4 citations · 8 across the 10 of their papers we have counts for
10 papers
Unlocking Large Audio-Language Models for Interactive Language Learning
Hongfu Liu, Zhouying Cui, Xiangming Gu +1
Achieving pronunciation proficiency in a second language (L2) remains a challenge, despite the development of Computer-Assisted Pronunciation Training (CAPT) systems. Traditional C…
Fostering Video Reasoning via Next-Event Prediction
Haonan Wang, Hongfu Liu, Xiangyan Liu +4
Next-token prediction serves as the foundational learning task enabling reasoning in LLMs. But what should the learning task be when aiming to equip MLLMs with temporal reasoning c…
On Calibration of LLM-based Guard Models for Reliable Content Moderation
Hongfu Liu, Hengguan Huang, Xiangming Gu +2
Large language models (LLMs) pose significant risks due to the potential for generating harmful content or users attempting to evade guardrails. Existing studies have developed LLM…
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
Hongfu Liu, Yuxi Xie, Ye Wang +1
Language Language Models (LLMs) face safety concerns due to potential misuse by malicious users. Recent red-teaming efforts have identified adversarial suffixes capable of jailbrea…
Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset
Hengguan Huang, Songtao Wang, Hongfu Liu +2
Traditional applications of natural language processing (NLP) in healthcare have predominantly focused on patient-centered services, enhancing patient interactions and care deliver…
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning
Hongfu Liu, Ye Wang
Large Language models (LLMs) possess the capability to engage In-context Learning (ICL) by leveraging a few demonstrations pertaining to a new downstream task as conditions. Howeve…
Advancing Test-Time Adaptation in Wild Acoustic Test Settings
Hongfu Liu, Hengguan Huang, Ye Wang
Acoustic foundation models, fine-tuned for Automatic Speech Recognition (ASR), suffer from performance degradation in wild acoustic test settings when deployed in real-world scenar…
Zero-Shot Automatic Pronunciation Assessment
Hongfu Liu, Mingqian Shi, Ye Wang
Automatic Pronunciation Assessment (APA) is vital for computer-assisted language learning. Prior methods rely on annotated speech-text data to train Automatic Speech Recognition (A…
Economic Recession Prediction Using Deep Neural Network
Zihao Wang, Kun Li, Steve Q. Xia +1
We investigate the effectiveness of different machine learning methodologies in predicting economic cycles. We identify the deep learning methodology of Bi-LSTM with Autoencoder as…
STRODE: Stochastic Boundary Ordinary Differential Equation
Hengguan Huang, Hongfu Liu, Hao Wang +2
Perception of time from sequentially acquired sensory inputs is rooted in everyday behaviors of individual organisms. Yet, most algorithms for time-series modeling fail to learn dy…