Can we generate faithful and plausible natural language explanations with LLMs?
Exploring performance characteristics of large language model-based agents
Estimating model performance in out-of-distribution data regimes
Differentiable probabilistic filtering and model-agnostic natural language explanations
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Can an agent identify only useful information for transfer learning?
Self-correcting agents and adaptive hugging robots