39 citations · 50 across the 21 of their papers we have counts for
5 papers · 1 filter
BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues
Haodong Duan, Jueqi Wei, Chonghua Wang +5
Interacting with human via high-quality multi-turn dialogues is a key feature of large language models (LLMs). However, human-based evaluation of such capability involves intensive…
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing
Jinwen He, Kai Chen, Guozhu Meng +2
While enjoying the great achievements brought by deep learning (DL), people are also worried about the decision made by DL models, since the high degree of non-linearity of DL mode…
ConFL: Constraint-guided Fuzzing for Machine Learning Framework
Zhao Liu, Quanchen Zou, Tian Yu +4
As machine learning gains prominence in various sectors of society for automated decision-making, concerns have risen regarding potential vulnerabilities in machine learning (ML) f…
Local spectral attention for full-band speech enhancement
Zhongshu Hou, Qinwen Hu, Kai Chen +1
Attention mechanism has been widely utilized in speech enhancement (SE) because theoretically it can effectively model the inherent connection of signal both in time domain and spe…
Attention does not guarantee best performance in speech enhancement
Zhongshu Hou, Qinwen Hu, Kai Chen +1
Attention mechanism has been widely utilized in speech enhancement (SE) because theoretically it can effectively model the long-term inherent connection of signal both in time doma…