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Academic Publication Applying large language models and chain-of-thought for automatic scoring
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When large language models meet personalization: perspectives of challenges and opportunities
AbstractThe advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large lan...
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
We introduce Graph of Thoughts (GoT): a framework that advances prompting capabilities in large language models (LLMs) beyond those offered by paradigms such as Chain-of-Thought or Tree of Thought...
Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals
As the health care industry increasingly embraces large language models (LLMs), understanding the consequence of this integration becomes crucial for maximizing benefits while mitigating potential ...
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role...
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
Abstract General reasoning represents a long-standing and formidable challenge in artificial intelligence (AI). Recent breakthroughs, exemplified by large language models (LLMs)1,2 and ch...
Frequently Asked Questions (FAQ)
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What is the core focus of the research titled 'Applying large language models and chain-of-thought for automatic scoring'?
This literature focuses on:
Are there open-source GitHub repositories related to Applying large language models and chain-of-thought for automatic scoring?
Yes, open-source projects like FreedomIntelligence/OpenClaw-Medical-Skills (The largest open-source medical AI skills library for OpenClaw🦞.) are actively building upon these concepts.
Which startups are commercializing the technology behind Applying large language models and chain-of-thought for automatic scoring?
Products like Ollang DX are bringing this to market. Their focus is: The AI Language Execution Layer for Enterprise.
What other academic literature is closely related to 'Applying large language models and chain-of-thought for automatic scoring'?
Yes, highly correlated activity was mapped. An entry titled 'When large language models meet personalization: perspectives of challenges and opportunities' discusses this: AbstractThe advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training...
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Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
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GitHubFreedomIntelligence/OpenClaw-Medical-Skills
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GitHubk2-fsa/OmniVoice
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Product HuntOllang DX
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Product HuntTiny Aya