7 research outputs found
Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
Human intelligence thrives on the concept of cognitive synergy, where
collaboration and information integration among different cognitive processes
yield superior outcomes compared to individual cognitive processes in
isolation. Although Large Language Models (LLMs) have demonstrated promising
performance as general task-solving agents, they still struggle with tasks that
require intensive domain knowledge and complex reasoning. In this work, we
propose Solo Performance Prompting (SPP), which transforms a single LLM into a
cognitive synergist by engaging in multi-turn self-collaboration with multiple
personas. A cognitive synergist refers to an intelligent agent that
collaborates with multiple minds, combining their individual strengths and
knowledge, to enhance problem-solving and overall performance in complex tasks.
By dynamically identifying and simulating different personas based on task
inputs, SPP unleashes the potential of cognitive synergy in LLMs. We have
discovered that assigning multiple, fine-grained personas in LLMs elicits
better problem-solving abilities compared to using a single or fixed number of
personas. We evaluate SPP on three challenging tasks: Trivia Creative Writing,
Codenames Collaborative, and Logic Grid Puzzle, encompassing both
knowledge-intensive and reasoning-intensive types. Unlike previous works, such
as Chain-of-Thought, that solely enhance the reasoning abilities in LLMs, SPP
effectively elicits internal knowledge acquisition abilities, reduces
hallucination, and maintains strong reasoning capabilities. Code, data, and
prompts can be found at:
https://github.com/MikeWangWZHL/Solo-Performance-Prompting.git.Comment: work in progres
Steadfastly Maintain Our Direction and Explore New Roads: Sixty Years of Socialist Practice in China
China's transition to markets: market-preserving federalism, chinese style
This paper studies the relationship between decentralization and the success of reform in China. We argue that a particular form of decentralization—called market-preserving federalism Chinese style—provides the critical foundations for market success. China's form of decentralization has served the critical purpose of creating markets at a time when political resistance to economic reform remained strong and when the durability of the reforms was important. Nonetheless, federalism, Chinese style, lacks some national public goods, and the new system needs to be institutionalized. We also highlight some parallels between the United States under the Articles of Confederation (1781-1787) and those of modern China.decentralization, federalism, reform, China, institution,
The 1994 tax reform and its impact on China's rural fiscal structure
10.1177/0097700408315987Modern China343303-34