collaborators

5 papers

cs.AI2026

UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning

Xiaolong Wei, Zerun Zhu, Simin Niu +9

A fundamental challenge in creative writing lies in reconciling the inherent tension between maintaining global coherence in long-form narratives and preserving local expressivenes…

cs.CL2026

TURA: Tool-Augmented Unified Retrieval Agent for AI Search

Zhejun Zhao, Yuchen Li, Alley Liu +8

The advent of Large Language Models (LLMs) is transforming search engines into conversational AI search products, primarily using Retrieval-Augmented Generation (RAG) on web corpor…

cs.AI2026

Not All Preferences Are Created Equal: Stability-Aware and Gradient-Efficient Alignment for Reasoning Models

Hui Wu, Hengyi Cai, Jinman Zhao +6

Preference-based alignment is pivotal for training large reasoning models; however, standard methods like Direct Preference Optimization (DPO) typically treat all preference pairs…

cs.AI2025

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

Xiaolong Wei, Yuehu Dong, Xingliang Wang +5

Existing tool-augmented large language models (LLMs) encounter significant challenges when processing complex queries. Current frameworks such as ReAct are prone to local optimizat…

cs.CL2025

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

Xiaolong Wei, Bo Lu, Xingyu Zhang +4

Large Language Models (LLMs) have demonstrated remarkable creative writing capabilities, yet their substantial computational demands hinder widespread use. Enhancing Small Language…