Large language models (LLM) have demonstrated emergent abilities in text generation,
question answering, and reasoning, facilitating various tasks and domains. Despite their …

This paper surveys research in the rapidly growing field of enhancing large language
models (LLMs) with reinforcement learning (RL), a technique that enables LLMs to improve …

While large language models perform well on a range of complex tasks (eg, text generation,
question answering, summarization), robust multi-step planning and reasoning remains a …

In this work, we study in-context teaching (ICT), where a teacher provides in-context
example rationales to teach a student to reasonover unseen cases. Human teachers are …

Large Language Models (LLMs) have displayed remarkable performances across various
complex tasks by leveraging Chain-of-Thought (CoT) prompting. Recently, studies have …

Retrieval-augmented generation (RAG) has shown promising potential to enhance the
accuracy and factuality of language models (LMs). However, imperfect retrievers or noisy …

This paper explores advanced prompting strategies for hyperpartisan news detection using
the Llama3-8b-Instruct model, an open-source LLM developed by Meta AI. We evaluate zero …