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07/04/2023
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
Connectionist Temporal Classification (CTC) is a widely used criterion f...
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04/19/2023
Fundamental Limitations of Alignment in Large Language Models
An important aspect in developing language models that interact with hum...
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03/14/2023
The Learnability of In-Context Learning
In-context learning is a surprising and important phenomenon that emerge...
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04/06/2022
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
The field of Natural Language Processing (NLP) has experienced a dramati...
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10/09/2021
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Pretraining Neural Language Models (NLMs) over a large corpus involves c...
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05/09/2021
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
After their successful debut in natural language processing, Transformer...
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06/22/2020
Limits to Depth Efficiencies of Self-Attention
Self-attention architectures, which are rapidly pushing the frontier in ...
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02/11/2019
