QA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content João Monteiro,3, Pierre-André Noël

Oct-9-2025, 21:49:31 GMT–Neural Information Processing Systems

Consequently, evaluating models on test splits that might have leaked into the training set is prone to misleading conclusions.

large language model, machine learning, natural language, (20 more...)

Neural Information Processing Systems

Oct-9-2025, 21:49:31 GMT

Conferences PDF

Country:
- Asia
  - India (0.04)
  - Indonesia > Bali (0.04)
  - Singapore (0.04)
- Europe
  - Belgium > Brussels-Capital Region
    - Brussels (0.04)
  - Ireland > Leinster
    - County Dublin > Dublin (0.04)
- North America
  - Canada
    - Ontario > Toronto (0.04)
    - Quebec (0.04)
  - Dominican Republic (0.04)
  - United States
    - Louisiana > Orleans Parish
      - New Orleans (0.04)
    - Minnesota > Hennepin County
      - Minneapolis (0.14)
    - Texas > Travis County
      - Austin (0.04)
- South America > Colombia
  - Meta Department > Villavicencio (0.04)

Genre:
- Research Report > New Finding (0.46)

Industry:
- Education (1.00)
- Energy (0.67)
- Government (0.93)
- Health & Medicine > Therapeutic Area (0.68)
- Information Technology > Security & Privacy (0.68)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Neural Networks
    - Deep Learning (1.00)
  - Natural Language
    - Chatbot (1.00)
    - Large Language Model (1.00)