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LM-Infinite

by Illinois / Meta (Han et al.)

System Card

OrganizationIllinois / Meta (Han et al.)
Released2023-08
Architecturekv-cache-extension / Lambda-shaped attention mask + distance limit
DetailsZero-shot length generalization via a Lambda-shaped attention mask (to avoid over-attention) and a distance limit (to avoid unseen positional distances). No parameter updates required.
Parameters—
Domainlong-context
Open SourceYes
PaperView Paper
CodeRepository
naacl-2024outstanding-paperlength-generalizationzero-shot

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Data Transparency:6 estimated
Long-Context Retrieval
5/5
RULER
74.579pEstimated
NIAH
77.277pEstimated
LooGLE
77.759pEstimated
LongBench
603pEstimated
∞Bench
8588pEstimated
Multi-Turn Recall
0/2
LoCoMo
no data
MemoryBank
no data
Cross-Session Memory
0/1
LongMemEval
no data
Multi-Hop QA
1/3
BABILong
73.840pEstimated
MultiHop-RAG
no data
HotpotQA
no data
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:Arena estimate — derived from capability profile, not independently verified