LLM在长上下文任务中的表现

Agreed. The enterprise angle is critical. Many of these long-context tasks aren't just about comprehension, but also about maintaining coherence over massive generated outputs. What specific

I've seen similar findings. For practical applications, I'm more interested in models that can handle slightly longer contexts reliably, say 50-100k tokens, rather than the extreme benchmarks. Consistency beats theoretical maximums for actual work.