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Long-form Question Answering with Citations on ASQA

45.01EMCaLM
5.687615.896326.10536.3137Oct 17, 2023Nov 25, 2023Jan 3, 2024Feb 11, 2024Mar 21, 2024Apr 29, 2024Jun 8, 2024

Evaluation results

MethodLinks
CaLMMain LM=GPT-3.5-Turbo-1106, Retriever=GTR, Method Type=Iterative, # Main LM Call=≤ 4, # Verifier LM Call=≤ 32024.0645.01————83.9872.5978.0368.98——
CaLMMain LM=text-unicorn, Retriever=GTR, Method Type=Iterative, # Main LM Call=≤ 4, # Verifier LM Call=≤ 32024.0644.21————82.0870.5572.3767.3——
CaLMMain LM=GPT-3.5-Turbo-1106, Retriever=DPR, Method Type=Iterative, # Main LM Call=≤ 4, # Verifier LM Call=≤ 32024.0643.56————81.356669.9564.71——
ICLCite + USCMain LM=GPT-3.5-Turbo-1106, Retriever=GTR, Method Type=Postprocess, # Main LM Call=10, # Verifier LM Call=02024.0642.75————77.3167.0871.6464.69——
Summ + ICLCiteMain LM=text-unicorn, Retriever=GTR, Method Type=Preprocess, # Main LM Call=10, # Verifier LM Call=02024.0642.65————75.6861.1868.9162.11——
CaLMMain LM=text-unicorn, Retriever=DPR, Method Type=Iterative, # Main LM Call=≤ 4, # Verifier LM Call=≤ 32024.0642.24————77.1863.7164.9962.03——
ICLCiteMain LM=GPT-3.5-Turbo-1106, Retriever=GTR, Method Type=Single Run, # Main LM Call=1, # Verifier LM Call=02024.0641.92————71.8573.1477.966.2——
Summ + ICLCiteMain LM=GPT-3.5-Turbo-1106, Retriever=GTR, Method Type=Preprocess, # Main LM Call=10, # Verifier LM Call=02024.0641.11————68.0166.0474.4362.4——
Snippet + ICLCiteMain LM=text-unicorn, Retriever=GTR, Method Type=Preprocess, # Main LM Call=10, # Verifier LM Call=02024.0640.97————72.560.8868.0260.59——
ICLCite + USCMain LM=text-unicorn, Retriever=GTR, Method Type=Postprocess, # Main LM Call=10, # Verifier LM Call=02024.0640.75————63.2768.967.660.13——
ICLCite + USCMain LM=GPT-3.5-Turbo-1106, Retriever=DPR, Method Type=Postprocess, # Main LM Call=10, # Verifier LM Call=02024.0640.71————77.561.264.0760.87——
Ret-ChatGPTRetrieval=Yes, Proprietary=true2023.1040.739.979.765.176.6——————
Snippet + ICLCiteMain LM=GPT-3.5-Turbo-1106, Retriever=GTR, Method Type=Preprocess, # Main LM Call=10, # Verifier LM Call=02024.0639.89————68.8462.0571.0660.46——
ICLCiteMain LM=text-unicorn, Retriever=GTR, Method Type=Single Run, # Main LM Call=1, # Verifier LM Call=02024.0639.83————63.2569.3967.9860.11——
ICLCiteMain LM=GPT-3.5-Turbo-1106, Retriever=DPR, Method Type=Single Run, # Main LM Call=1, # Verifier LM Call=02024.0639.32————74.7367.3669.4862.72——
Summ + ICLCiteMain LM=text-unicorn, Retriever=DPR, Method Type=Preprocess, # Main LM Call=10, # Verifier LM Call=02024.0638.67————63.2152.4159.4553.43——
Snippet + ICLCiteMain LM=text-unicorn, Retriever=DPR, Method Type=Preprocess, # Main LM Call=10, # Verifier LM Call=02024.0637.69————59.0354.6259.4452.69——
ICLCite + USCMain LM=text-unicorn, Retriever=DPR, Method Type=Postprocess, # Main LM Call=10, # Verifier LM Call=02024.0637.16————57.9262.056054.28——
ICLCiteMain LM=text-unicorn, Retriever=DPR, Method Type=Single Run, # Main LM Call=1, # Verifier LM Call=02024.0637.09————62.0162.4260.3555.46——
ChatGPTRetrieval=No, Proprietary=true2023.1035.336.268.8————————
AlpacaScale=13B, Retrieval=Yes2023.1034.836.756.623.8——————
Ret-Llama2-ChatScale=13B, Retrieval=Yes, Proprietary=true2023.1032.834.843.819.836.1——————
SELF-RAGScale=13B, Retrieval=Yes2023.1031.73771.670.371.3——————
Self-RAG (13B)Main LM=Llama-2-13B, Retriever=GTR, Method Type=Finetune LM2024.0631.7————71.670.371.361.2——
Llama2-FTScale=7B, Retrieval=Yes, Fine-tuned=true2023.103135.851.257.5——————
AlpacaScale=7B, Retrieval=Yes2023.1030.933.357.95.57.2——————
SELF-RAGScale=7B, Retrieval=Yes2023.103035.774.366.967.8——————
Self-RAG (7B)Main LM=Llama-2-7B, Retriever=GTR, Method Type=Finetune LM2024.0630————74.366.967.859.8——
Snippet + ICLCiteMain LM=GPT-3.5-Turbo-1106, Retriever=DPR, Method Type=Preprocess, # Main LM Call=10, # Verifier LM Call=02024.0629.48————48.5659.5253.8447.85——
Summ + ICLCiteMain LM=GPT-3.5-Turbo-1106, Retriever=DPR, Method Type=Preprocess, # Main LM Call=10, # Verifier LM Call=02024.0629.3————48.9560.1454.5248.23——
AlpacaScale=13B, Retrieval=No2023.1022.93270.6————————
Llama2-ChatScale=13B, Retrieval=No, Proprietary=true2023.1022.429.628.6————————
AlpacaScale=7B, Retrieval=No2023.1018.829.461.7————————
Llama2Scale=13B, Retrieval=Yes2023.1016.320.524.72.33.6——————
Llama2Scale=7B, Retrieval=Yes2023.1015.222.1322.94——————
Llama2Scale=7B, Retrieval=No2023.107.915.319————————
Llama2Scale=13B, Retrieval=No2023.107.212.416————————
ChatGPT Closed BookBase Model=ChatGPT, Pipeline Strategy=Closed Book2024.04—————————38.326.7
ChatGPT Inline SearchBase Model=ChatGPT, Pipeline Strategy=Inline Search2024.04—————————32.458.2
ChatGPT SnippetBase Model=ChatGPT, Pipeline Strategy=Snippet, Number of Passages=102024.04—————————41.461.1
ChatGPT SummarizationBase Model=ChatGPT, Pipeline Strategy=Summarization, Number of Passages=102024.04—————————43.365.2
ChatGPT VanillaBase Model=ChatGPT, Pipeline Strategy=Vanilla, Number of Passages=52024.04—————————40.473
LLaMA-13B VanillaBase Model=LLaMA-13B, Pipeline Strategy=Vanilla2024.04—————————26.912.6
LongT5 3B +Blueprint +AttributionBase Model=LongT5 3B, Pipeline Strategy=Abstractive Blueprint, Number of Passages=102024.04—————————33.877.8
Vicuna-13B VanillaBase Model=Vicuna-13B, Pipeline Strategy=Vanilla2024.04—————————31.950.6