File size: 22,670 Bytes
2c151df | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 | 4f80423f26ffd9f82447201f0bf9dc37c47ebc38f8f22fd6ab5fead499f874a4 ./MANIFEST.md 0ab6ea3c7d7195101e85eb466bf71178f4788fd018a2ba80e6e91b755e651d26 ./README.md 5ba581947769d1a9873ec227146ff9fcd6e97e6c72d313e15b2dd0b1a78422da ./SHA256SUMS.txt 2969493e97d84de0d62e940cd56eb2b2516ab52d953f5136cc522b8b25c10e18 ./baselines/README.md 0b88da6a2d4b0d03ca6f7d3e2f9b5909df6ec77287b9f853ced8aa54334341f6 ./baselines/msmarco_scale/BASELINE_COMPARISON.json 17c205fefea1cf76b786d374e66996f0fad284c1c3e20e25fb2f13eb78d06bf7 ./baselines/msmarco_scale/README.md c1679a7dc3362df87e9b6f9776d687b39347667e3099336736c5c1bf2c8f4081 ./baselines/msmarco_scale/run_bm25_test_streaming_effectiveness.py d057165b4a2fabf2412e2169d6c9054ea9143c98b19d971acf56e4bc45ace37a ./baselines/run_local_lexical.py f1706888e5cde3c06910c4595b57f936eab81a5fab1f674ff5cd511ca48380c1 ./configs/msmarco_fullscale_lock.json 6cadb36a36704b5e884136c6497edcd6bc0d735c2f6b3640a04c29f96d4090a5 ./configs/rag_top10_current.json 392477be0bc316a79005f99b8552d81828f4f13b1a34fe7f9469d01867da0ebe ./data/README.md 16baac51e07a2c18658e7a52be293e5faf76c85eed45af6020e1f3310c986e84 ./docs/BASELINE_SUITE.md f2f6a48cfa62c6579eb8c9d12509bc84a694180c2183f1e307323e0b1fcf7fe8 ./docs/LITERATURE_AND_SPEED.md 45e5ff63bb6806195dbbd88f1b4acaa44a6cafe2412f9b60ef5329744e9bf311 ./docs/METHOD.md 86d453cdec765c7ebd7d8756f19eeb46eeaa6d434175d011ee605e54ce96ebf9 ./docs/RAG_PROTOCOL.md 8f71f9ba5e0a3b8793eb579473b617a2680d7d257ca797bcc95cc439694dcaf1 ./docs/REPRODUCIBILITY.md b1b557dfa9735a945ed90ecca0bc8a3c4b7b6c5c868b244319564193b52a1cca ./docs/images/scifact_pool_sweep.png 45cd761e476585ed66c2f556dda1f6c3f41e952990aba2b4896afe86ba6450ce ./docs/images/treccovid_pool_sweep.png 69ac0bdc2e42aba38b97af2d0f2f742a2d4868bbc3cf29b55498570b6dc93597 ./docs/images/treccovid_speed_pool.png 034af73af755caed99eb5998c5a666c7a06a3dd08fb9599018d7b9d64e8f116f ./experiments/beir/run_pool_sweep.py 5a878f6b0d99095cd16ecaf88f421d40116e00b28e36575a9a1c9829e7a4a844 ./experiments/beir/run_rag_top10.py edad4ce1d8d74ca42d4c0068da64091ba25a39edbb819ce6fda21216dcf4fcbc ./experiments/beir/scifact_pool_sweep_exact_history.py bd3587776da5a2706359acaede2ffd9845caaae324a975e548be927b4733c512 ./experiments/beir/treccovid_collision_diag_exact_history.py 0fab03058fe78cefc5a256a6a2acb962610f9691fb43aa0e233f2a2604592377 ./experiments/beir/treccovid_hq_branch_exact_history.py b289003e70d07342c1091cf89100f65f6c056e855f5e699fe678cb542eab1b69 ./experiments/beir/treccovid_idf_power_exact_history.py 1e40adcddc0b8137d4a0711eb6242456dfeca3975dbca26c2d2076be19d47d51 ./experiments/beir/treccovid_local_baselines_exact_history.py 03f408dd323f6b8b445820321453c3c16bd74c108fe73ee0c7a24d38561cbbf2 ./experiments/beir/treccovid_pool_sweep_exact_history.py 