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cs.CL2025
Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies
Mael Jullien, Marco Valentino, Leonardo Ranaldi +1
Recent works on large language models (LLMs) have demonstrated the impact of prompting strategies and fine-tuning techniques on their reasoning capabilities. Yet, their effectivene…
cs.CL2024
Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations
Leonardo Ranaldi, Marco Valentino, Andrè Freitas
Retrieval-augmented generation (RAG) has emerged as a critical mechanism in contemporary NLP to support Large Language Models(LLMs) in systematically accessing richer factual conte…
cs.CL2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
Leonardo Ranaldi, Andrè Freitas
The alignments of reasoning abilities between smaller and larger Language Models are largely conducted via Supervised Fine-Tuning (SFT) using demonstrations generated from robust L…