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cs.CL2024
Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry
Anurag Acharya, Shivam Sharma, Robin Cosbey +3
A proliferation of Large Language Models (the GPT series, BLOOM, LLaMA, and more) are driving forward novel development of multipurpose AI for a variety of tasks, particularly natu…
cs.CL2022
Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding
Matthew Setzler, Scott Howland, Lauren Phillips
Compositional generalization is a troubling blind spot for neural language models. Recent efforts have presented techniques for improving a model's ability to encode novel combinat…