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Conference Aug 2026

CoLSM: Collaborative Large and Small Models for Automatic Software Generation

Large language models (LLMs) support human-in-the-loop code development by rapidly generating high-quality code snippets. However, they still face prominent challenges in fast and efficient deployment on edge environments. Such challenges mainly involve heavy computation costs, poor domain accuracy, unbalanced collabor...

Quan Wen, Liu-Shun Zhao, Xiongtao Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

What Do We Expect from LLMs? Mapping the Design of LLM Benchmarks

This work systematically map 14,767 papers introducing or updating evaluation resources from arXiv submissions between January 2022 and August 2026, using staged screening and automated full-text coding to examine changes in target systems and domains, evaluation materials and conditions, and scoring mechanisms.

Chao Wang · 0 citations

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