Unverified50% confidenceFactExact time
This research uses 250 synthetic VPIC simulation datasets for training and validation, of which 225 are used for training and 25 for independent validation, with a fixed reference electron β_e0=0.2.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe fine-tuning used 4,260 training samples and 474 evaluation samples, all of which were STEM question-and-answer data with chain-of-thought.69% similarUnverifiedMementoGUI的训练数据自动标注管道中，研究人员随机抽取200条轨迹做人工验证，197条被判定完全正确67% similarUnverifiedThe research team used the scorer to score 322,250,000 FineWeb-Edu-Fortified documents and constructed a curated pre-training data mixture.66% similarUnverifiedThe experimental evaluation metrics cover four dimensions: FID, number of trainable parameters, runtime, and GPU memory usage.66% similarUnverifiedGPTQ、AWQ等后训练量化方法能够在几乎不损失基准测试分数的情况下将70B参数量级模型部署在消费级GPU上66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1029450API
curl https://kongchang.com/api/v1/knowledge/claims/1029450MCP
get_claim(id=1029450)