0b69c6492c8dc9959ed2d7e3ed77828f1d6b80c50cc4170c317521360bc1f2f5 ./experiments/msmarco_scale/bench_fast.py 79317da63ae94063be1a54fd9d668bbe8985c4245e1f5314bf590f3434839ae8 ./experiments/msmarco_scale/bench_post.py adbfb8cd566efc555fc64bc56c632aa060d13b89d1f130e361f20cf52494ae16 ./experiments/msmarco_scale/build_branch_sorted_layout.py d731b75f0fa7f76a1246f03866cb8f349e0fcd9ee0e49ac217877cbf7c89c8fd ./experiments/msmarco_scale/build_global_support.py 46895b5c3400276235abe7d177a29f224cb90f088c3bb97910909697bb0bb6db ./experiments/msmarco_scale/compare_fast_post.py 738469931c461f70434de151545caafd85ac5682a5d63c9b196a0023e309c708 ./experiments/msmarco_scale/msmarco_allroute_diag.py 261459b5fd83fd4cdf2a5a88d9be36a83410ca9ed358efe9e229718b27de8926 ./experiments/msmarco_scale/msmarco_amplitude_diag_stage1.py 1232f6e2a8f50d44215949493aa7a277d186bad61fe1ce96fcb5a3828f8b93cd ./experiments/msmarco_scale/msmarco_amplitude_diag_stage2.py e9dbde8dfea6101eee75a13b55423192743745334c8910146bb16b7c316cdfeb ./experiments/msmarco_scale/msmarco_amplitude_diag_stage3.py 78c884bca40e9c0a91982941b0a0f778436f9d32b05c11b6314a8498401adbba ./experiments/msmarco_scale/msmarco_best_all_dev.py 66f848dcd48d93e2dd40f5c591e1b272d564ad591b4c451f20e7a99320a34b68 ./experiments/msmarco_scale/msmarco_best_tail_core.py bbefbeeb5bdf65be97380691ef6402d696c253876e555e8366d38ce1a1b21c9b ./experiments/msmarco_scale/msmarco_best_tail_dev.py b8e9207c47ec6eefa0a1242fe314b9f8f82de0eb925f248c6ed509b25223027d ./experiments/msmarco_scale/msmarco_best_tail_eval.py 881c867a7b39c00a99efc9d988dacb03da6461b10edfaed9bd1cb736f1043385 ./experiments/msmarco_scale/msmarco_branch_coherence_multifold.py 285b50278a451163946fb35401e54e3057fbd8f4c4ec78e44ffed751d9baef1f ./experiments/msmarco_scale/msmarco_branch_features.py e1f94adad876988ef048fe215f0277fef184d64170993f637e28a9394b030906 ./experiments/msmarco_scale/msmarco_branch_fusion_sweep.py afb1ba43fb4d5b30bf6f4e68e7958d604aab2345580cd60ea2b7611754f001ca ./experiments/msmarco_scale/msmarco_build_geometry.py 46ad190f74ccc707fa7d46d0bb710e1c2e6adfe641c2f67e669f1871e1218b70 ./experiments/msmarco_scale/msmarco_build_geometry_uniform1m.py 45e271933bcf058970fb4e917d57d14390da3db0112aecb2f5e241f6bfeec457 ./experiments/msmarco_scale/msmarco_build_s32_reliability.py 38619f0b7a3cc53f7a43071fba267d6d0a0bdb7856a7303157cd4e267726060e ./experiments/msmarco_scale/msmarco_coordination_features.py 420f26c180abae207ef59019b4fd0172ba1f65a40a126b4ed97d791b0be7e43e ./experiments/msmarco_scale/msmarco_coordination_sweep.py 74e8125256ff7c0ece264699195972ba8cedb0246f3d6c615520a2f89f720e38 ./experiments/msmarco_scale/msmarco_covbonus_sweep.py 9e5176fbf098f04fe58e803dc597a4168b9a4f6325cd361f3b0318297882acb4 ./experiments/msmarco_scale/msmarco_dev_fast.py c0f76d5f036aad3ca2380ce9797051393e875efcc06d5f0a75ada99361fe031d ./experiments/msmarco_scale/msmarco_early_lex_dev.py 5fbfe8bd9d9af97fe0614a64803affc8dd2c2ada406406b49548fb4f4fdfefee ./experiments/msmarco_scale/msmarco_early_lex_direct.py 80c4499e5f9cd2dbbd5689742eeb2e98e1915d31fe0e6f3f9a0b90ec895891ff ./experiments/msmarco_scale/msmarco_early_lex_quota.py 00727d6cca277783a3fd3c5077221cc801ca1699bf0c25cc5a93b303a5411d9d ./experiments/msmarco_scale/msmarco_early_lex_validation.py a79a54e5aea400a5ab5511c4dca46b56c0267504701529920fc24c2269c2dca4 ./experiments/msmarco_scale/msmarco_early_lex_validation_fast.py d8195c98fc6a73c7c59b55ac57305a8116661ecb096363aee5403f0ad9192d99 ./experiments/msmarco_scale/msmarco_encode_full.py de36eb7df3838b25d678066c83b6c9ec3fe2e384a0cdba7b967d24ad504ebda0 ./experiments/msmarco_scale/msmarco_encode_resume.py 966313af06ab566954606184a8537eeebb0c99582a297cdda8966e9e20aa1fe5 ./experiments/msmarco_scale/msmarco_encode_s32.py e0a55887f6ed1e6bdd973d9a8a40522950acad2e4703dcd27cf43da93d6d6bbe ./experiments/msmarco_scale/msmarco_encode_s32_1w.py fba6a6d64c22daa0469d34e359cfa874ab365128256382c07e62e3b224ccd3b2 ./experiments/msmarco_scale/msmarco_encode_s32_1w5t.py 3c7dad17cf611051cae4f75c181afe31090b4b1b1a213ef837dca3db52fe1187 ./experiments/msmarco_scale/msmarco_encode_s32_2w.py 2c2bba9b82e194d75e8157dc2b3d63b90ae29913c3661f1eec174c0c0f1ce03e ./experiments/msmarco_scale/msmarco_encode_uniform_residuals.py 4d5a36223acf2a892c0045b520fd153ec9eacac2f2c72a196c85cfd74396da64 ./experiments/msmarco_scale/msmarco_extract_structural_features.py 9c8a83dd82abe51bdf05b1ee3532cc93f399568fa2143855703b2771262c2ef9 ./experiments/msmarco_scale/msmarco_extract_structural_features_fast.py ac540876ca306ad307e320c573fc9a3dae0e2be385736bd2d10fbfa79c601f38 ./experiments/msmarco_scale/msmarco_final_test_once.py 572487beff4108cc7d533dd6978191087bb35660ffd3d6d57c583171da175330 ./experiments/msmarco_scale/msmarco_final_weight_sweep.py 4de2e0fc6d6f839d38882d25e58959ede65930a9989f1c3b84eb7016e993b94e ./experiments/msmarco_scale/msmarco_finish_train_cache.py db2264deb5a05f25a6e20001b42b512cb0debf392e4e6e9a50b4a48916e17e7a ./experiments/msmarco_scale/msmarco_finish_train_tune.py c759413ea0620b5548904797f05e3f0a3fb29cc077adb2cdfd4df0bd0237b34a ./experiments/msmarco_scale/msmarco_full_search.py 6e99ebaa106dfc5f2eb04d228b136955a420f532af81ddc29045f554b0aa2407 ./experiments/msmarco_scale/msmarco_full_search_fast.py 4c18a93f1467cdc3059c95c9c7b5c1183f9921c0972a7960fd9ab2b6fce0d4ed ./experiments/msmarco_scale/msmarco_full_search_fastp.py 70513336dd6eb7696baa700e9398d3fb16c33c8bd73358a7914c78aaf5b29083 ./experiments/msmarco_scale/msmarco_full_search_post.py f20d3e28187484a5f62a8d6d118679587c67550c7aac8b9ef994dab8837cb1d7 ./experiments/msmarco_scale/msmarco_full_search_uniform1m.py 62726f1bb4b3777d1a670e0961998c0c2594ff665bb0e60c332d22c0659831ac ./experiments/msmarco_scale/msmarco_full_search_uniform1m_s32.py 340a353fa8fe95d1ab55a5f37243001b04a8152bb9175b332d2443fc99393d68 ./experiments/msmarco_scale/msmarco_gamma_lambda_diag.py a2cb2c3df68bd1e90ca36d0e199d8f7fa7b3dffa71096336dbbe207f58f0615e ./experiments/msmarco_scale/msmarco_idf2_best_dev.py 960eb4e025ab72c68d12fc35b410404c176b04cc0ab803fbe83d9405be0c8151 ./experiments/msmarco_scale/msmarco_idf2_rare3_best_dev.py 4f4396ed271d7eb4fd6d3c5775b6a22e377b7bb78a0fd9fbbd9685bcbae22157 ./experiments/msmarco_scale/msmarco_lambdaM_uniform_diag.py 7060d1ddbbbcffd8da22ce50dce7a4b7eaf0b768c68ec518c35dd2c059bd165a ./experiments/msmarco_scale/msmarco_lambda_diag.py 5822caa5a1e74a0b349b1f2c0efb5c18b1306425948300d8e53d2326cdaccc0d ./experiments/msmarco_scale/msmarco_lex_idf_highpower_multifold.py 1585716a09d55862b6899e16a85adc11968a61bff0f5978f824d76dd285986c6 ./experiments/msmarco_scale/msmarco_lex_idf_power_multifold.py dc767671c4f39ee8c912bb3e2b9ac05b4faea2885143dce20ced6e2ac87ce25a ./experiments/msmarco_scale/msmarco_p_sweep.py 1598e1bb3423b03d9d46a8fa7256618255ad5cdef24f8455423902ed6c5179a4 ./experiments/msmarco_scale/msmarco_prelex_idf2_multifold.py 954bfef5e7ae2fc77b1bea2d85716aa457c80267ff0e99b01bcc44aa826d9c8e ./experiments/msmarco_scale/msmarco_preselection_finalists_validation.py 2ca5caac2bfe079963124fdda5b52d9d480ef0cfb266d6f628a77e7acfb94a0f ./experiments/msmarco_scale/msmarco_preselection_length_sweep.py 8ab754107bb57ad5ab0a36ac76c7c7f7c06a183047ee18f292463ba5a924faa8 ./experiments/msmarco_scale/msmarco_rare_conjunction_multifold.py c1076c4bc3fd3d5f14039f7cbdbf08ac3be8e76e5ac6e4249148b415a7944caf ./experiments/msmarco_scale/msmarco_reorder_s32.py 5a4fcd6764ed54cfb0a1d45d7de75cb8896140aad1b6dada0f62420325050899 ./experiments/msmarco_scale/msmarco_reorder_uniform.py e8a2edc069f193dd44f36aafd3f9248a88fd2f0eb2b80af9dabf67c5f6cce5c3 ./experiments/msmarco_scale/msmarco_scale_exact_vocab.py 155d1f390a3f65dd09d5d39cdbb5c2e3fbde08b1b974c010fd709c0857a24d5d ./experiments/msmarco_scale/msmarco_scale_vocab.py dec02ef2df159ccd3ce977a9abc784379ee15e3102584b9e031485ab9745353c ./experiments/msmarco_scale/msmarco_semantic_coord_features.py e8b2d586bf2cb5353a3af967413a56605b070c0a6e526218c1c5f053e64d81d5 ./experiments/msmarco_scale/msmarco_semcoord_best_dev.py 452eaad19b02960f544db269db1e8aa171e7433c4dd570d86d0d70e4a9b6df2f ./experiments/msmarco_scale/msmarco_semcoord_sweep.py 86855fc772847d4b53c1fd070b0b8b4137f1e670fa57eb246355bd0630e3a4cf ./experiments/msmarco_scale/msmarco_structural_157_dev.py 7050da6798aefa97324866592c393a998ce9ce71e2cfd47b1ecc785daf36b6aa ./experiments/msmarco_scale/msmarco_structural_best_dev.py 64ac793e56f13c53915425b9489fb22bcce3feb4d8bfcef8191cc31f658d5fe2 ./experiments/msmarco_scale/msmarco_structural_fusion_fast.py 