✨Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models 📝 Summary: Language models typically give one answer, but many tasks have multiple solutions. This paper presents multi-answer RL, allowing LMs to generate multiple plausible answers with confidence in a single pass, improving diversity, accuracy, and computational efficiency. 🔹 Publication Date: Published on Mar 25 🔹 Paper Links: • arXiv Page: https://arxiv.org/abs/2603.24844 • PDF: https://arxiv.org/pdf/2603.24844 • Project Page: https://multi-answer-rl.github.io/ • Github: https://github.com/ishapuri/multi_answer_rl ================================== For more data science resources: ✓ https://t.me/DataScienceT #AI #DataScience #MachineLearning #HuggingFace #Research