Direct Preference Optimization: Your Language Model is Secretly a Reward Model

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Large Language Models as Tool Makers

Scaling Data-Constrained Language Models

Improving Factuality and Reasoning in Language Models through Multiagent Debate

Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text | Journal of Artificial Intelligence Research

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

Language models can explain neurons in language models

The New World of LLM Functions: Integrating LLM Technology into the Wolfram Language

Open LLM Leaderboard - a Hugging Face Space by HuggingFaceH4

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

When AI’s Large Language Models Shrink

Enabling conversational interaction on mobile with LLMs

Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs

Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Science in the age of large language models - Nature Reviews Physics

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Generative AI entails a credit–blame asymmetry

From Fear to Action: AI Governance and Opportunities for All

StarCoder_paper.pdf

Fixie.ai — Build on LLMs

Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

LlamaIndex 0.6.0: A New Query Interface Over your Data

Low-code LLM: Visual Programming over LLMs

Hyena Hierarchy: Towards Larger Convolutional Language Models

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Emergent and Predictable Memorization in Large Language Models

Augmented Language Models: a Survey

Learning to Compress Prompts with Gist Tokens