Finance Language Model Evaluation (FLaME)
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Abstract (arXiv)
Language Models (LMs) have demonstrated impressive capabilities with core Natural Language Processing (NLP) tasks. The effectiveness of LMs for highly specialized knowledge-intensive tasks in finance remains difficult to assess due to major gaps in the methodologies of existing evaluation frameworks, which have caused an erroneous belief in a far lower bound of LMs' performance on common Finance NLP (FinNLP) tasks. To demonstrate the potential of LMs for these FinNLP tasks, we present the first holistic benchmarking suite for Financial Language Model Evaluation (FLaME). We are the first research paper to comprehensively study LMs against 'reasoning-reinforced' LMs, with an empirical study of 23 foundation LMs over 20 core NLP tasks in finance. We open-source our framework software along with all data and results.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 46 of its 97 references that are in the map. First posted on arXiv 18 Jun 2025.
Builds on
46 of 97 references.
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34 more
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Built on by
Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2026FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Modelscited by 4
- 2025Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMscited by 1
- 2025Financial Instruction Following Evaluation (FIFE)cited by 0
- 2026RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluationcited by 0
- 2026RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation1 Jul 2026
- 2026FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models14 May 2026
- 2025Financial Instruction Following Evaluation (FIFE)1 Dec 2025
- 2025Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs17 Sep 2025
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- 2025Evaluating Large Language Models (LLMs) in Financial NLP: A Comparative Study on Financial Report Analysis
- 2025FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling
- 2026Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents
- 2025FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
- 2023Beyond Classification: Financial Reasoning in State-of-the-Art Language Models
- 2026FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol