53 citations · 78 across the 19 of their papers we have counts for
6 papers · 1 filter
RE: Improving Chinese Grammatical Error Correction via Retrieving Appropriate Examples with Explanation
Baoxin Wang, Yumeng Luo, Yixuan Wang +3
The primary objective of Chinese grammatical error correction (CGEC) is to detect and correct errors in Chinese sentences. Recent research shows that large language models (LLMs) h…
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
Zekun Zhou, Xiaocheng Feng, Lei Huang +11
Research is a fundamental process driving the advancement of human civilization, yet it demands substantial time and effort from researchers. In recent years, the rapid development…
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
Jiayin Lan, Jiaqi Li, Baoxin Wang +4
Large language models (LLMs) have been widely applied in question answering over scientific research papers. To enhance the professionalism and accuracy of responses, many studies…
Level-Navi Agent: A Framework and benchmark for Chinese Web Search Agents
Chuanrui Hu, Shichong Xie, Baoxin Wang +3
Large language models (LLMs), adopted to understand human language, drive the development of artificial intelligence (AI) web search agents. Compared to traditional search engines,…
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
Runxuan Liu, Bei Luo, Jiaqi Li +5
Large language models (LLMs) have shown remarkable capabilities in natural language processing. However, in knowledge graph question answering tasks (KGQA), there remains the issue…
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
Lei Huang, Xiaocheng Feng, Weitao Ma +9
Ensuring contextual faithfulness in retrieval-augmented large language models (LLMs) is crucial for building trustworthy information-seeking systems, particularly in long-form ques…