zilin Gao, Hao Fei +2

RGB-D salient object detection (SOD) aims to identify the most conspicuous objects in a scene with the incorporation of depth cues. Existing methods mainly rely on CNNs, limited by…

cs.CL2025

On the Adaptive Psychological Persuasion of Large Language Models

Tianjie Ju, Yujia Chen, Hao Fei +6

Previous work has showcased the intriguing capabilities of Large Language Models (LLMs) in instruction-following and rhetorical fluency. However, systematic exploration of their du…

cs.CL2025

Probing then Editing Response Personality of Large Language Models

Tianjie Ju, Zhenyu Shao, Bowen Wang +7

Large Language Models (LLMs) have demonstrated promising capabilities to generate responses that simulate consistent personality traits. Despite the major attempts to analyze perso…

cs.CV2025

Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models

Tianjie Ju, Yi Hua, Hao Fei +7

Multi-Modal Large Language Models (MLLMs) have exhibited remarkable performance on various vision-language tasks such as Visual Question Answering (VQA). Despite accumulating evide…

cs.CL2025

When Disagreements Elicit Robustness: Investigating Self-Repair Capabilities under LLM Multi-Agent Disagreements

Tianjie Ju, Bowen Wang, Hao Fei +9

Recent advances in Large Language Models (LLMs) have upgraded them from sophisticated text generators to autonomous agents capable of cooperation and tool use in multi-agent system…