I-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning Models

Documenti analoghi

• Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?
  di: Camposampiero, Giacomo, et al.
  Pubblicazione: (2025)
• Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
  di: Hersche, Michael, et al.
  Pubblicazione: (2024)
• Towards Learning Abductive Reasoning using VSA Distributed Representations
  di: Camposampiero, Giacomo, et al.
  Pubblicazione: (2024)
• Scalable Evaluation and Neural Models for Compositional Generalization
  di: Camposampiero, Giacomo, et al.
  Pubblicazione: (2025)
• On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
  di: Terzić, Aleksandar, et al.
  Pubblicazione: (2024)