3 papers
cs.AI2025
Reasoning Distillation and Structural Alignment for Improved Code Generation
Amir Jalilifard, Anderson de Rezende Rocha, Marcos Medeiros Raimundo
Effective code generation with language models hinges on two critical factors: accurately understanding the intent of the prompt and generating code that applies algorithmic reason…
cs.CL2025
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang, Max Glockner, Anderson Rocha +1
Free-text explanations are expressive and easy to understand, but many datasets lack annotated explanation data, making it challenging to train models for explainable predictions.…
cs.CL2024
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation
Jing Yang, Anderson Rocha
Computational methods to aid journalists in the task often require adapting a model to specific domains and generating explanations. However, most automated fact-checking methods r…