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View Code? Open in Web Editor NEWBABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.
License: Apache License 2.0
BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.
License: Apache License 2.0
I see the heatmap in this paper Figure 10 and RMT Figure 6
I have some question:
many LLMs are casual. attention heatmap is bidirectional attention in RMT's Figure 6. But bidirectional attention generally is symmetric matrix . In the RMT's Figure 6, it show the casual feature.
what information you use to show that heatmap ? how to use these information . If these are some code or implementation principle,thank you very much for providing these .
Please clarify what GPT-4 models us used in the benchmark (4o or Turbo) and also, please add them both into the benchmark.
Thanks a lot a such uniq benchmark! Could you please add great models from Claude to the benchmark: Haiku, Sonnet and Opus?
And, Google Gemini Pro and Gemini Flash also.
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