Nico Daheim

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation

2023 · arXiv (Cornell University)

Ideally, dialogue systems should generate responses that are faithful to the knowledge contained in relevant documents. However, many models generate hallucinated responses instead that contradict it or contain unverifiable information. To mitigate such undesirable behaviour, …

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors

2024 · arXiv (Cornell University)

Large language models (LLMs) present an opportunity to scale high-quality personalized education to all. A promising approach towards this means is to build dialog tutoring models that scaffold students' problem-solving. However, even though existing LLMs …