COMBO
Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)
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- ablation_pairwise_input.py
- build_psg_pairs.py
- build_psg_pairs.sh
- create_evidentiality_data.py
- create_evidentiality_data_hotpotqa.py
- create_hotpotqa_evidentiality_data.py
- create_loo_data.sh
- create_loo_data_hotpotqa.py
- evaluation.py
- infer_compatibility_scores.py
- infer_evidentiality_scores.py
- infer_loo.sh
- merge_infer_scores.py
- run_imbalanced_classification.py
- submit_infer_compatibility_evidentiality_scores.sh
- train_compatibility_matching.sh
- train_evidentiality.sh
- train_gpt_only.sh
- train_hotpotqa_dpr_only.sh
- train_hotpotqa_gpt_only.sh
- train_hotpotqa_pair.sh
- train_hotpotqa_simple_merge.sh
- train_nq_webq_pair.sh
- train_nq_webq_pair_base.sh
- train_nq_webq_pair_top_10_selection.sh
- train_simple_merge.sh
- train_simple_merge_base.sh
- train_tqa_pair.sh
- __init__.py
- base.py
- fever.py
- kilt.py
- lm.py
- mlm.py
- multiple_choice.py
- qa.py
- section.py
- AdamWFP32Copy.py
- atlas.py
- dist_utils.py
- evaluation.py
- fid.py
- index.py
- index_io.py
- model_io.py
- modeling_bert.py
- modeling_t5.py
- options.py
- retrievers.py
- slurm.py
- torchrun_utils.py
- util.py
- convert_to_jsonl.py
- train.py
- framework_v4_combo.jpg
- README.md
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