paper-with-me

answerability prediction 벤치마크

answerability prediction on PeerQA

6개 결과 · ⬇ CSV · JSON

Macro F1

0.2881 0.3337 0.3792 0.4248 0.4703 2020-05 2026-11 GPT-3.5-Turbo-0613-16k — 0.3304 (2020-05-28) GPT-4o-2024-08-06 — 0.3087 (2023-03-15) Mistral-IT-v02-7B-32k — 0.4703 (2023-10-10) Llama-3-IT-8B-8k — 0.3112 (2024-07-31) Llama-3-IT-8B-32k — 0.2881 (2024-07-31) GPT-3.5-Turbo-0613-16k — 0.3304 (2020-05-28) Mistral-IT-v02-7B-32k — 0.4703 (2023-10-10)
RankModel Macro F1 PaperCodeYear
1 Mistral-IT-v02-7B-32k 0.4703 Mistral 7B mistralai/mistral-src · facebookresearch/fairseq2 · mgmalek/efficient_cross_entropy · +3 2023
2 Command-R-v01-34B-128k 0.4197
3 GPT-3.5-Turbo-0613-16k 0.3304 Language Models are Few-Shot Learners ggml-org/llama.cpp · ggerganov/llama.cpp · karpathy/llm.c · +64 2020
4 Llama-3-IT-8B-8k 0.3112 The Llama 3 Herd of Models zhuzilin/ring-flash-attention · wenet-e2e/west · zechenli03/sensorllm · +2 2024
5 GPT-4o-2024-08-06 0.3087 GPT-4 Technical Report openai/evals · shmsw25/factscore · unispac/visual-adversarial-examples-jailbreak-large-language-models · +8 2023
6 Llama-3-IT-8B-32k 0.2881 The Llama 3 Herd of Models zhuzilin/ring-flash-attention · wenet-e2e/west · zechenli03/sensorllm · +2 2024
1–6 / 6 페이지당 10 20 50 100