On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning

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Transformer LLMs are Turing Complete after all !?

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Andrew Lampinen | Language models show human-like content effects on reasoning

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Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

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Nick Shea: The Importance of Logical Reasoning and Its Emergence in Deep Neural Networks

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#91 - HATTIE ZHOU - Teaching Algorithmic Reasoning via In-context Learning #NeurIPS

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Generative Latent Space Reasoning

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Jason Wei: Scaling Paradigms for Large Language Models

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ICML 2024 Tutorial: Physics of Language Models

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Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

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Towards Neuro-Symbolic AI with Knowledge Graphs and Large Language Models | Sören Auer

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Day 7 - C. Lebiere: From Large Language Models to Cognitive Architectures

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Stanford CS25: V1 I Transformer Circuits, Induction Heads, In-Context Learning

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KRHCAI 2021 Invited Talk by Antoine Bosselut: Symbolic Scaffolds for Neural Commonsense Reasoning

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Using Large Language Models in the DoD Context

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How AI Took Over The World

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Integrating Cognitive AI with Generative Models for Enhanced Question Answering in Skill

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Better not Bigger: Distilling LLMs into Specialized Models

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Lecture 1 | Natural Language Processing with Deep Learning

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Interpretable Representations and Neuro-symbolic Methods in Deep Learning | Jan Stühmer

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Xavier Bresson - Integrating Large Language Models and Graph Neural Networks - LoG 2024 Keynote

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On the Role of Large Language Models in Planning (AAAI 2024 Tutorial Part 1)

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A Survey on Large Language Models with some Insights on their Capabilities and Limitations

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Steven Sloman -- The Limits of Causal Reasoning in Human and Machine Learning

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Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs