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cs.CL2024
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
Zehan Qi, Xiao Liu, Iat Long Iong +11
Large language models (LLMs) have shown remarkable potential as autonomous agents, particularly in web-based tasks. However, existing LLM web agents heavily rely on expensive propr…
cs.CL2020★ 2 cited
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
Jie Zhou, Shengding Hu, Xin Lv +6
A comprehensive knowledge graph (KG) contains an instance-level entity graph and an ontology-level concept graph. The two-view KG provides a testbed for models to "simulate" human'…