Long Context Understanding On Ada Leval Tsort
Metrics
128k
16k
2k
32k
4k
64k
8k
Results
Performance results of various models on this benchmark
| Paper Title | Code | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| GPT-4-Turbo-0125 | 2.0 | 5.5 | 15.5 | 2.0 | 16.5 | 4.0 | 8.5 | GPT-4 Technical Report | |
| GPT-3.5-Turbo-1106 | - | 5.5 | 4.0 | - | 4.5 | - | 4.5 | - | |
| InternLM2-7b | - | 4.3 | 5.1 | - | 3.9 | - | 5.1 | InternLM2 Technical Report | |
| GPT-4-Turbo-1106 | 6.0 | 3.5 | 18.5 | 6.0 | 15.5 | 6.0 | 7.5 | GPT-4 Technical Report | |
| Vicuna-13b-v1.5-16k | - | 3.1 | 5.4 | - | 5.0 | - | 2.4 | Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena | |
| Claude-2 | - | 3.0 | 5.0 | 0.0 | 5.0 | 0.0 | 4.5 | - | |
| LongChat-7b-v1.5-32k | - | 2.5 | 5.3 | - | 5.0 | - | 3.1 | Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena | |
| Vicuna-7b-v1.5-16k | - | 1.7 | 5.3 | - | 2.2 | - | 2.3 | Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena | |
| ChatGLM2-6b-32k | - | 0.9 | 0.9 | - | 0.2 | - | 0.7 | GLM-130B: An Open Bilingual Pre-trained Model | |
| ChatGLM3-6b-32k | - | 0.7 | 2.3 | - | 2.4 | - | 2.0 | GLM-130B: An Open Bilingual Pre-trained Model |
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