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Xiaolong Wei

2 accepted papers

2026

Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning

AAAI 2026technical

Existing tool-augmented large language models (LLMs) encounter significant challenges when processing complex queries. Current frameworks such as ReAct are prone to local optimization traps due to their reliance on incremental decision-making processes. To address these limitations, we propose a nov

Cited by 0SourcePDFScholar
2025

Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards

EMNLP 2025

Large Language Models (LLMs) have demonstrated remarkable creative writing capabilities, yet their substantial computational demands hinder widespread use. Enhancing Small Language Models (SLMs) offers a promising alternative, but current methods like Supervised Fine-Tuning (SFT) struggle with novel

Cited by 0SourcePDFScholar