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Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration
While Reinforcement Learning from Human Feedback (RLHF) significantly enhances the generation quality of Large Language Models (LLMs), …
Xin Mao
,
Feng-Lin Li
,
Huimin Xu
,
Wei Zhang
,
Wang Chen
,
Luu Anh Tuan
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models
We present Multi-expert Prompting, a novel enhancement of ExpertPrompting (Xu et al., 2023), designed to improve the large language …
Do Xuan Long
,
Duong Ngoc Yen
,
Luu Anh Tuan
,
Kenji Kawaguchi
,
Min-Yen Kan
,
Nancy F. Chen
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
Advanced models such as OpenAI o1 exhibit impressive problem-solving capabilities through step-by-step reasoning. However, they may …
Yew Ken Chia
,
Guizhen Chen
,
Weiwen Xu
,
Luu Anh Tuan
,
Soujanya Poria
,
Lidong Bing
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
In-context learning, a paradigm bridging the gap between pre-training and fine-tuning, has demonstrated high efficacy in several NLP …
Shuai Zhao
,
Meihuizi Jia
,
Luu Anh Tuan
,
Fengjun Pan
,
Jinming Wen
Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice
Retrieval-augmented generation (RAG) methods are viable solutions for addressing the static memory limits of pre-trained language …
Quang Hieu Pham
,
Hoang Ngo
,
Luu Anh Tuan
,
Dat Quoc Nguyen
Encoding and Controlling Global Semantics for Long-form Video Question Answering
Seeking answers effectively for long videos is essential to build video question answering (videoQA) systems. Previous methods …
Thong Thanh Nguyen
,
Zhiyuan Hu
,
Xiaobao Wu
,
Cong-Duy Nguyen
,
See-Kiong Ng
,
Luu Anh Tuan
Cite
Arxiv
Paper
MAMA: A Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Data quality stands at the forefront of deciding the effectiveness of video-language representation learning. However, video-text pairs …
Thong Nguyen
,
Yi Bin
,
Xiaobao Wu
,
Xinshuai Dong
,
Zhiyuan Hu
,
Khoi Le
,
Cong-Duy Nguyen
,
See-Kiong Ng
,
Luu Anh Tuan
Cite
Arxiv
Paper
SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing
Autonomous driving systems (ADSs) have undergone remarkable development and are increasingly employed in safety-critical applications. …
Guizhen Chen
,
Liying Cheng
,
Luu Anh Tuan
,
Lidong Bing
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has emerged as a pivotal technique for enhancing …
Bosheng Ding
,
Chengwei Qin
,
Ruochen Zhao
,
Tianze Luo
,
Xinze Li
,
Guizhen Chen
,
Wenhan Xia
,
Junjie Hu
,
Luu Anh Tuan
,
Shafiq Joty
Exploring the Potential of Large Language Models in Computational Argumentation
Computational argumentation has become an essential tool in various domains, including law, public policy, and artificial intelligence. …
Guizhen Chen
,
Liying Cheng
,
Luu Anh Tuan
,
Lidong Bing
»
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