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05/26/2023
Large Language Models as Tool Makers
Recent research shows the potential of enhancing the problem-solving abi...
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05/23/2023
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Given the massive cost of language model pre-training, a non-trivial imp...
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04/06/2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Contrastive learning is a highly effective method which uses unlabeled d...
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11/03/2021
An Explanation of In-context Learning as Implicit Bayesian Inference
Large pretrained language models such as GPT-3 have the surprising abili...
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08/27/2020
Entity and Evidence Guided Relation Extraction for DocRED
Document-level relation extraction is a challenging task which requires ...
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05/27/2020
MOPO: Model-based Offline Policy Optimization
Offline reinforcement learning (RL) refers to the problem of learning po...
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10/12/2018
On the Margin Theory of Feedforward Neural Networks
Past works have shown that, somewhat surprisingly, over-parametrization ...
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01/14/2016
Linear Algebraic Structure of Word Senses, with Applications to Polysemy
Word embeddings are ubiquitous in NLP and information retrieval, but it'...
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02/12/2015
