Author

Mingyang Liu

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#artificial intelligence Preprint Oct 2026

Verify--Backtrack Loop: Structured Precondition Recovery for Long-Horizon Language Agents

Language agents increasingly tackle long-horizon tasks in interactive environments, where actions often depend on latent preconditions. The core difficulty is not trajectory length but recovery: when a prerequisite is missing or an earlier decomposition fails, trying another plausible action rarely helps. ReAct and lat...

Ming-Yang Liu, Qing-Can Kang, Shi-Xiong Kai et al. · 0 citations

Jul 2026

Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory

This work decomposes each operator's utility into a coverage effect on evidence omitted by retention and a signed replacement effect on raw evidence that already fits, which explains why the preferred action changes with relative budget pressure.

Qingcan Kang, Mingyang Liu, Shixiong Kai et al. · arXiv.org · 1 citation

Jun 2026

EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling

Automating optimization modeling from natural language with large language models (LLMs) faces two key challenges. First, training corpora lack structural diversity. Second, data generation pipelines remain static and decoupled from model learning. To address these challenges, we propose EvoOptiGraph, a novel framework...

Qingcan Kang, Mingyang Liu, Xiaojin Fu et al. · arXiv.org · 0 citations