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Selfmem

by Tsinghua / Microsoft (Cheng et al.)

System Card

OrganizationTsinghua / Microsoft (Cheng et al.)
Released2023-05
Architecturevector-rag / Iterative self-retrieval (generator feeds its own memory)
DetailsRetrieval-augmented generator iteratively produces outputs that a memory selector then chooses as retrieval targets for the next round, forming an unbounded self-memory pool rather than a fixed corpus.
Parameters—
Domainrag-retrieval
Open SourceYes
PaperView Paper
CodeRepository
neurips-2023self-retrievaltranslationsummarization

Capability Profile

Benchmark Scores

5 of 14 benchmarks
Data Transparency:5 estimated
Long-Context Retrieval
2/5
RULER
68.424pEstimated
NIAH
no data
LooGLE
no data
LongBench
603pEstimated
∞Bench
no data
Multi-Turn Recall
0/2
LoCoMo
no data
MemoryBank
no data
Cross-Session Memory
0/1
LongMemEval
no data
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
6932pEstimated
HotpotQA
62.421pEstimated
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
67.136pEstimated
Sources:Arena estimate — derived from capability profile, not independently verified