Expired85% confidenceFactTime unknown
On the LongMemEval benchmark, MemPalace's pure retrieval scheme without using an LLM achieves a top-5 recall rate of 96.6%.
1
Sources
85%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
Valid until: 8/29/2026(expired)
Sources
Related Entities
Related Claims
UnverifiedAnother tuning scheme from MemPalace achieves a recall rate of 98.4% on questions in LongMemEval that were not used for parameter tuning.72% similarUnverifiedAccording to the LongMEM Eval benchmark, AgentMemory's retrieval accuracy reaches 95.2%, surpassing the similar project Mem0 by 27 percentage points.69% similarUnverifiedThe DeepSuite benchmark has a false positive rate of 44.9% and a false negative rate of 1.2%.63% similarUnverifiedMeituan LongCat launched the Lohosearch search agent benchmark, where the best score among 11 frontier models tested was only 34.74%, far below the approximately 90% human performance.63% similarUnverifiedDomestic models such as GLM5.1 have achieved scores on standard programming benchmarks like HumanEval and MBPP that are close to or even surpass some international competitors.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/3684API
curl https://kongchang.com/api/v1/knowledge/claims/3684MCP
get_claim(id=3684)