ReMe/benchmark
WQS ed74122cc8
feat: add ReMe Image evaluation on MemLens (#640)
* feat(benchmark): add MemLens-256K reproduction

* fix(benchmark): declare Pillow for MemLens images

* fix(benchmark): retain MemLens usage and auditable failures

* fix(benchmark): preserve MemLens diagnostic schemas during redaction

* refactor(memlens): complete review cleanup and condense regression tests

* fix(memlens): preserve nested usage fields during diagnostic redaction

* test(memlens): simplify response schema collision coverage

* refactor(memlens): simplify diagnostics and summary aggregation

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Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
2026-10-26 15:07:16 +08:00
..
beam Separate benchmark judge plugins (#535) 2026-09-10 20:16:46 +08:00
compaction refactor: generalize decision models and add recoverable context compaction (#626) 2026-10-19 17:56:30 +08:00
longmemeval Separate benchmark judge plugins (#535) 2026-09-10 20:16:46 +08:00
memlens feat: add ReMe Image evaluation on MemLens (#640) 2026-10-26 15:07:16 +08:00
pibench feat(benchmark): extract BEAM and LongMemEval into standalone plugins (#512) 2026-09-03 14:06:39 +08:00
toolmemory docs: rebuild documentation site with VitePress (#518) 2026-09-04 14:50:50 +08:00