Unverified50% confidenceFactExact time
In about 66% of valid samples, the time interval indicated by the VLM's internal attention mechanism is more accurate than the timestamp output by the model's final prediction.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAttention kernels often account for 30% to 60% of total compute during large model training and inference.70% similarUnverifiedMeta、NVIDIA等公司的研究表明RAG在知识密集型任务上的准确率比纯参数记忆提高20%-40%68% similarUnverifiedExperimental data shows that when key information is located at the beginning and end of the input sequence, the model's retrieval accuracy can be as high as over 90%, but when located in the middle, it may drop sharply to below 60%.67% similarUnverifiedExperiments by the Long-Term team showed that using the same model with only adjustments to rule constraints and the memory system raised the score from 52.8% to 66.5%, jumping the ranking from Top 30 to Top 5.66% similarUnverifiedEvaluation results on current frontier MLLMs show that the models perform strongly on local perception tasks but are clearly weak in long-horizon audio-visual reasoning.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1073646API
curl https://kongchang.com/api/v1/knowledge/claims/1073646MCP
get_claim(id=1073646)