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  1. Symbols and grounding in large language models | Philosophical ...

    • One of the most prominent arguments that LLMs cannot be models of language understanding in humans is that neural networks fundamentally lack the ability to encode abstract symbolic structure. This criticis… See more

    Empirical Data

    Large neural language models, of the type discussed in this article, have existed for roughly 5 years. Since their advent, much work has attempted to understand the internal working of these models, rather than treatin… See more

    Discrete Concepts

    A basic prerequisite of this definition of compositionality is the existence of discrete, modular representations of individual concepts, including representations of the roles that those concepts fill… See more

    Causality

    One way to show that neural networks contain more that just the basic prerequisites is to demonstrate a causalrelationship between the internal representation of the concepts (fillers or roles) and t… See more

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  2. Large language models (LLMs) are one of the most impressive achievements of artificial intelligence in recent years. However, their relevance to the study of language more broadly remains unclear. This article considers the potential of LLMs to serve as models of language understanding in humans.

    Learn more:

    Large language models (LLMs) are one of the most impressive achievements of artificial intelligence in recent years. However, their relevance to the study of language more broadly remains unclear. This article considers the potential of LLMs to serve as models of language understanding in humans.

    royalsocietypublishing.org/doi/10.1098/rsta.2022.0041

    Although Large Language Models (LLMs) demonstrate remarkable ability in processing and generating human-like text, they do have limitations when it comes to comprehending and expressing world knowledge that extends beyond the boundaries of natural language (e.g., chemical molecular formula).

    github.com/xufangzhi/Symbol-LLM

    Although Large Language Models (LLMs) demonstrate remarkable ability in processing and generating human-like text, they do have limitations when it comes to comprehending and expressing world knowledge that extends beyond the boundaries of natural language (e.g., chemical molecular formula).

    Large language models (LLMs) are one of the most impressive achievements of artificial intelligence in recent years. However, their relevance to the study of language more broadly remains unclear. This article considers the potential of LLMs to serve as models of language understanding in humans.

    pubmed.ncbi.nlm.nih.gov/37271171/

    Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models

     
  3. xufangzhi/Symbol-LLM: [ACL 2024] The project of …

    Oct 8, 2023 · Although Large Language Models (LLMs) demonstrate remarkable ability in processing and generating human-like text, they do have limitations when it comes to comprehending and expressing world knowledge that …

     
  4. Symbol-LLM: Towards Foundational Symbol-centric Interface For …

  5. Symbols and grounding in large language models - PubMed

  6. Symbol-LLM (Symbol-LLM) - Hugging Face

    Nov 15, 2023 · Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models

  7. Chain-of-Symbol Prompting (CoS) For Large …

    Jan 29, 2024 · Introducing CoS: This research proposes a method called Chain-of-Symbol Prompting (CoS) that represents spatial relationships with condensed symbols during chained intermediate thinking...

  8. Symbol ungrounding: what the successes (and failures) of large …

  9. Large language models, explained with a minimum of …

    Jul 27, 2023 · We’ll start by explaining word vectors, the surprising way language models represent and reason about language. Then we’ll dive deep into the transformer, the basic building block for systems like ChatGPT. Finally, we’ll …

  10. Large language model - Wikipedia

    A large language model (LLM) is a type of computational model designed for natural language processing tasks such as language generation. As language models, LLMs acquire these abilities by learning statistical relationships from …

  11. Symbol-LLM: Towards Foundational Symbol-centric Interface For …

  12. Symbols and grounding in large language models

  13. GSM-Symbolic: Understanding the Limitations of Mathematical …

  14. Large Language Model:. Introduction to Large Language Models

  15. Symbol-LLM - Fangzhi Xu

  16. What are large language models, and how do they work?

  17. SymDPO: Boosting In-Context Learning of Large Multimodal …

  18. Symbols and grounding in large language models | Philosophical ...

  19. Large Language Models: What You Need to Know in 2025

  20. Science in the age of large language models - Nature

  21. Symbols and grounding in large language models - PMC

  22. What are Large Language Models (LLMs)? — Developer-Written …

  23. Evaluation of large language models for discovery of gene set

  24. What are masked language models? | IBM

  25. Large Language Model with European Perspective - ien.eu