most citedLeveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation

Song Jin, Shuqi Li, Shukun Zhang +1

While LLMs have shown great success in financial tasks like stock prediction and question answering, their application in fully automating Equity Research Report generation remains…

cs.CL2025

A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection

Di Jin, Jun Yang, Xiaobao Wang +3

As the Internet and social media evolve rapidly, distinguishing credible news from a vast amount of complex information poses a significant challenge. Due to the suddenness and ins…

cs.CL2025★ 1 cited

Baichuan4-Finance Technical Report

Hanyu Zhang, Boyu Qiu, Yuhao Feng +6

Large language models (LLMs) have demonstrated strong capabilities in language understanding, generation, and reasoning, yet their potential in finance remains underexplored due to…

cs.LG2024★ 1 cited

CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction

Shuqi Li, Yuebo Sun, Yuxin Lin +3

There are two issues in news-driven multi-stock movement prediction tasks that are not well solved in the existing works. On the one hand, "relation discovery" is a pivotal part wh…

cs.LG2024★ 3 cited

Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers

Xin Cheng, Xiuying Chen, Shuqi Li +4

Time series prediction is crucial for understanding and forecasting complex dynamics in various domains, ranging from finance and economics to climate and healthcare. Based on Tran…

cs.IR2024★ 1 cited

Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations

Xiaoqing Zhang, Xiuying Chen, Shen Gao +4

Information-seeking dialogue systems are widely used in e-commerce systems, with answers that must be tailored to fit the specific settings of the online system. Given the user que…