5 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…
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…