This work investigates the validity of latent reasoning using Causal Mediation Analysis and proposes a straightforward alternative named CapImagine, which teaches the model to explicitly imagine using text, highlighting the superior potential of visual reasoning through explicit imagination.
You Li, Chi Chen, Yang-Hao Li et al.· arXiv.org· 9 citations
Repo2Skill-Evo casts each release transition as a skill-maintenance task: given a V1 skill set and the official V1-to-V2 patch, an agent must update obsolete skill content while preserving guidance that remains valid.
Chenyuan Duan, Ge Shi, Zineng Mao et al.· 0 citations
This work introduces PolyWorkBench, a benchmark for evaluating LLM agents on multilingual long-horizon workplace workflows, and proposes a hybrid framework that combines structural grading, executable verification, and LLM-based semantic assessment to enable comprehensive evaluation.
Benchmark evaluations reveal that agent performance varies substantially across languages and drops sharply on the harder cross-lingual tasks, and analysis shows that multilingual execution exposes systematic failure modes across planning, tool interaction, and decision-making in long-horizon agents.
Hongliang Li, Yijin Liu, Zhiwei Zhang et al.· 0 citations
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