GRPO fine-tuning with entropy-based stability rewards reduces output variability in LLMs for investment and job recommendations compared to baseline models.
The unequal opportunities of large language models: Examining demographic biases in job recommendations by chatgpt and llama
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Information-Consistent Language Model Recommendations through Group Relative Policy Optimization
GRPO fine-tuning with entropy-based stability rewards reduces output variability in LLMs for investment and job recommendations compared to baseline models.