Unverified50% confidenceFactExact time
Research finds that when a prompt assigns the model the role of a rigorous academic researcher, both its citation density and authenticity are significantly higher than in a general conversational role.
1
Sources
50%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
如何科学测试提示词对LLM引用行为的影响
redditr/learnmachinelearning7/9/2026
Related Claims
Unverified作者提出用表达力、洞察力、认知深度、解决问题能力四个实测标准判断大模型真实水平，比第三方跑分更贴近真实使用体验72% similarUnverifiedPrompt engineering does not lower the threshold for research; rather, it transforms researchers' professional knowledge into a new form of expression—writing detailed prompts itself requires deep professional understanding of the relevant field.69% similarUnverifiedResearch shows that human evaluators in RLHF tend to prefer longer, more detailed, and friendlier-toned responses, even when those responses are not superior in factual accuracy.68% similarUnverifiedTop-tier models have approached the level of human judges on many evaluation tasks, but exhibit biases such as a tendency to give higher scores to longer responses68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/607129API
curl https://kongchang.com/api/v1/knowledge/claims/607129MCP
get_claim(id=607129)