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cs.CL2024
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback
Ryan Aponte, Ryan A. Rossi, Shunan Guo +5
Large language models (LLMs) have been applied to a wide range of tasks, including text summarization, web navigation, and chatbots. They have benefitted from supervised fine-tunin…
cs.CL2024
KaPQA: Knowledge-Augmented Product Question-Answering
Swetha Eppalapally, Daksh Dangi, Chaithra Bhat +8
Question-answering for domain-specific applications has recently attracted much interest due to the latest advancements in large language models (LLMs). However, accurately assessi…