Long Context Understanding On L Eval
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Average Score
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이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Average Score | Paper Title | Repository |
---|---|---|---|
GALI(Llama3-8b-ins-8k-to-32k) | 42.79 | A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) | |
GALI(Llama3-8b-ins-4k-to-16k) | 59.21 | A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) | |
GALI(Llama3-8b-ins-8k-to-16k) | 42.32 | A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) | |
GALI(Llama3-8b-ins-4k-to-32k) | 59.10 | A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) |
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