AI RESEARCH
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
arXiv CS.LG
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ArXi:2605.02572v1 Announce Type: cross Large language models (LLMs) have shown promise as interactive agents that solve tasks through extended sequences of environment interactions. While prior work has primarily focused on system-level optimizations or algorithmic improvements, the role of task horizon length in shaping