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[QA] Long-context LLMs Struggle with Long In-context Learning
Study introduces LongICLBench, a benchmark for evaluating long-context Large Language Models on extreme-label classification tasks, revealing challenges in understanding and reasoning over lengthy sequences.
https://arxiv.org/abs//2404.02060
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
Study introduces LongICLBench, a benchmark for evaluating long-context Large Language Models on extreme-label classification tasks, revealing challenges in understanding and reasoning over lengthy sequences.
https://arxiv.org/abs//2404.02060
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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