Sameer discusses the advantages of gradient-based techniques for long input instances, while highlighting the usefulness of influence function techniques for capturing the essence of entire sentences in complex problems like NLI. He points to a paper from ACL 2020 that delves into the comparison and interaction of these two methods, offering insights into their application.
