Pearl: A Production-ready Reinforcement Learning Agent

On The Fairness Impacts of Hardware Selection in Machine Learning

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs | OpenReview

Pregeometry, Formal Language and Constructivist Foundations of Physics

Ruliology: Linking Computation, Observers and Physical Law

Dipolar spin-exchange and entanglement between molecules in an optical tweezer array

Evaluating and Mitigating Discrimination in Language Model Decisions

Gemini 1 report

Motile Living Biobots Self‐Construct from Adult Human Somatic Progenitor Seed Cells

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models

Scalable Extraction of Training Data from (Production) Language Models

Scaling deep learning for materials discovery

Diffusion Model Alignment Using Direct Preference Optimization

PsyArXiv Preprints | Folk Psychological Attributions of Consciousness to Large Language Models

Large Language Models as Optimizers

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming

Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Poe on X: "Introducing knowledge bases for Poe bots! Starting today, bot creators can now add knowledge bases to their bots, to create more unique experiences grounded in any sources they provide, complete with citations. (1/5) https://t.co/fyLzrDCipL" / X

Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure

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On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving

Diagnosing AI Explanation Methods with Folk Concepts of Behavior | Journal of Artificial Intelligence Research

Preventing Language Models From Hiding Their Reasoning

Role-Play with Large Language Models

Dell'Acqua, F., and others. (2023). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Harvard Business School Technology & Operations Mgt. Unit Working Paper, (24-013).

Levels of AGI: Operationalizing Progress on the Path to AGI

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Learning From Mistakes Makes LLM Better Reasoner

Will releasing the weights of large language models grant widespread access to pandemic agents?