7acd1f4bbfc584e7ea94b135c23cdaf02934efa6c626b7293362e396a10e86b3 ./experiments/msmarco_scale/msmarco_structural_fusion_sweep.py 8cd6419ae450b8e9242a4fde146fed06b33391587d0b4f449a8275f26552beb8 ./experiments/msmarco_scale/msmarco_tail_weight_sweep.py 00fc9fd1f311e2f7f535a1901fb2c0b1ac4a2642e5d9ccc975c888ef0467b9d3 ./experiments/msmarco_scale/msmarco_test_baseline_compare.py 2c228d9018addb2cc0f09d688ef93ba39e473588c3ad7d8f345ecf63fb13c3a6 ./experiments/msmarco_scale/profile_fast.py 397f4fac4b8c6521033163bd220ba356d762eae21c1292a2bcada7455031dbc1 ./experiments/msmarco_scale/profile_post.py 15c14fe55c1e5fac958b0bae16ffdbd1a000aa47834d8e14e4ed75d08e450f87 ./experiments/msmarco_scale/reorder_chunk.py 0473a4c9e28db15cda4c9ae597abfd24c4197cb2988d848ee74fbd7efbe57bbe ./experiments/postbenchmark_optimizations/README.md 6e248cf9706154e1dd676a4e7f91033c20869dc136c8f3510f1d9032db425f19 ./experiments/postbenchmark_optimizations/final_two_optimizations_ARCHIVE.py 19045799bf28fc030a90e71c3c61c8bf02860271aac714468231b78db47c07fe ./figures/fig01_positioning_low_cost.png 12fe3a942bebe026c4e2429fe93119b0b5a597873c75a760c92fa3bdbeaeedc4 ./figures/fig02_offline_index_pipeline.png f6c32ca8583a5e458359ae0f6ca98d28047192a6c9fb74656b75b72a3ee0c962 ./figures/fig03_querytime_pipeline.png f19b3833a423631522d12ab759590a91e17fb09f41cd98af28d9c847d3c065af ./figures/fig04_storage_budget.png 0e02d5a1d4c1c43771e0c8b913d3d428fb93bbcd4175ed3d7d08696c1771f5d9 ./figures/fig05_query_complexity.png 11ce7608555d17493b24626cf4765102309b08ad66f79f2e37c0020d8313cb16 ./figures/fig06_hardware_story.png 2d253fbe10eb0bd89729d2ae4cadffeb18acc00970937e02879e94a612fe59db ./figures/fig07_shortlist_sweep.png df9aebd43ae13bbead2d9d5319667d8eef59b76b4c675b3b45b3eb76dff077d6 ./figures/fig08_six_dataset_heatmap.png 36db863813e83f504d107265747812514882767092284153f086f78f3d94f34c ./figures/fig09_scifact_quality_latency.png 74f278355a84231cd094d6a75687076aea5eb94100e056db25f566b53232774a ./figures/fig10_repository_map.png b886958ef2c5f1c9df5e0461258cbd37ea44827238d2e75abd4e23938d19c42b ./geomretrieval/__init__.py 7b0f962f8644cf5c31bbc338dcac1c794b17d9b8c763b831ccdf72433782116a ./geomretrieval/baselines.py 0262e0bc78f6c9a5f7f9b5c0d6526f517beaf603f62ed5b3aafe7875d9411bda ./geomretrieval/beir.py d74a944d3db48b8afb2c66655269fb7ce0d30bfc28afd4f08ccdf8abfec81325 ./geomretrieval/cli.py c13b3bc618eb829e1da469bf28ec4488119c17e0970f0aaefb64c5eee14118bc ./geomretrieval/config.py d0784e0575359692433444604bde9810e39a03b55c5e5c0a5a438f2892918ded ./geomretrieval/geometry.py b2ce5b99b79852d366d31fe7f91c0b8de45c200f0b8657169084db23df15ba64 ./geomretrieval/index.py 394664b5aae5e46b0a1e2f99a7b78f08152b56a340187df152d42828d101310f ./geomretrieval/metrics.py dbce3f5659f0f987cab14764e38197ebe72e11e7102695b0388f6f7401dd66bb ./geomretrieval/rag_top10.py 