Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization

Documenti analoghi

• CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models
  di: Kocak, Aysenur, et al.
  Pubblicazione: (2025)
• Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
  di: Yuan, Chenchen, et al.
  Pubblicazione: (2025)
• Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
  di: Kirchhof, Michael, et al.
  Pubblicazione: (2025)
• Emergent Abilities in Large Language Models: A Survey
  di: Berti, Leonardo, et al.
  Pubblicazione: (2025)
• From Confidence to Collapse in LLM Factual Robustness
  di: Fastowski, Alina, et al.
  Pubblicazione: (2025)