collaborators

5 papers

cs.AI2026

CraftAlign: Feature-Grounded Evaluation and Revision Guidance for AI Stories

Yang Yang, Boyun Xu, Shaofeng Liang +5

Large language models can now generate fluent and complete stories, yet many outputs still feel formulaic and unnatural because of cliches, over-explanation, linear causal progress…

cs.CL2026

StorySpark: Module-wise Evolutionary Search for Story Premise Generation

Yang Yang, Zining Zhong, Qian Cao +5

A story premise is the creative spark from which a full narrative can grow. Yet LLM-based story generation has mostly emphasized later-stage planning, controllability, coherence, a…

cs.IR2026

HyBIRD: Hyperbolic Bridge Retrieval and Diagnosis for Methodology Inspiration Retrieval

Yang Yang, Boyun Xu, Hao Fu +6

Methodology Inspiration Retrieval (MIR) asks a system to retrieve prior papers whose methods can inspire a new research proposal. Unlike general scientific retrieval, the central c…

cs.LG2026

CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test

Zhangyi Hu, Chenhui Liu, Tian Huang +6

Recently, Reinforcement Learning with Verifiable Rewards (RLVR) and Test-Time Scaling (TTS) have advanced LLM code generation through executable verification. Yet Ground-Truth Unit…

cs.NE2026

TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution

Yang Yang, Zining Zhong, Jindong Li +5

LLM-driven program evolution can discover high-quality programs, but its cost and run-to-run variance hinder reliable progress. We propose TurboEvolve, a multi-island evolutionary…