Unverified50% confidenceSolutionExact time
Key technologies for long-horizon agents include state representation learning, goal alignment mechanisms, and error detection and recovery strategies.
1
Sources
50%
Confidence
Long-term
Relevance
9/7/2026
First Seen
Sources
Related Entities
Related Claims
Unverified针对工具调用的强化学习训练通常采用执行反馈机制，将实际执行的成功/失败信号作为奖励，可大规模自动化70% similarUnverifiedRoBERTa相较于BERT的关键改进包括移除下一句预测（NSP）任务、使用动态掩码策略、采用更大的批次和更长的训练时间68% similarUnverifiedMethods such as freezing LLM backbone parameters during the visual alignment training phase, staged training, data ratio replay, and LoRA can mitigate catastrophic forgetting in multimodal training.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/874412API
curl https://kongchang.com/api/v1/knowledge/claims/874412MCP
get_claim(id=874412)