activity
20232025
most citedNova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas

5 citations · 14 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2025

aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists

Pengsong Zhang, Xiang Hu, Guowei Huang +20

Recent advances in large language models (LLMs) have enabled AI agents to autonomously generate scientific proposals, conduct experiments, author papers, and perform peer reviews.…

cs.CL2025

Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic

Yang Yan, Yu Lu, Renjun Xu +1

Large language models (LLMs) achieve impressive results on advanced mathematics benchmarks but sometimes fail on basic arithmetic tasks, raising the question of whether they have t…

cs.NE2024★ 1 cited

QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution

Zijie Chen, Zhanchao Zhou, Yu Lu +3

Solving NP-hard problems traditionally relies on heuristics, yet manually designing effective heuristics for complex problems remains a significant challenge. While recent advancem…

cs.AI2024★ 5 cited

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas

Xiang Hu, Hongyu Fu, Jinge Wang +7

Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produc…

cs.CL2024★ 1 cited

Value Residual Learning

Zhanchao Zhou, Tianyi Wu, Zhiyun Jiang +2

While Transformer models have achieved remarkable success in various domains, the effectiveness of information propagation through deep networks remains a critical challenge. Stand…

cs.CL2024★ 3 cited

Unveiling the Impact of Multi-Modal Interactions on User Engagement: A Comprehensive Evaluation in AI-driven Conversations

Lichao Zhang, Jia Yu, Shuai Zhang +10

Large Language Models (LLMs) have significantly advanced user-bot interactions, enabling more complex and coherent dialogues. However, the prevalent text-only modality might not fu…

cs.CV2023★ 3 cited

Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design

Jia Yu, Lichao Zhang, Zijie Chen +7

The fusion of AI and fashion design has emerged as a promising research area. However, the lack of extensive, interrelated data on clothing and try-on stages has hindered the full…

cs.CV2023★ 1 cited

Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting

Zijie Chen, Lichao Zhang, Fangsheng Weng +2

Despite significant progress in the field, it is still challenging to create personalized visual representations that align closely with the desires and preferences of individual u…