3 citations · 11 across the 24 of their papers we have counts for
3 papers · 1 filter
SFR-RAG: Towards Contextually Faithful LLMs
Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam +7
Retrieval Augmented Generation (RAG), a paradigm that integrates external contextual information with large language models (LLMs) to enhance factual accuracy and relevance, has em…
Direct Judgement Preference Optimization
Peifeng Wang, Austin Xu, Yilun Zhou +2
Auto-evaluation is crucial for assessing response quality and offering feedback for model development. Recent studies have explored training large language models (LLMs) as generat…
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
Austin Xu, Will Monroe, Klinton Bicknell
We study the problem of zero-shot exercise retrieval in the context of online language learning, to give learners the ability to explicitly request personalized exercises via natur…