Hongyin Luo | DeepAI

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∙ 09/07/2023

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Despite their impressive capabilities, large language models (LLMs) are ...

0 Yung-Sung Chuang, et al. ∙

∙ 05/26/2023

Entailment as Robust Self-Learner

Entailment has been recognized as an important metric for evaluating nat...

0 Jiaxin Ge, et al. ∙

∙ 04/16/2023

Chain of Thought Prompt Tuning in Vision Language Models

Language-Image Pre-training has demonstrated promising results on zero-s...

0 Jiaxin Ge, et al. ∙

∙ 04/07/2023

Interpretable Unified Language Checking

Despite recent concerns about undesirable behaviors generated by large l...

0 Tianhua Zhang, et al. ∙

∙ 03/10/2023

Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning

Due to their similarity-based learning objectives, pretrained sentence e...

0 Hongyin Luo, et al. ∙

∙ 06/14/2021

Mitigating Biases in Toxic Language Detection through Invariant Rationalization

Automatic detection of toxic language plays an essential role in protect...

0 Yung-Sung Chuang, et al. ∙

∙ 06/06/2021

Meta-learning for downstream aware and agnostic pretraining

Neural network pretraining is gaining attention due to its outstanding p...

0 Hongyin Luo, et al. ∙

∙ 03/12/2021

Cooperative Learning of Zero-Shot Machine Reading Comprehension

Pretrained language models have significantly improved the performance o...

0 Hongyin Luo, et al. ∙

∙ 01/24/2021

Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks

In this work, we propose a novel goal-oriented dialog task, automatic sy...

0 Hongyin Luo, et al. ∙

∙ 05/19/2020

Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption

Spoken dialog systems have seen applications in many domains, including ...

0 Hongyin Luo, et al. ∙

∙ 06/04/2019

Improving Neural Language Models by Segmenting, Attending, and Predicting the Future

Common language models typically predict the next word given the context...

0 Hongyin Luo, et al. ∙

∙ 02/23/2017

Bidirectional Backpropagation: Towards Biologically Plausible Error Signal Transmission in Neural Networks

The back-propagation (BP) algorithm has been considered the de-facto met...

0 Hongyin Luo, et al. ∙

∙ 01/05/2016

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks

The performance of deep neural networks is well-known to be sensitive to...

0 Jie Fu, et al. ∙

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