LongICLBench Benchmark: Evaluating Large Language Models on Long In-Context Learning for Extreme-Label Classification

The processing of long textual sequences, which is critical for numerous applications, including question-answering systems and document summarization, has shown remarkable progress in large language models (LLMs). These models can understand and generate text based on large contexts. Still, their effectiveness in comprehending extremely long sequences and performing tasks with numerous possible outcomes remains an […]

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