Unverified50% confidenceFactExact time
QERA (Question-driven Evidence Reasoning Architecture) is a question-driven evidence reasoning architecture whose core idea is to question the context before answering.
1
Sources
50%
Confidence
Long-term
Relevance
10/27/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMemory-grounded QA is a task paradigm specifically designed to evaluate whether a system can correctly utilize stored memories to answer questions, where answers must be traceable to specific entries in the memory store rather than relying on pretrained knowledge in the model's parameters69% similarVerifiedReasoning models, represented by OpenAI o1, DeepSeek-R1, and QwQ, have chain-of-thought expansion as their core mechanism, generating a large number of intermediate reasoning steps before producing a final answer.69% similarUnverified辩论式提示研究由OpenAI等机构推进，让多个模型实例相互辩论并由裁判模型综合判断，在数学推理和事实核查任务上能超越单次生成的准确率67% similarVerifiedQwen3 27B has thinking mode enabled by default, supports disabling thinking, and controls reasoning intensity via a Reasoning Effort parameter.65% similarVerifiedQwen3引入了'思考模式'（thinking mode），允许模型在回答前进行内部推理链展开，类似于OpenAI o1系列的Chain-of-Thought推理方式65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1102087API
curl https://kongchang.com/api/v1/knowledge/claims/1102087MCP
get_claim(id=1102087)