ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

Documenti analoghi

• Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
  di: Si, Shuzheng, et al.
  Pubblicazione: (2023)
• Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints
  di: An, Kaikai, et al.
  Pubblicazione: (2024)
• Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
  di: Tang, Xiangru, et al.
  Pubblicazione: (2023)
• Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation
  di: Zhao, Haozhe, et al.
  Pubblicazione: (2024)
• Investigating Data Contamination in Modern Benchmarks for Large Language Models
  di: Deng, Chunyuan, et al.
  Pubblicazione: (2023)