16 citations · 35 across the 9 of their papers we have counts for
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cs.CL2024
FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval
Jinlin Wang, Suyuchen Wang, Ziwen Xia +4
Large Language Models (LLMs) are proficient at retrieving single facts from extended contexts, yet they struggle with tasks requiring the simultaneous retrieval of multiple facts,…
cs.AI2024★ 7 cited
AFlow: Automating Agentic Workflow Generation
Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu +11
Large language models (LLMs) have demonstrated remarkable potential in solving complex tasks across diverse domains, typically by employing agentic workflows that follow detailed i…
cs.AI2024★ 11 cited
Data Interpreter: An LLM Agent For Data Science
Sirui Hong, Yizhang Lin, Bang Liu +24
Large Language Model (LLM)-based agents have shown effectiveness across many applications. However, their use in data science scenarios requiring solving long-term interconnected t…