Unverified50% confidenceFactExact time
The study sampled 1,242 English-only prompts from six data sources: Dolly-15k, LMSYS-Chat-1M, WildChat-1M, MMLU, GSM8K, and HellaSwag
1
Sources
50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
Related Entities
Related Claims
Unverified可以利用ChatGPT批量生成Wildcards词汇列表,利用LLM的世界知识和指令遵循能力进行知识枚举60% similarUnverifiedCompetitors in the long-document Q&A space include general-purpose tools such as ChatGPT's file upload and Google NotebookLM.60% similarUnverifieddatabricks-dolly-15k是Databricks于2023年开源的指令数据集,包含约15000条员工人工撰写的问答对59% similarUnverifiedThe Gap Map open-source data package contains 1,184 YAML files (structured product entries), notebooks for data collection, a data schema, and auxiliary scripts58% similarUnverified本地部署的7B至14B参数模型(如Llama 3、Qwen2.5、GLM-4)已具备足够文本理解能力完成隐私文档分析任务58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/921789API
curl https://kongchang.com/api/v1/knowledge/claims/921789MCP
get_claim(id=921789)