Unverified50% confidenceBenchmarkExact time
Under a 16-bit watermark payload, GAMW's decoding accuracy in the composite-perturbation scenario is 23.5 percentage points higher than the strongest baseline method.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDuring the LLM sequential decoding stage, a pipeline-parallel cluster exchanges activation tensors rather than model weights; taking hidden dimension d=3584 as an example, at FP32 precision this is about 14.3KB per token, and after symmetric INT8 dynamic quantization it is only 5.1KB per hop on the network.66% similarUnverifiedThe arithmetic intensity of the decoding stage in LLM autoregressive generation is extremely low: for a 7B-parameter FP16 model, one forward pass requires loading approximately 14 GB of weights but executes only about 14 GFLOPs of computation, resulting in an arithmetic intensity of approximately 1 FLOP/Byte, making it a bandwidth-bound workload.63% similarUnverifiedGGUF 量化格式可将FP16或BF16精度模型压缩至4-bit乃至2-bit精度62% similarUnverified采用LoRA等参数高效微调技术，需要16GB以上显存62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1028710API
curl https://kongchang.com/api/v1/knowledge/claims/1028710MCP
get_claim(id=1028710)