arXiv:2607. 20531v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly deployed over Model Context Protocol (MCP) servers, yet the benchmarks used to evaluate them score the final answer or a fixed "ground-truth" list of tools, both of which are fragile once the underlying data is live and stateful.
By Jerzy Kami\'nski, Ilya Galyukshev, Artem Kuznetsov, Sergey Chuprin, Kirill Redko, Aidar Shumbalov, Anna Kalyuzhnaya
Speculative Macro Commit (SMC) is a runtime technique for tool‑using language‑model agents that separates an authoritative actor model from a faster speculative drafter model. The drafter predicts and executes future action chains on a snapshot, storing recurring multi‑action patterns in a macro library. When the actor’s next tool call aligns with a drafted action, SMC commits the pre‑executed steps, reducing latency by up to 18.59% on certain benchmarks while maintaining accuracy.
By Zeyu Liu, Souvik Kundu, Peter A. Beerel
arXiv:2607. 03333v1 Announce Type: cross Abstract: LLM agents are becoming a common interface for research, coding, and question answering, yet their Thought-Action-Observation loop is often serial: the model reasons, emits a tool call, then idles the GPU until the result returns.
By Huajun Bai, Weiwei Lv, Huichuan Zheng, Youyou Lu, Jiwu Shu
The paper introduces STEPGATE, an uncertainty‑aware handoff framework that evaluates each step of a small language model (SLM) agent and selectively escalates difficult steps to a stronger model. On a 52‑task single‑step benchmark, the Qwen2.5‑1.5B/7B pair achieved 82.7% task success with only 30.8% escalation, outperforming local‑only and random escalation baselines. In multi‑turn tests, STEPGATE reached 69.0% trajectory success and 84.0% action success while using only 30.0% cloud actions, demonstrating that step‑level escalation can close much of the performance gap to a stronger backend with fewer remote tokens.
By Abolfazl Younesi
arXiv:2609.38201v1 Announce Type: new
Abstract: Long-running tools can dominate coding-agent latency: compilers, test suites, and repository commands take seconds to minutes while the agent idles. Th...
By Jiangnan Yu, Ceyu Xu, Mengming Li, Shiyu Huang, Yiran Xia, Jian Weng, Hui Xue, Haohui Mai, Yuan Xie
arXiv:2610.07817v1 Announce Type: cross
Abstract: Organizations automating operational processes need more than a correct outcome: they need to predict how a process will run, know which one actually...
By Hans Schabert, Christoph Peters