3 citations · 4 across the 4 of their papers we have counts for
5 papers
Learning to Accumulate Knowledge with Mutual Information
Yuyang Zhao, Lizi Liao, Leyang Shen +4
Large language model (LLM) agents can improve their performance by reusing knowledge distilled from past interactions. However, curating new experiences into a knowledge bank that…
Towards Agentic Intelligence for Materials Science
Huan Zhang, Yizhan Li, Wenhao Huang +18
The convergence of artificial intelligence and materials science presents a transformative opportunity, but achieving true acceleration in discovery requires moving beyond task-iso…
Reinforcing Trustworthiness in Multimodal Emotional Support Systems
Huy M. Le, Dat Tien Nguyen, Ngan T. T. Vo +6
In today's world, emotional support is increasingly essential, yet it remains challenging for both those seeking help and those offering it. Multimodal approaches to emotional supp…
Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model Enhancement
Xiaofeng Zhou, Heyan Huang, Lizi Liao
Large Language Models (LLMs) continue to set new standards in knowledge-intensive and complex reasoning tasks, yet their high computational demands limit widespread adoption. While…
Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques
Ratnadira Widyasari, David Lo, Lizi Liao
With the advancement of Large Language Models (LLMs), their application in Software Quality Assurance (SQA) has increased. However, the current focus of these applications is predo…