Financial Analysis

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (93 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• FNSPID: A Comprehensive Financial News Dataset in Time Series
  9 Feb 2024 3 repositories listed Syntology ran 5 of 10 samples · 5 unverified · 8 pointer-only (licence)
  Financial market predictions utilize historical data to anticipate future stock prices and market trends.
• APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
  14 Dec 2022 3 repositories listed
  For the retriever, we adopt a number-aware negative sampling strategy to enable the retriever to be more discriminative on key numerical facts.
• EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
  10 Jun 2025 2 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  To address this gap, we introduce EDINET-Bench, an open-source Japanese financial benchmark designed to evaluate the performance of LLMs on challenging financial tasks including accounting fraud detection, earnings…
• No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks
  10 Mar 2024 2 repositories listed
  While the progression of Large Language Models (LLMs) has notably propelled financial analysis, their application has largely been confined to singular language realms, leaving untapped the potential of bilingual…
• Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform and Multi-Task Self-Attention Networks
  23 Nov 2023 2 repositories listed
  As the Chinese stock market continues to evolve and its market structure grows increasingly complex, traditional quantitative trading methods are facing escalating challenges.
• AdaRNN: Adaptive Learning and Forecasting of Time Series
  10 Aug 2021 2 repositories listed
  This paper proposes Adaptive RNNs (AdaRNN) to tackle the TCS problem by building an adaptive model that generalizes well on the unseen test data.
• How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment
  3 Jun 2025 1 repository listed
  This work highlights important security considerations for the deployment of explainable GNNs in sensitive domains and suggests the need for protective measures against explanation-based attacks.
• Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
  11 May 2025 1 repository listed
  Time series forecasting has important applications in financial analysis, weather forecasting, and traffic management.
• MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
  12 Apr 2025 1 repository listed
  We leverage textual data from earnings call transcripts, along with images and tables from accompanying presentations, to forecast stock price movements on the trading day immediately following these calls.
• Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis
  20 Mar 2025 1 repository listed
  Language models (LMs) have exhibited exceptional versatility in reasoning and in-depth financial analysis through their proprietary information processing capabilities.
• WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
  22 Dec 2024 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  Our model significantly outperforms state-of-the-art MLP-based and transformer-based models for long-term time series forecasting in a computationally efficient way, demonstrating its efficacy and potential for…
• Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research
  7 Nov 2024 1 repository listed
  Our findings reveal significant performance variations based on the configurations of AI agents for different tasks.
• DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy
  27 Sep 2024 1 repository listed
  Large Language Models (LLMs) have shown remarkable capabilities, but their inherent probabilistic nature often leads to inconsistency and inaccuracy in complex problem-solving tasks.
• TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks
  7 Jun 2024 1 repository listed
  Our results validate the effectiveness of our approach in addressing the key challenges in time series forecasting, paving the way for more reliable and efficient predictive models in practical applications.
• FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
  23 May 2024 1 repository listed
  As financial institutions and professionals increasingly incorporate Large Language Models (LLMs) into their workflows, substantial barriers, including proprietary data and specialized knowledge, persist between the…
• AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
  19 Mar 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  The task of financial analysis primarily encompasses two key areas: stock trend prediction and the corresponding financial question answering.
• A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
  2 Jan 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  As Large Language Models (LLMs) continue to advance in their ability to write human-like text, a key challenge remains around their tendency to hallucinate generating content that appears factual but is ungrounded.
• CFGPT: Chinese Financial Assistant with Large Language Model
  19 Sep 2023 1 repository listed
  The CFAPP is centered on large language models (LLMs) and augmented with additional modules to ensure multifaceted functionality in real-world application.
• Network of Tensor Time Series
  15 Feb 2021 1 repository listed
  We propose a novel model called Network of Tensor Time Series, which is comprised of two modules, including Tensor Graph Convolutional Network (TGCN) and Tensor Recurrent Neural Network (TRNN).

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.