4d8cd71a842534d7f0a9b8c689fbd5220be7b88b9be5000b6e44a7cccd9687b8 ./geomretrieval/utils.py f04cfb911b60797b228758f7edfdae7f4a12ee03e750bf2f32b5519f5921dd96 ./manifests/msmarco_manifest.json 698630f7f5974913cafc6fae873379318410ef965c119f05f2238131dd5801ac ./pyproject.toml abc4cf067d3bd04ea2683c7bd0dae28d646e88a71f760cac5f8e901bdf81b9dc ./requirements-baselines.txt f8cd9e4fbe2f25e62feeec30971977b2057c9cf229e0c17e0b5315c235d53135 ./requirements.txt 71d077d23700cd79e83c306316e98ae675235725fabc0d3381640ae115834584 ./results/BENCHMARK_LEDGER.json 6e691241fa267c2bae5da3302c95241528863781b613c5b1767fec6243791c85 ./results/beir/p100_full_benchmark_summary.json 654c0d66ea22848032c94db728ed1e3a88bcd0e73ba8888e7de8033222637a34 ./results/beir/rag_top10_pool_sweep_scifact_treccovid.json f8e9f7e4e42445389b035d82c8d6d5a1e31983748ccf4157f19a28eda8d967a4 ./results/beir/scifact_p100_sweep_result.json f402034a17f0a428c5720c4eff82d38cc6961115fd0917879015a30a79476afd ./results/beir/scifact_p200_sweep_result.json 028912bd9c73ed0aa058f88cc6c1a0d68d8b76ed3e89b83585ab395f9b6b5733 ./results/beir/scifact_p25_sweep_result.json b7e930250b1ff3c062bbb2ddfd6191841cf1aeac00310065b9f7a6e62a829810 ./results/beir/scifact_p500_sweep_result.json f19feb62efda43cd2e68ac95dbd9ce6a5f28b165fa36ed31fe90a369e3218404 ./results/beir/scifact_p50_sweep_result.json 23faac5913e8e503ade069949d388b3d412369ffd5c392eaaa71022c6f2fd81d ./results/beir/scifact_softdiv_results.json 13133b8a961c28f7680912e01869f08bfdc2729eafb95333c0222ae4c25a69cd ./results/beir/treccovid_collision_diagnostic.json ac3074ed93a804a9a78e3e8bf247ff81dbb95063650c88891d1daaea4589503e ./results/beir/treccovid_full_benchmark_diversity.json bccd29058a344ce06a82c84563861fafcdb7b469e896f0d8b4a35da37077e0cc ./results/beir/treccovid_hq_branch_benchmark.json 0a94838b89369c69a9d7945c6bbb165a2862cbd3723e2017af16106e69eb32eb ./results/beir/treccovid_idf_power_2_3_4.json 80e5bb194711ef4a09387afcbe9520f4ae31f3faacfc8324dfc2ab18ba8576a3 ./results/beir/treccovid_local_baselines.json 6b530a471c675042b99d14947c1f928a6bab7253aa749fdb9652389eefdf4946 ./results/beir/treccovid_p100_sweep_result.json 205df77ad5021b577db84c5db7605028226f6d190c19ad5942e3cd84e9372559 ./results/beir/treccovid_p200_sweep_result.json 406c073a8feb753974dff40f649f03730913f429914091b5bd2dd8f9c8fd1243 ./results/beir/treccovid_p25_sweep_result.json eebeccc0aa7125f7aca3f5f822309e5d7698ebf4485a6d726fa9edd10679b623 ./results/beir/treccovid_p500_sweep_result.json f98ee7d1016c63adf64951f0eff4290fff717efed1834497faed4d986992aa55 ./results/beir/treccovid_p50_sweep_result.json 71baa6b559d2d0e4b6a624902f6273c8dc516247854f68ba841aa47e3fcf33a5 ./results/final_100_to_10/RAG_TOP10_P_SWEEP_DL19.json 04fee39f94790d004058074ebaf5a6317a2d5e5fe8b24621a531cd297ec9a35c ./results/final_100_to_10/final_benchmark_table.json