#83 Dr. ANDREW LAMPINEN (Deepmind) - Natural Language, Symbols and Grounding [NEURIPS2022 UNPLUGGED]

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Recorded04 Dec 2022

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First in our unplugged series live from #NeurIPS2022 We discuss natural language understanding, symbol meaning and grounding and Chomsky with Dr. Andrew Lampinen from DeepMind. We recorded a LOT of material from NeurIPS, keep an eye out for the uploads. YT version: https://youtu.be/46A-BcBbMnA References [Paul Cisek] Beyond the computer metaphor: Behaviour as interaction https://philpapers.org/rec/CISBTC Linguistic Competence (Chomsky reference) https://en.wikipedia.org/wiki/Linguistic_competence [Andrew Lampinen] Can language models handle recursively nested grammatical structures? A case study on comparing models and humans https://arxiv.org/abs/2210.15303 [Fodor et al] Connectionism and Cognitive Architecture: A Critical Analysis https://ruccs.rutgers.edu/images/personal-zenon-pylyshyn/proseminars/Proseminar13/ConnectionistArchitecture.pdf [Melanie Mitchell et al] The Debate Over Understanding in AI's Large Language Models https://arxiv.org/abs/2210.13966 [Gary Marcus] GPT-3, Bloviator: OpenAI’s language generator has no idea what it’s talking about https://www.technologyreview.com/2020/08/22/1007539/gpt3-openai-language-generator-artificial-intelligence-ai-opinion/ [Bender et al] On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? https://dl.acm.org/doi/10.1145/3442188.3445922 [Adam Santoro, Andrew Lampinen et al] Symbolic Behaviour in Artificial Intelligence https://arxiv.org/abs/2102.03406 [Ishita Dasgupta, Lampinen et al] Language models show human-like content effects on reasoning https://arxiv.org/abs/2207.07051 REACT - Synergizing Reasoning and Acting in Language Models https://arxiv.org/pdf/2210.03629.pdf https://ai.googleblog.com/2022/11/react-synergizing-reasoning-and-acting.html [Fabian Paischer] HELM - History Compression via Language Models in Reinforcement Learning https://ml-jku.github.io/blog/2022/helm/ https://arxiv.org/abs/2205.12258 [Laura Ruis] Large language models are not zero-shot communicators https://arxiv.org/pdf/2210.14986.pdf [Kumar] Using natural language and program abstractions to instill human inductive biases in machines https://arxiv.org/pdf/2205.11558.pdf Juho Kim https://juhokim.com/

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