5 citations · 8 across the 5 of their papers we have counts for
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cs.CL2026
APEX-Searcher: Refining Credit Assignment with Subgoaling for Agentic Retrieval-Augmented Generation
Kun Chen, Qingchao Kong, Zhao Feifei +1
Retrieval-augmented generation (RAG) connects large language models (LLMs) to external knowledge, but single-round retrieval is often insufficient for complex multi-hop questions.…
cs.CL2023★ 3 cited
YAYI 2: Multilingual Open-Source Large Language Models
Yin Luo, Qingchao Kong, Nan Xu +50
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world…
cs.CL2023★ 5 cited
YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction
Xinglin Xiao, Yijie Wang, Nan Xu +7
The difficulty of the information extraction task lies in dealing with the task-specific label schemas and heterogeneous data structures. Recent work has proposed methods based on…