:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Mingxu, Li, Yuhan, Li, Lujundong, Shen, Dazhong, Xiong, Hui, Sun, Ying
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science Computation and Language
Online Access:	https://arxiv.org/abs/2605.10831
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AtomDisc: An Atom-level Tokenizer that Boosts Molecular LLMs and Reveals Structure--Property Associations
by: Zhang, Mingxu, et al.
Published: (2025)

SAE-FD: Sparse Autoencoder Feature Distillation for Continual Learning of Large Language Models
by: Zhang, Mingxu, et al.
Published: (2026)

NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance
by: Su, Huan-Yi, et al.
Published: (2024)

CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China
by: Sun, Bolun, et al.
Published: (2025)

From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
by: Zhang, Lingzhe, et al.
Published: (2026)

Aligning Language Models with Real-time Knowledge Editing
by: Tang, Chenming, et al.
Published: (2025)

Dynamic Hedging Strategies in Derivatives Markets with LLM-Driven Sentiment and News Analytics
by: Yang, Jie, et al.
Published: (2025)

MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction
by: Liu, Yuyan, et al.
Published: (2024)

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
by: Huang, Jimin, et al.
Published: (2024)

FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval
by: Li, Ying, et al.
Published: (2025)

Cross-Modal Alignment between Visual Stimuli and Neural Responses in the Visual Cortex
by: Gao, Xing, et al.
Published: (2025)

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks
by: Drinkall, Felix, et al.
Published: (2025)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation
by: Wu, Qilong, et al.
Published: (2024)

Enhancing Inflation Nowcasting with LLM: Sentiment Analysis on News
by: Allard, Marc-Antoine, et al.
Published: (2024)

A Modular LLM Framework for Explainable Price Outlier Detection
by: Sartipi, Shadi, et al.
Published: (2026)

SilverSight: A Multi-Task Chinese Financial Large Language Model Based on Adaptive Semantic Space Learning
by: Zhou, Yuhang, et al.
Published: (2024)

L3iTC at the FinLLM Challenge Task: Quantization for Financial Text Classification & Summarization
by: Pontes, Elvys Linhares, et al.
Published: (2024)

Task-Specific Sparse Feature Masks for Molecular Toxicity Prediction with Chemical Language Models
by: Lee, Kwun Sy, et al.
Published: (2025)

PolyGnosis 2.0: Enhancing LLM Reasoning via Agentic Harness Engineering for Polymarket and OSINT Insight Extraction
by: Wang, Daren, et al.
Published: (2026)

Computational Protein Science in the Era of Large Language Models (LLMs)
by: Fan, Wenqi, et al.
Published: (2025)

All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
by: Jiang, Yuechen, et al.
Published: (2026)

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
by: Yang, Yuzhe, et al.
Published: (2024)

SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
by: Shao, Chenyang, et al.
Published: (2025)

Data-Driven Information Extraction and Enrichment of Molecular Profiling Data for Cancer Cell Lines
by: Smith, Ellery, et al.
Published: (2023)

EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
by: Ding, Hongcheng, et al.
Published: (2024)

FinBoardBench: Benchmarking Dynamic Wealth Management and Strategic Financial Reasoning of LLMs via Board Game Simulations
by: Hu, Xuesi, et al.
Published: (2026)

Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets
by: Yang, Jie, et al.
Published: (2025)

Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
by: García-Méndez, Silvia, et al.
Published: (2024)

The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence
by: Ye, Yuxuan, et al.
Published: (2026)

Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates
by: Hu, Yeping, et al.
Published: (2026)

Multimodal Fusion with Relational Learning for Molecular Property Prediction
by: Zhou, Zhengyang, et al.
Published: (2024)

TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression
by: Li, Zhong-Zhi, et al.
Published: (2025)

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation
by: Walia, Jaskaran Singh, et al.
Published: (2025)

BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024)

The Hype Index: an NLP-driven Measure of Market News Attention
by: Cao, Zheng, et al.
Published: (2025)

Utilizing Modern Large Language Models (LLM) for Financial Trend Analysis and Digest Creation
by: Lazarev, Andrei, et al.
Published: (2025)

Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token
by: Wu, Xintong, et al.
Published: (2026)

FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging
by: Tang, Zichen, et al.
Published: (2025)

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
by: Wu, Xiaojun, et al.
Published: (2024)

MASCA: LLM based-Multi Agents System for Credit Assessment
by: Jajoo, Gautam, et al.
Published: (2025)