most citedA Frustratingly Simple Approach for End-to-End Image Captioning

12 citations · 18 across the 4 of their papers we have counts for

collaborators

10 papers

cs.CV20241 cited

Let Storytelling Tell Vivid Stories: An Expressive and Fluent Multimodal Storyteller

Chuanqi Zang, Jiji Tang, Rongsheng Zhang +4

Storytelling aims to generate reasonable and vivid narratives based on an ordered image stream. The fidelity to the image story theme and the divergence of story plots attract read…

cs.CL2024

Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation

Jiashu Pu, Yajing Wan, Yuru Zhang +6

Previous in-context learning (ICL) research has focused on tasks such as classification, machine translation, text2table, etc., while studies on whether ICL can improve human-like…

cs.CV2024

Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks

Siyu Zou, Jiji Tang, Yiyi Zhou +5

Diffusion-based Image Editing (DIE) is an emerging research hot-spot, which often applies a semantic mask to control the target area for diffusion-based editing. However, most exis…

cs.LG2023

Examining the Effect of Pre-training on Time Series Classification

Jiashu Pu, Shiwei Zhao, Ling Cheng +4

Although the pre-training followed by fine-tuning paradigm is used extensively in many fields, there is still some controversy surrounding the impact of pre-training on the fine-tu…

cs.CL2023

Sudowoodo: a Chinese Lyric Imitation System with Source Lyrics

Yongzhu Chang, Rongsheng Zhang, Lin Jiang +3

Lyrics generation is a well-known application in natural language generation research, with several previous studies focusing on generating accurate lyrics using precise control su…

cs.CL20231 cited

I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection

Yongzhu Chang, Rongsheng Zhang, Jiashu Pu

Simile detection is a valuable task for many natural language processing (NLP)-based applications, particularly in the field of literature. However, existing research on simile det…