Search Results for author: Rui Zheng

Found 40 papers, 22 papers with code

PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack

no code implementations COLING 2022 Rui Zheng, Rong Bao, Qin Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu

To reduce the potential side effects of using defense modules, we further propose a novel forgetting restricted adversarial training, which filters out bad adversarial examples that impair the performance of original ones.

Adversarial Attack Domain Adaptation +2

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals

no code implementations24 Mar 2024 Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang

We first empirically show that the features of either clean signals or adversarial perturbations are redundant and span in low-dimensional linear subspaces respectively with minimal overlap, and the classical low-dimensional subspace projection can suppress perturbation features out of the subspace of clean signals.

Adversarial Defense

Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards

no code implementations12 Mar 2024 Wei Shen, Xiaoying Zhang, Yuanshun Yao, Rui Zheng, Hongyi Guo, Yang Liu

Reinforcement learning from human feedback (RLHF) is the mainstream paradigm used to align large language models (LLMs) with human preferences.


DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation

1 code implementation4 Mar 2024 Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang

We construct the DACO dataset, containing (1) 440 databases (of tabular data) collected from real-world scenarios, (2) ~2k query-answer pairs that can serve as weak supervision for model training, and (3) a concentrated but high-quality test set with human refined annotations that serves as our main evaluation benchmark.

2k Code Generation

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution

no code implementations18 Feb 2024 Nuo Xu, Jun Zhao, Can Zu, Sixian Li, Lu Chen, Zhihao Zhang, Rui Zheng, Shihan Dou, Wenjuan Qin, Tao Gui, Qi Zhang, Xuanjing Huang

To address this issue, we propose a cost-effective preference learning strategy, optimizing reward models by distinguishing between human and machine translations.

Machine Translation Translation

Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices

no code implementations17 Feb 2024 Hongye Zeng, Ke Zou, Zhihao Chen, Yuchong Gao, Hongbo Chen, Haibin Zhang, Kang Zhou, Meng Wang, Rick Siow Mong Goh, Yong liu, Chang Jiang, Rui Zheng, Huazhu Fu

Moreover, the models trained on standard ultrasound device data are constrained by training data distribution and perform poorly when directly applied to handheld device data.

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

1 code implementation8 Feb 2024 Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, wei he, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

In this paper, we propose R$^3$: Learning Reasoning through Reverse Curriculum Reinforcement Learning (RL), a novel method that employs only outcome supervision to achieve the benefits of process supervision for large language models.

GSM8K reinforcement-learning +1

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback

1 code implementation21 Jan 2024 Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin

This reliance limits the applicability of RLHF and hinders the development of professional assistants tailored to diverse human preferences.

Neural Implicit Surface Reconstruction for Freehand 3D Ultrasound Volumetric Point Clouds with Geometric Constraints

no code implementations11 Jan 2024 Hongbo Chen, Logiraj Kumaralingam, Edmond H. M. Lou, Kumaradevan Punithakumar, Jiawen Li, Thanh-Tu Pham, Lawrence H. Le, Rui Zheng

In this study, we introduce a self-supervised neural implicit surface reconstruction method to learn the signed distance functions (SDFs) from freehand 3D US volumetric point clouds.

Anatomy Surface Reconstruction

LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

1 code implementation15 Dec 2023 Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Jun Zhao, Wei Shen, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Xiaoran Fan, ShiLiang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

Supervised fine-tuning (SFT) is a crucial step for large language models (LLMs), enabling them to align with human instructions and enhance their capabilities in downstream tasks.

Language Modelling Multi-Task Learning +1

Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation

no code implementations15 Nov 2023 Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu

This method trains the model to prioritize the best responses from a pool of candidates created for a particular task.

Question Answering Response Generation

Orthogonal Subspace Learning for Language Model Continual Learning

1 code implementation22 Oct 2023 Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang

In this paper, we propose orthogonal low-rank adaptation (O-LoRA), a simple and efficient approach for continual learning in language models, effectively mitigating catastrophic forgetting while learning new tasks.

Continual Learning Language Modelling

RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms

no code implementations17 Oct 2023 Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang

Reports of human-like behaviors in foundation models are growing, with psychological theories providing enduring tools to investigate these behaviors.

