no code implementations • 28 Mar 2024 • Qi Gou, Cam-Tu Nguyen
By analyzing the stability and robustness of RLHF and DPO, we propose MPO (Mixed Preference Optimization), a novel method that mitigates the weaknesses of both approaches.
1 code implementation • 30 Dec 2023 • Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen
Hard negative sampling, which is commonly used to improve contrastive learning, can introduce more noise in training.
no code implementations • 23 Oct 2023 • Xian Li, Hongguang Shi, Yunfei Wang, Yeqin Zhang, Xubin Li, Cam-Tu Nguyen
Specifically, the recommendation predicts the long-term recommendation target based on the conversational context and the user history.
1 code implementation • 20 Oct 2023 • Zehua Xia, Qi Gou, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li, Cam-Tu Nguyen
Previous studies have suggested that key phrase selection is essential for question generation (QG), yet it is still challenging to connect such disjointed phrases into meaningful questions, particularly for long context.
no code implementations • 18 Apr 2023 • Hongguang Shi, Shuirong Cao, Cam-Tu Nguyen
Following the definition that the best counter-argument addresses the same aspects as the input argument while having the opposite stance, we aim to develop an efficient and effective model for scoring counter-arguments based on similarity and dissimilarity metrics.
no code implementations • 23 Feb 2023 • Yeqin Zhang, Haomin Fu, Cheng Fu, Haiyang Yu, Yongbin Li, Cam-Tu Nguyen
Specifically, the former efficiently finds relevant passages in a retrieval-and-reranking process, whereas the latter effectively extracts finer-grain spans within those passages to incorporate into a parametric answer generation model (BART, T5).
no code implementations • 20 Oct 2022 • Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen
This paper introduces Doc2Bot, a novel dataset for building machines that help users seek information via conversations.
no code implementations • WS 2018 • Dieu Thu Le, Cam-Tu Nguyen, Kim Anh Nguyen
In this paper, we explore the problem of developing an argumentative dialogue agent that can be able to discuss with human users on controversial topics.
1 code implementation • 31 Oct 2018 • Kim Anh Nguyen, Ngan Dong, Cam-Tu Nguyen
We propose an attentive neural network for the task of named entity recognition in Vietnamese.
no code implementations • WS 2018 • Dieu-Thu Le, Cam-Tu Nguyen, Xiaoliang Wang
This paper describes two models that employ word frequency embeddings to deal with the problem of readability assessment in multiple languages.