Oct 23 22 days ago 16:32 Add the Greptile and ReviewBench benchmark data (#45 ) - Add the Greptile and ReviewBench benchmark data (1a6db7ff704d61a7b1378029a8b4f67d12315266)
- Add the released perch 0.4.8 on Jev to both benchmarks (a148f8c1e105f94d379acc9437e23e16d13cf886) Oct 13 18:38 Rerun SubQ with full method context (#43 ) - Rerun SubQ with full method context (516fa6fa1fb672be8216e1a37f7beb13d24bd1f1) 16:03 Add SubQ Snap benchmark results (#42 ) - Add SubQ Snap benchmark results (b31ccab3783d5a73f1ddc4ffbc8ebfd934648f22) Oct 12 19:25 Remove failed requests from benchmark tables (#41 ) - Remove failed requests from benchmark tables (66ecefd4829314346775ade0e9bd65ebfd7f8085)
- Distinguish benchmark models with colors and shapes (1f98f74d7c2eaa2594596dfce5a3cfe6c34f19e5) 17:49 Plot benchmark performance against inference cost (#40 ) - Plot benchmark performance against inference cost (cd67583812688815b1c0b80a9f8ddfc2127885a8) 17:09 Add Mercury and Microsoft decision benchmarks (#39 ) - Add Mercury Decide benchmark results (305c895395ab08325224e076cdc9e50c557dfc92)
- Add Microsoft Decision 1 benchmark results (df01fc6205e02e20269955dbf2593c9a71a69f4a) Oct 8 19:32 Describe the benchmark as a test of SystemOne decision models (#38 ) - Describe the benchmark as a test of SystemOne decision models (2890e5fd2d20dbe0d3be68d600f61a0994b01631) 18:37 Add CC BY 4.0 license and source credits (#37 ) - Add CC BY 4.0 license and source credits (17348c4bcf59b77e983db0b14678867472180fdf) 17:49 Show recall against false positive rate (#30 ) - Align benchmark curves with table alert rules (dcaa711548ae2643f957ad86595059223db7e935)
- Show recall against false positive rate (58161df591b6c02ac1a0cd0630119f22dd5dd35c) 17:36 Update GPT-6 Luna benchmark results (#36 ) - Add Decisions choice benchmark (b7be346ed78ca544ac47b7e356864d6ca80f1594)
- Update GPT-6 Luna benchmark results (6dfdfdd3b71bc14191087358610d0e3dcde9abdd)
- Show model separation in benchmark graphs (9381ba02de0cdb4fa7bb551173a10aa992dab116) Oct 7 02:03 Add OpenAI Decisions benchmark results (#35 ) - Add OpenAI Decisions benchmark results (00c1490ff3cdcf050999766fc8e966907fc675a5)
- Standardize benchmark graphs (221ee22a7ea069655fad6a8563d912f30f7785f9) Oct 5 03:00 Update completed CodeQL benchmark results (#34 ) - Scan all eligible CodeQL benchmark pairs (c8b91c2c8453b21bd55bada2ef0b3d805a51e392)
- Update completed CodeQL benchmark results (e5351c3f7e5bc0df66de5ae4f62efb16a46ff931) Oct 2 21:44 Add GLiNER-2.5-Decide benchmark results (#33 ) - feat: benchmark GLiNER-2.5-Decide (f1540c49c26f00793c43247b5e6ae6c254be9222)
- fix: size Decide benchmark requests with Perch (a5891f1d9b0f02592878a56c584e08657a2a2f44) Oct 1 21:25 Show CodeQL in the bug and security benchmark tables (#32 ) - Include CodeQL in bug and security result tables (d0cb15591a65d1bedc230bb828f9079e353e1a2f) 20:34 Compare CodeQL and Jev on matched public methods (#31 ) - Add matched CodeQL benchmark comparison (ae8330811ada99719df1fba7d37dd98d62bf3f25) Sep 30 19:12 Rank results by recall minus false alerts and rescale charts (#29 ) - Rank benchmark results by recall minus false alerts (ed841cee298d885d1b5b11fbcef27e3ab50ab484)
- Show false positives as percentages of clean methods (f0583ba7a1450e531429eb66d7485002dd97ac6c)
- Highlight benchmark column winners (57cf3a020c0be4413961b62aaf0bb477a14a0614) 17:22 Compare benchmark recall against false alerts (#28 ) - Show benchmark recall versus false-alert tradeoffs (ebf2345c8f2a7d9158feb6f10a210eef12cbc765)
- Clarify plotted alert settings (bc1a9aebad2ff730956381fdf3e8e912ee26c16d) 16:14 Add TypeLLM benchmark results (#27 ) - Add TypeLLM benchmark results (ac01d0697c8a55229f690b5986ea0b173cb6470a) 00:47 Remove benchmark chart from dataset card (#26 ) - Remove benchmark chart from dataset card (42611b0684b0728b51e1ca897f1ed117110d4f3f) 00:43 Update Jev and Liquid bug benchmark results (#25 ) - Update Jev and Liquid bug benchmark results (c636ba3c324d4d2d3980ee364b88f1e477f8bbd5)
