activity
20242026
most citedFinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

OPLD: On-Policy Latent Distillation for Multimodal Reasoning

Shoutai Zhu, Tianyang Xu, Bin Sun +3

Interleaved multimodal Chain-of-Thought (CoT) improves visual reasoning by incorporating auxiliary visual evidence into intermediate reasoning. However, existing approaches remain…

cs.CV2025

EventFormer: A Node-graph Hierarchical Attention Transformer for Action-centric Video Event Prediction

Qile Su, Shoutai Zhu, Shuai Zhang +2

Script event induction, which aims to predict the subsequent event based on the context, is a challenging task in NLP, achieving remarkable success in practical applications. Howev…

cs.SE2025★ 1 cited

AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions

Zihan Wang, Jiaze Chen, Zhicheng Liu +25

Competitive programming has emerged as a critical benchmark for evaluating the reasoning and coding capabilities of Large Language Models (LLMs). Despite impressive progress on exi…

cs.CV2025

VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos

Baoyu Liang, Qile Su, Shoutai Zhu +2

Despite the significant impact of visual events on human cognition, understanding events in videos remains a challenging task for AI due to their complex structures, semantic hiera…

cs.AI2024★ 1 cited

FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models

Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu +4

Large Language models (LLMs) usually rely on extensive training datasets. In the financial domain, creating numerical reasoning datasets that include a mix of tables and long text…