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback

no code implementations8 Oct 2023 Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang

Reinforcement learning from human feedback serves as a crucial bridge, aligning large language models with human and societal values.

Language Modelling

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

1 code implementation23 May 2023 Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Tao Gui, Qi Zhang, Xuanjing Huang

To enhance the multi-step reasoning capabilities of large language models, researchers have extensively explored prompting methods, notably the Chain-of-Thought (CoT) method which explicitly elicits human-like rationales.


Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization

1 code implementation20 May 2023 Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

Models trained with empirical risk minimization (ERM) are revealed to easily rely on spurious correlations, resulting in poor generalization.

Out-of-Distribution Generalization text-classification +1

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks

no code implementations1 Mar 2023 Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie zhou, Tao Gui, Qi Zhang, Xuanjing Huang

The GPT-3. 5 models have demonstrated impressive performance in various Natural Language Processing (NLP) tasks, showcasing their strong understanding and reasoning capabilities.

Natural Language Inference Natural Language Understanding +1

Automatic Diagnosis of Carotid Atherosclerosis Using a Portable Freehand 3D Ultrasound Imaging System

no code implementations8 Jan 2023 Jiawen Li, Yunqian Huang, Sheng Song, Hongbo Chen, Junni Shi, Duo Xu, Haibin Zhang, Man Chen, Rui Zheng

A total of 127 3D carotid artery scans were acquired using a portable 3D US system which consisted of a handheld US scanner and an electromagnetic tracking system.

3D Reconstruction Specificity

VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume

no code implementations28 Dec 2022 Hongye Zeng, Kang Zhou, Songhan Ge, Yuchong Gao, Jianhao Zhao, Shenghua Gao, Rui Zheng

We propose VertMatch, a two-step framework to detect vertebral structures in 3D ultrasound volume by utilizing unlabeled data in semi-supervised manner.

Efficient Adversarial Training with Robust Early-Bird Tickets

1 code implementation14 Nov 2022 Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

Adversarial training is one of the most powerful methods to improve the robustness of pre-trained language models (PLMs).

Robust Lottery Tickets for Pre-trained Language Models

2 code implementations ACL 2022 Rui Zheng, Rong Bao, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang

Recent works on Lottery Ticket Hypothesis have shown that pre-trained language models (PLMs) contain smaller matching subnetworks(winning tickets) which are capable of reaching accuracy comparable to the original models.

Adversarial Robustness

TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency

1 code implementation11 Oct 2022 Dan Zhang, Rui Zheng, Luosang Gadeng, Pei Yang

The proposed method underscores the significance of multi-task learning and explicit cross-task consistency enhancement for advancing semantic segmentation and highlights the potential of multitasking in real-time semantic segmentation.

Autonomous Driving Edge Detection +3

Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN

no code implementations17 Apr 2022 Zhichao Liu, Liyue Qian, Wenke Jing, Desen Zhou, Xuming He, Edmond Lou, Rui Zheng

The framework consisted of two closely linked modules: 1) the lamina detector for identifying and locating each lamina pairs on ultrasound coronal images, and 2) the spinal curvature estimator for calculating the scoliotic angles based on the chain of detected lamina.

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective

2 code implementations COLING 2022 Shihan Dou, Rui Zheng, Ting Wu, Songyang Gao, Junjie Shan, Qi Zhang, Yueming Wu, Xuanjing Huang

Most of the existing debiasing methods often identify and weaken these samples with biased features (i. e., superficial surface features that cause such spurious correlations).

Fact Verification Natural Language Inference +1

Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network

no code implementations9 May 2021 Hong-Ye Zeng, Song-Han Ge, Yu-Chong Gao, De-Sen Zhou, Kang Zhou, Xu-Ming He, Edmond Lou, Rui Zheng

Methods: The network was trained to detect vertebral SP and laminae as five landmarks on 1200 ultrasound transverse images and validated on 100 images.

Single Particle Analysis

Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras

no code implementations4 Oct 2016 Jiayu Shu, Rui Zheng, Pan Hui

The growing popularity of mobile and wearable devices with built-in cameras, the bright prospect of camera related applications such as augmented reality and life-logging system, the increased ease of taking and sharing photos, and advances in computer vision techniques have greatly facilitated people's lives in many aspects, but have also inevitably raised people's concerns about visual privacy at the same time.

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