feedeb5078219a4b0398fa4203f70a6f1b17e4cef269f69ce79b483935fadb35 ./results/final_100_to_10/hotpotqa_RAG_TOP10_P_SWEEP.json 709ce2e6d2616ffedca38b4f16d56e6b63d40d9d4b56b0464ed693f5845ab6ed ./results/final_100_to_10/hotpotqa_two_optimizations_merged.json 7f24fcb6097a32d51a24c45c71ae73d04a731eddec1d274ef05b302203dc0c99 ./results/final_100_to_10/nq_RAG_TOP10_P_SWEEP.json bd3c812bf28283a270c160d88deca19009bef9aea765785930027654fb94b9de ./results/final_100_to_10/nq_two_optimizations_merged.json 6e691241fa267c2bae5da3302c95241528863781b613c5b1767fec6243791c85 ./results/final_100_to_10/p100_full_benchmark_summary.json 77e41141202457af5c5e008f7557b73546c9f04e603e4ba4fcef00ba36a24d90 ./results/final_100_to_10/quora_msmarco_top10_results.json 654c0d66ea22848032c94db728ed1e3a88bcd0e73ba8888e7de8033222637a34 ./results/final_100_to_10/rag_top10_pool_sweep_scifact_treccovid.json f1706888e5cde3c06910c4595b57f936eab81a5fab1f674ff5cd511ca48380c1 ./results/msmarco_scale/FINAL_LOCK.json a5667df5baf192dba9f65a34185a90f22f186e41e8709d6a126080e62eb804ad ./results/msmarco_scale/FINAL_TEST_ONCE_results.json 4d327d8bb8b0d9251b3f5c214ffe871891e35251ca44e043c66bd77517742004 ./results/msmarco_scale/FINAL_TEST_TREC_CORRECTED_WITH_R1K.json 9d80214bae331d92e6fbb09f80eb459e80d75f2e9972cc9009f8ec10f9d0ce3f ./results/msmarco_scale/amplitude_diagnostic_results.json 141b27e9e7c8e3ae89d06dea6a68b5c8539b5abef3e9c75b2a3039d575613578 ./results/msmarco_scale/best_all_dev_results.json 2d2cb286c0bf59f1ed42fa1a120d11e1a1e6fcccd17c2de09fd455bc15691588 ./results/msmarco_scale/best_tail_dev_results.json 456aff979399dbd5c86c5ba8611be8f55cfd12ee3cbcf12c854daa1e98ad7183 ./results/msmarco_scale/best_tail_validation.json 2080edeac2290696cae75818ee37a29a77db7f3cdad90c6c432652bf5d9c0151 ./results/msmarco_scale/branch_coherence_multifold.json 4fda0356558b1e52293a665d50710fc8513eb3fe99d652097218001c4bee4f42 ./results/msmarco_scale/early_lex_dev_results.json 2a46d2ac76df6d45d931bab49170736ba67c5099703ee1494f2db2490c0177e6 ./results/msmarco_scale/early_lex_direct_validation.json b69ee75e3825aabaf41c517ff26dffa85e6defc31b0b5d0c997c3928974b46f4 ./results/msmarco_scale/early_lex_quota_validation.json 3b9cd71620d34324fd09a945c08b9b286fb9a3f1df68bacb16d278a5a9580cbc ./results/msmarco_scale/early_lex_validation.json 7ce9d5063c5846789b22307e6ef1947ff365631c326e03560478cc828711d581 ./results/msmarco_scale/final_weight_sweep.json 50cfff01ff67e95c120bc2a74b297831e4340f1b5901284212144aeb60da3141 ./results/msmarco_scale/finish_final_weights_multifold.json 46960c3da65f74187bc7488157e35d4f8ac12cd54f73a0d6c45bc2e62bfa5ab3 ./results/msmarco_scale/finish_length_coord_multifold.json b03ddaf095e719d7afcb567c691a331ea882f4b456681f6cf2356cab329881ff ./results/msmarco_scale/finish_rare_final_multifold.json 1c77d32bd821a917c0e9374637443216d654c980c9f8d03e65b1e89596e580c4 ./results/msmarco_scale/finish_train_selected.json e00f042cd84a9c57eb138ec7bfb03b252d518bcc66ded057e174327274a9b0df ./results/msmarco_scale/full_msmarco_dev_fast_results.json ab5ee8e8b90403710065e6140f6e74e5e668d39656d95ef117641333d72a9026 ./results/msmarco_scale/full_msmarco_uniform1m_results.json 330a30e439448debe5c80d5b32ce023b3cb787edc546ad850f28b8d564ea36ca ./results/msmarco_scale/gamma_lambda_pool_diag.json 4b26c10a9b95496d2a539d231c6fa82e149078a38ef62d95a8948a2658584565 ./results/msmarco_scale/idf2_best_dev_results.json 5a2335041306f4b9383a579d025f4528d17eb1d646dd3203611fbb85e7634898 ./results/msmarco_scale/idf2_rare3_best_dev_results.json 331040b6b8dd492242f12d1726c19cbc9d62d467e028bd46d40d0113d28c2050 ./results/msmarco_scale/lambdaM_uniform1m_diag.json 62989bbec91a4245f63d8abe523d3ce5c41eb66026369753c87a77bea5eadb99 ./results/msmarco_scale/lambda_diag.json 586df61e3420e70706394dd6d1c9b524e86e4be3a182a7f7c98409717295db19 ./results/msmarco_scale/lex_idf_highpower_multifold.json 1da925fab863f7a5bec3fb713c258ff293a886e32170bb2f7e1e0f3dd652b1f5 ./results/msmarco_scale/lex_idf_power_multifold.json d4b3a4d3b6559d0a04f2c6e8623cb8540b830f64badb80ec349f5ed3913ab978 ./results/msmarco_scale/msmarco_p_sweep.json cd895b3f7ffb1d507664c375d0428ea31117554e1258e6654b27ff5bc31bb936 ./results/msmarco_scale/prelex_idf2_multifold.json 6a3be9341216f5823aba99dbed4f96e6d6475442e5d8206d4628133ddeeb5e0c ./results/msmarco_scale/preselection_finalists_validation.json ef819f51f1f67ba9c01329fb09c8705ca3efbbb0ef7062a2e61de9676b059def ./results/msmarco_scale/preselection_length_eta_sweep.json f232a88418ce998ba2254f66ac6ca10a33d4e0c632677b1397bc4e4b34bfab09 ./results/msmarco_scale/rare_conjunction_multifold.json 11567bb55e7034d6f2a034e640171d363247cb43a9923c22ce1fcae9bce6d996 ./results/msmarco_scale/semcoord_best_dev_results.json c1cddf7dd3a37b053343943cbc50c6aab2e99ea711c2e37e1d8f79ef071829ad ./results/msmarco_scale/structural_157_dev_results.json e6085f1053ded62f73eae034f00828b470001e83397544debf1a684710470a81 ./results/msmarco_scale/structural_best_dev_results.json 687e5a56d1cfa0c9f9c451e739be2ca03c636d6f1aede8ce23f644269abcdee7 ./results/reproduced_reference/README.md 44bd753e92decfdc59853dd7f42cdc4f7d2bc7348cd11f509510b597e5861c18 ./results/reproduced_reference/scifact_p100_clean_runner.json e1bbce4aa5b051ee3202b9276fc4b4a640d62e1e515f7e75da8add62fada9c31 ./results/reproduced_reference/treccovid_p100_clean_runner.json 44ae1b76607f0739feafec3a5d37f8dd3abc51ca3e688f8b887f29e460c5e516 ./scripts/reproduce_scifact.sh 12563e357724431247f9ae5da9b88b9a7c195c672f049d9175a5878ece556c06 ./scripts/reproduce_treccovid.sh f6339147fa6d437cd84115cc48ebe480392ce65b03acbf3d27d6acd11084aa85 ./tests/test_rag_utils.py 750a10f542eebe412ec5dab36469e6892cb590fd53e50328f2363cb81e383b73 ./tests/test_toy.py |