Fabio Petroni
5 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
2021 · arXiv (Cornell University)
Prompting language models (LMs) with training examples and task descriptions has been seen as critical to recent successes in few-shot learning. In this work, we show that finetuning LMs in the few-shot setting can considerably …
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Language Models as Knowledge Bases?
2019
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander Miller. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language …
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Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems
2026 · arXiv (Cornell University)
Affordance-Compiled Intelligence develops Cognitive Impedance Matching Theory (CIMT), an observable-only and no-meta protected compiler theory for LLM-integrated systems. The paper studies how a fixed model-policy can exhibit different operational capability when the surrounding world is …
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Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
2022 · Findings of the Association for Computational Linguistics: ACL 2022
Prompting language models (LMs) with training examples and task descriptions has been seen as critical to recent successes in few-shot learning. In this work, we show that finetuning LMs in the few-shot setting can considerably …
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Lost in the Middle: How Language Models Use Long Contexts
2024 · Transactions of the Association for Computational Linguistics
Abstract While recent language models have the ability to take long contexts as input, relatively little is known about how well they use longer context. We analyze the performance of language models on two tasks …