activity
20222025
most citedCHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization

Shanlin Zhou, Xinpeng Wang, Jianxun Lian +4

Chinese demonstrates high semantic compactness and rich metaphorical expressiveness, enabling limited text to convey dense meanings while increasing the difficulty of generation an…

cs.AI2024

On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models

Xinpeng Wang, Shitong Duan, Xiaoyuan Yi +7

Big models have achieved revolutionary breakthroughs in the field of AI, but they might also pose potential concerns. Addressing such concerns, alignment technologies were introduc…

cs.CL2023

ToViLaG: Your Visual-Language Generative Model is Also An Evildoer

Xinpeng Wang, Xiaoyuan Yi, Han Jiang +3

Warning: this paper includes model outputs showing offensive content. Recent large-scale Visual-Language Generative Models (VLGMs) have achieved unprecedented improvement in multim…

cs.CL2022★ 3 cited

CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions

Xinpeng Wang, Han Jiang, Zhihua Wei +1

Story generation has emerged as an interesting yet challenging NLP task in recent years. Some existing studies aim at generating fluent and coherent stories from keywords and outli…

cs.CL2022

Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion

Feifei Xu, Shanlin Zhou, Xinpeng Wang +3

Open-domain multi-turn conversations normally face the challenges of how to enrich and expand the content of the conversation. Recently, many approaches based on external knowledge…