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Question Answering on NaturalQuestions 20 documents

2,946Tokens ProcessedOriginal Prompt
-102.24689.131,480.52,271.87Oct 10, 2023Nov 5, 2023Dec 2, 2023Dec 29, 2023Jan 25, 2024Feb 21, 2024Mar 19, 2024

Evaluation results

MethodLinks
Original Prompt2024.032,94675.757.354.155.463.1————
Original PromptEvaluation Model=GPT3.5-Turbo2023.102,94675.757.354.155.463.1——4.1—
GzipEvaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=2x2023.101,56764.663.860.558.357.364.41.92.11.9
OpenAIEvaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=2x2023.101,5507365.666.565.465.569.91.94.90.8
SBERTEvaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=2x2023.101,54972.567.963.36566.268.71.92.21.9
LongLLMLingua rkEvaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=2x2023.101,54873.967.768.76665.674.31.92.31.8
BM25Evaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=2x2023.101,54553.749.347.949.946.950.31.92.11.9
Selective-ContextEvaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=2x2023.101,47845.43933.833.541.5—27.40.6
LongLLMLinguaEvaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=2x2023.101,42977.272.970.870.570.676.22.12.91.4
LongLLMLinguaEvaluation Model=LongChat-13b, Compression Ratio Constraint=2x2023.101,42968.759.457.355.958.466.12.12.91.4
LLMLinguaEvaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=2x2023.101,41039.739.540.437.142.341.52.12.81.5
GzipCompression Strategy=Question-Aware Compression, Constraint=4x2024.0382463.16159.861.160.162.33.6——
SBERTCompression Strategy=Question-Aware Compression, Constraint=4x2024.0380866.961.15961.260.364.43.6——
OpenAICompression Strategy=Question-Aware Compression, Constraint=4x2024.0380463.864.665.464.163.763.73.7——
BM25Compression Strategy=Question-Aware Compression, Constraint=4x2024.0379840.638.638.237.436.636.33.7——
BM25Evaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=4x2023.1079840.638.638.237.436.636.33.71.52.7
Selective-ContextCompression Strategy=Question-Agnostic Compression, Constraint=4x2024.0379131.419.524.724.143.8—3.7——
LLMLinguaCompression Strategy=Question-Agnostic Compression, Constraint=4x2024.0377525.527.523.526.530273.8——
LongLLMLinguaCompression Strategy=Question-Aware Compression, Constraint=4x2024.037487571.871.271.274.775.53.9——
LLMLingua-2Compression Strategy=Question-Agnostic Compression, Constraint=4x2024.0374848.644.543.640.939.946.23.9——
LongLLMLinguaEvaluation Model=GPT3.5-Turbo, Compression Ratio Constraint=4x2023.107487571.871.271.274.775.53.92.12
LongLLMLinguaEvaluation Model=LongChat-13b, Compression Ratio Constraint=4x2023.1074868.760.559.358.361.366.73.92.12
LLMLingua-2+Compression Strategy=Question-Aware Compression, Constraint=4x, Coarse-level compression=LongLLMLingua2024.037397470.46766.965.371.93.9——
Zero-shot2024.0315——56.1———196——
Zero-shotEvaluation Model=GPT3.5-Turbo2023.101556.1—————1961.13.7
Zero-shotEvaluation Model=LongChat-13b2023.101535—————1961.13.7