Search Results for author: Yue Guo

Found 16 papers, 7 papers with code

Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts

no code implementations ACL 2022 Yue Guo, Yi Yang, Ahmed Abbasi

Specifically, we propose a variant of the beam search method to automatically search for biased prompts such that the cloze-style completions are the most different with respect to different demographic groups.

Fairness

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation

no code implementations25 Dec 2023 Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song

Although many applications require the use of knowledge for explanations, the utilization of abductive reasoning in conjunction with structured knowledge, such as a knowledge graph, remains largely unexplored.

Knowledge Graphs Logical Reasoning

Personalized Jargon Identification for Enhanced Interdisciplinary Communication

no code implementations16 Nov 2023 Yue Guo, Joseph Chee Chang, Maria Antoniak, Erin Bransom, Trevor Cohen, Lucy Lu Wang, Tal August

We collect a dataset of over 10K term familiarity annotations from 11 computer science researchers for terms drawn from 100 paper abstracts.

Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

no code implementations19 Oct 2023 Yue Guo, Zian Xu, Yi Yang

This study compares the performance of encoder-only language models and the decoder-only language models.

Language Modelling

Explaining Agent Behavior with Large Language Models

no code implementations19 Sep 2023 Xijia Zhang, Yue Guo, Simon Stepputtis, Katia Sycara, Joseph Campbell

Intelligent agents such as robots are increasingly deployed in real-world, safety-critical settings.

counterfactual Hallucination +2

Introspective Action Advising for Interpretable Transfer Learning

no code implementations21 Jun 2023 Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia Sycara

Transfer learning can be applied in deep reinforcement learning to accelerate the training of a policy in a target task by transferring knowledge from a policy learned in a related source task.

Transfer Learning

APPLS: Evaluating Evaluation Metrics for Plain Language Summarization

1 code implementation23 May 2023 Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, Lucy Lu Wang

In response, we introduce POMME, a new metric designed to assess text simplification in PLS; the metric is calculated as the normalized perplexity difference between an in-domain and out-of-domain language model.

Informativeness Language Modelling +2

A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms

no code implementations22 Nov 2022 Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis

Meta-learning of numerical algorithms for a given task consists of the data-driven identification and adaptation of an algorithmic structure and the associated hyperparameters.

Inductive Bias Meta-Learning

Explainable Action Advising for Multi-Agent Reinforcement Learning

1 code implementation15 Nov 2022 Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara

This allows the student to self-reflect on what it has learned, enabling advice generalization and leading to improved sample efficiency and learning performance - even in environments where the teacher is sub-optimal.

Multi-agent Reinforcement Learning reinforcement-learning +2

Retrieval augmentation of large language models for lay language generation

1 code implementation7 Nov 2022 Yue Guo, Wei Qiu, Gondy Leroy, Sheng Wang, Trevor Cohen

Recent lay language generation systems have used Transformer models trained on a parallel corpus to increase health information accessibility.

Explanation Generation Retrieval +1

Personalized Algorithm Generation: A Case Study in Learning ODE Integrators

2 code implementations4 May 2021 Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li

As a case study, we develop a machine learning approach that automatically learns effective solvers for initial value problems in the form of ordinary differential equations (ODEs), based on the Runge-Kutta (RK) integrator architecture.

Meta-Learning

Automated Lay Language Summarization of Biomedical Scientific Reviews

1 code implementation23 Dec 2020 Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen

Health literacy has emerged as a crucial factor in making appropriate health decisions and ensuring treatment outcomes.

Data Augmentation

Learning Modulated Loss for Rotated Object Detection

2 code implementations19 Nov 2019 Wen Qian, Xue Yang, Silong Peng, Yue Guo, Junchi Yan

Popular rotated detection methods usually use five parameters (coordinates of the central point, width, height, and rotation angle) to describe the rotated bounding box and l1-loss as the loss function.

Ranked #40 on Object Detection In Aerial Images on DOTA (using extra training data)

Object object-detection +2

Surface Defect Saliency of Magnetic Tile

1 code implementation24 Aug 2018 Yibin Huang, Congying Qiu, Yue Guo, Xiaonan Wang, and Kui Yuan

Vision-based detection on surface defects has long postulated in the magnetic tile automation process.

 Ranked #1 on Anomaly Detection on Surface Defect Saliency of Magnetic Tile (Segmentation AUROC metric, using extra training data)

Anomaly Detection Defect Detection +1

Cannot find the paper you are looking for? You can Submit a new open access paper.