Long-horizon state tracking in LLMs: executing MD5 through a deep sequence of dependent tool calls
Read the original at arxiv.org→arXiv:2609.00012v1 Announce Type: new Abstract: Long-horizon tasks remain uncommon in large language model (LLM) evaluation, and for a reason: when each step depends on the last, per-step accuracy that looks...
Original headline: "Long-Horizon State Tracking in LLMs: Executing MD5 through a Deep Sequence of Dependent Tool Calls"
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- Sep 2, 04:00 UTC arXiv cs.AI lead source Long-Horizon State Tracking in LLMs: Executing MD5 through a Deep Sequence of Dependent Tool Calls