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Found 3 papers, 1 papers with code
Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
Games are a simplified model of reality and often serve as a favored platform for Artificial Intelligence (AI) research.
Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning
Instruction tuning for large language models (LLMs) has gained attention from researchers due to its ability to unlock the potential of LLMs in following instructions.
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
With most of the related literature in the era of LLM uncharted, we propose an automated workflow that copes with an upscaled number of queries/responses.
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