- Keep benchmark card neutral (e5675abe06fb7479cb45cdefb1185dc908b8dda1) Sep 29 20:28 Add Liquid d1 benchmark results (#24 ) - Add Liquid d1 benchmark results (401d5c862fbde2cfebfcc653158e781981cc7ba2)
- Add public Lint Bench graphic (22442de02597f7851b26224ee2ccc17105cf78d9) Sep 28 19:37 Add Span-01 results and benchmark runner (#23 ) - Add Span-01 results and benchmark runner (59ceae0f2059cb0570244987e51d015b09d8cbe6)
- Record inference sources for benchmark models (46e065cc8e8f1a6f7f6c6e6d087d5ad3bddef18e)
- Add Jev semantic lint inference cost (a58e8af2800be0dc722c52829b8724f86eaad12b) 18:45 Rank benchmark tables by AP and call out always-alert security models (#22 ) - Rank benchmark tables by AP and call out always-alert security models (7bc45250a742d659f3f2d2cf9e063a1331102ebc) 18:25 Use configured bug and security floors and 70% semantic lint cutoff (#21 ) - Use configured bug and security floors and 70% semantic lint cutoff (b861a3edf636a0bf8d24f00240d4440a9b4e1a1d) 17:56 Add 50% floor results for current Perch question pack across three benchmarks (#20 ) - Add 50% floor results for current Perch question pack across three benchmarks (c3a7d9c73cbd13a5787cfab0416ffbdc8502f4a3) 16:26 Update benchmark runners for current Perch scan questions (#17 ) - Update benchmark runners for current Perch scan questions (6c6b5fd032e62177a5f1bf41cdd23099e38c22ea) Sep 27 21:22 Publish auditable Perch Lint Bench scores (#19 ) - Publish auditable Perch Lint Bench scores (11e019b0cbc9402c0f218de7d53c110f3912db25) 21:21 Add combined Perch Lint Bench results (#18 ) - Add combined Perch Lint Bench results (ae07d8b5842e22f3cd180f58b288f26d5161b2f9) Sep 26 20:14 Clarify metrics and add inference costs (#16 ) - Make benchmark metrics easier to read (4c7eaecdb0159f0108d029a8e00c26a57df4e054)
- Add measured benchmark inference costs (069f4fd231c188352f0a2a88fae86d14ce464518) 19:48 Remove SecureBERT from benchmark rankings (#15 ) - Remove SecureBERT from benchmark rankings (279a525d191066e434ddaeb42796c72c22cacbd9) 19:42 Rank benchmark results by F1 and highlight metric leaders (#14 ) - Rank benchmark results by F1 and highlight metric leaders (a9e4064b67eba75830802b21d008c8d8da6eb511) 05:54 Link Perch website from benchmark card (#13 ) - Link Perch website from benchmark card (bf59137a50708645322be3006ad0863546f2cbdd) 05:51 Introduce Jev and System One classifiers in benchmark overview (#12 ) - Introduce Jev and System One classifiers in benchmark overview (d4beae58ebf9edeee517225f4a81fc39cb7abe0c) 05:47 Add benchmark adapters for released models (#11 ) - Add benchmark adapters for released models (50d9cbaef4a1bfaeb8d3c8108d8dfb384add9f84) 05:38 Publish runnable public benchmark evaluator (#10 ) - Publish runnable public benchmark evaluator (a8dd27f8e3a00809e6c77bb393443cfd51a36d8d) 05:16 Simplify benchmark pair description (#9 ) - Simplify benchmark pair description (46b06cc5ccdc0f8bfa9c0eb0e16c870673163bc0) 05:15 Disable dataset viewer on results card (#8 ) - Disable dataset viewer on results card (8908175f09bc6fb024c0c7c3f932073a47a07f98) 05:14 Remove dataset caveat paragraph from results card (#7 ) - Remove dataset caveat paragraph from results card (eed556d4def8aa43b5ee5e01ccc26aa5a59f740a) 05:13 Remove protocol and checkpoint section from benchmark card (#6 ) - Remove protocol and checkpoint section from benchmark card (2a498d39eed806cf0232e1ff73c3d3cb7ae7f891) 05:11 Describe Perch method-pair benchmark and unify model tables (#5 ) - Describe Perch method-pair benchmark and unify model tables (496776fe145e8585004c9f8575a59d247befdf7b) 05:08 Link model cards and explain result columns (#4 ) - Link model cards and explain result columns (5a826be5c3d1116975609b6536e71d834931e62d) 05:05 Remove private-score limitation paragraph (#3 ) - Remove private-score limitation paragraph (1bb7783830943693efb695c151688689c7c7ec53) 05:01 Clarify pair-order and fixed-cutoff columns (#2 ) - Clarify pair-order and fixed-cutoff columns (a588920c33e09768d096279abb50281cd2062595) 04:59 Publish public and private split benchmark results (#1 ) - Publish public and private split benchmark results (eaa3d5bb74b2202915229cd04b9f712532ca0814) 04:58 initial commit 
