61 citations · 61 across the 2 of their papers we have counts for
4 papers
Interleaved Tool-Call Reasoning for Protein Function Understanding
Chuanliu Fan, Zicheng Ma, Huanran Meng +6
Recent advances in large language models (LLMs) have highlighted the effectiveness of chain-of-thought reasoning in symbolic domains such as mathematics and programming. However, o…
Distributionally Robust Deep Q-Learning
Chung I Lu, Julian Sester, Aijia Zhang
We propose a novel distributionally robust -learning algorithm for the non-tabular case accounting for continuous state spaces where the state transition of the underlying Marko…
Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction
Hongbin Ye, Honghao Gui, Aijia Zhang +2
This paper introduces CooperKGC, a novel framework challenging the conventional solitary approach of large language models (LLMs) in knowledge graph construction (KGC). CooperKGC e…
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye, Tong Liu, Aijia Zhang +2
As large language models continue to develop in the field of AI, text generation systems are susceptible to a worrisome phenomenon known as hallucination. In this study, we summari…