Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems

Documenti analoghi

• From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems
  di: Rahman, A M Muntasir, et al.
  Pubblicazione: (2024)
• DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure
  di: Ye, Junyi, et al.
  Pubblicazione: (2024)
• Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding
  di: Ye, Junyi, et al.
  Pubblicazione: (2024)
• Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
  di: Xu, Xin, et al.
  Pubblicazione: (2025)
• Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition
  di: Tian, Chang, et al.
  Pubblicazione: (2024)