mlsanityData to 14 Oct 2026

Finance Language Model Evaluation (FLaME)

arXiv 2506.15846 ↗First posted 18 Jun 2025cs.CL cs.AI cs.CEcited by 4

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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.

References · 46

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34 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2024FinBen: A Holistic Financial Benchmark for Large Language Models
  2. 2026FinForge: Semi-Synthetic Financial Benchmark Generation
  3. 2025Evaluating Large Language Models (LLMs) in Financial NLP: A Comparative Study on Financial Report Analysis
  4. 2025FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling
  5. 2026Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents
  6. 2025FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
  7. 2023Beyond Classification: Financial Reasoning in State-of-the-Art Language Models
  8. 2026FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol