3 citations · 4 across the 7 of their papers we have counts for
7 papers
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…
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
Qian Cao, Yahui Liu, Wei Bi +6
Reinforcement learning (RL)-based enhancement of large language models (LLMs) often leads to reduced output diversity, undermining their utility in open-ended tasks like creative w…
Evaluating Text Creativity across Diverse Domains: A Dataset and Large Language Model Evaluator
Qian Cao, Xiting Wang, Yuzhuo Yuan +3
Creativity evaluation remains a challenging frontier for large language models (LLMs). Current evaluations heavily rely on inefficient and costly human judgments, hindering progres…
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain
Kaisi Guan, Qian Cao, Yuchong Sun +2
Retrieval Augmented Generation (RAG) system is important in domains such as e-commerce, which has many long-tail entities and frequently updated information. Most existing works ad…
See or Guess: Counterfactually Regularized Image Captioning
Qian Cao, Xu Chen, Ruihua Song +3
Image captioning, which generates natural language descriptions of the visual information in an image, is a crucial task in vision-language research. Previous models have typically…
YuLan: An Open-source Large Language Model
Yutao Zhu, Kun Zhou, Kelong Mao +35
Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many o…
Multi-Modal Experience Inspired AI Creation
Qian Cao, Xu Chen, Ruihua Song +3
AI creation, such as poem or lyrics generation, has attracted increasing attention from both industry and academic communities, with many promising models proposed in the past few…