Saved in:
| Main Authors: | Lin, Xueyuan, Yang, Cehao, Ma, Ye, Li, Ming, Zhang, Rongjunchen, Ni, Yang, Wu, Xiaojun, Xu, Chengjin, Guo, Jian, Xiong, Hui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.21604 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
by: Yang, Cehao, et al.
Published: (2025)
by: Yang, Cehao, et al.
Published: (2025)
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
by: Yang, Cehao, et al.
Published: (2025)
by: Yang, Cehao, et al.
Published: (2025)
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
by: Wu, Xiaojun, et al.
Published: (2025)
by: Wu, Xiaojun, et al.
Published: (2025)
GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation
by: Yang, Cehao, et al.
Published: (2025)
by: Yang, Cehao, et al.
Published: (2025)
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)
by: Cao, Bokai, et al.
Published: (2025)
Financial Knowledge Large Language Model
by: Yang, Cehao, et al.
Published: (2024)
by: Yang, Cehao, et al.
Published: (2024)
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
by: Ma, Shengjie, et al.
Published: (2025)
by: Ma, Shengjie, et al.
Published: (2025)
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
by: Zhang, Haohan, et al.
Published: (2023)
by: Zhang, Haohan, et al.
Published: (2023)
Conflicts Make Large Reasoning Models Vulnerable to Attacks
by: Liu, Honghao, et al.
Published: (2026)
by: Liu, Honghao, et al.
Published: (2026)
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
by: Ma, Shengjie, et al.
Published: (2024)
by: Ma, Shengjie, et al.
Published: (2024)
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
by: Liu, Honghao, et al.
Published: (2026)
by: Liu, Honghao, et al.
Published: (2026)
DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis
by: Shi, Zhichao, et al.
Published: (2026)
by: Shi, Zhichao, et al.
Published: (2026)
Context Graph
by: Xu, Chengjin, et al.
Published: (2024)
by: Xu, Chengjin, et al.
Published: (2024)
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
by: Li, Muzhi, et al.
Published: (2024)
by: Li, Muzhi, et al.
Published: (2024)
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
by: Li, Muzhi, et al.
Published: (2024)
by: Li, Muzhi, et al.
Published: (2024)
An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book
by: Yang, Jiahao, et al.
Published: (2025)
by: Yang, Jiahao, et al.
Published: (2025)
CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization
by: Lin, Sida, et al.
Published: (2025)
by: Lin, Sida, et al.
Published: (2025)
Predicting Stock Movement with BERTweet and Transformers
by: Albada, Michael Charles, et al.
Published: (2025)
by: Albada, Michael Charles, et al.
Published: (2025)
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
by: Lopez-Lira, Alejandro, et al.
Published: (2023)
by: Lopez-Lira, Alejandro, et al.
Published: (2023)
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction
by: Li, Shuqi, et al.
Published: (2024)
by: Li, Shuqi, et al.
Published: (2024)
LLM-Oriented Information Retrieval: A Denoising-First Perspective
by: Dai, Lu, et al.
Published: (2026)
by: Dai, Lu, et al.
Published: (2026)
A Survey on Large Language Model Hallucination via a Creativity Perspective
by: Jiang, Xuhui, et al.
Published: (2024)
by: Jiang, Xuhui, et al.
Published: (2024)
Corporate Fundamentals and Stock Price Co-Movement
by: Wang, Lyuhong, et al.
Published: (2024)
by: Wang, Lyuhong, et al.
Published: (2024)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models
by: Elahi, Ali, et al.
Published: (2024)
by: Elahi, Ali, et al.
Published: (2024)
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
by: Ma, Peixian, et al.
Published: (2025)
by: Ma, Peixian, et al.
Published: (2025)
Enhancing Few-Shot Stock Trend Prediction with Large Language Models
by: Deng, Yiqi, et al.
Published: (2024)
by: Deng, Yiqi, et al.
Published: (2024)
Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
by: Wu, Xiaojun, et al.
Published: (2024)
by: Wu, Xiaojun, et al.
Published: (2024)
Predicting Stock Price Movement as an Image Classification Problem
by: Steinbacher, Matej
Published: (2023)
by: Steinbacher, Matej
Published: (2023)
S&P 500 Stock's Movement Prediction using CNN
by: Gupta, Rahul
Published: (2025)
by: Gupta, Rahul
Published: (2025)
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
by: Pei, Zhiyuan, et al.
Published: (2024)
by: Pei, Zhiyuan, et al.
Published: (2024)
Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
by: Omranpour, Soroush, et al.
Published: (2024)
by: Omranpour, Soroush, et al.
Published: (2024)
Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction
by: Xue, Xiaosha, et al.
Published: (2025)
by: Xue, Xiaosha, et al.
Published: (2025)
DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel Generation
by: Guo, Siqi, et al.
Published: (2026)
by: Guo, Siqi, et al.
Published: (2026)
SimLens for Early Exit in Large Language Models: Eliciting Accurate Latent Predictions with One More Token
by: Ma, Ming, et al.
Published: (2025)
by: Ma, Ming, et al.
Published: (2025)
BizFinBench.v2: A Unified Dual-Mode Bilingual Benchmark for Expert-Level Financial Capability Alignment
by: Guo, Xin, et al.
Published: (2026)
by: Guo, Xin, et al.
Published: (2026)
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
by: Yan, Guang, et al.
Published: (2025)
by: Yan, Guang, et al.
Published: (2025)
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
by: Guo, Tian, et al.
Published: (2024)
by: Guo, Tian, et al.
Published: (2024)
Large Language Models for Predictive Analysis: How Far Are They?
by: Chen, Qin, et al.
Published: (2025)
by: Chen, Qin, et al.
Published: (2025)
Similar Items
-
Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
by: Yang, Cehao, et al.
Published: (2025) -
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
by: Yang, Cehao, et al.
Published: (2025) -
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
by: Wu, Xiaojun, et al.
Published: (2025) -
GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation
by: Yang, Cehao, et al.
Published: (2025) -
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)