Search Results for author: Nuo Xu

Found 31 papers, 12 papers with code

Android in the Zoo: Chain-of-Action-Thought for GUI Agents

1 code implementation5 Mar 2024 Jiwen Zhang, Jihao Wu, Yihua Teng, Minghui Liao, Nuo Xu, Xiao Xiao, Zhongyu Wei, Duyu Tang

To address this, this work presents Chain-of-Action-Thought (dubbed CoAT), which takes the description of the previous actions, the current screen, and more importantly the action thinking of what actions should be performed and the outcomes led by the chosen action.

Language Modelling Large Language Model

Aligning Knowledge Graph with Visual Perception for Object-goal Navigation

1 code implementation29 Feb 2024 Nuo Xu, Wen Wang, Rong Yang, Mengjie Qin, Zheyuan Lin, Wei Song, Chunlong Zhang, Jason Gu, Chao Li

Object-goal navigation is a challenging task that requires guiding an agent to specific objects based on first-person visual observations.

Object

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition

no code implementations22 Feb 2024 Junjie Ye, Nuo Xu, Yikun Wang, Jie zhou, Qi Zhang, Tao Gui, Xuanjing Huang

To overcome the limitations of existing data augmentation methods that compromise semantic integrity and address the uncertainty inherent in LLM-generated text, we leverage the distinctive characteristics of the NER task by augmenting the original data at both the contextual and entity levels.

Data Augmentation few-shot-ner +5

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

Disordered hyperuniformity signals functioning and resilience of self-organized vegetation patterns

no code implementations13 Nov 2023 Wensi Hu, Quan-Xing Liu, Bo wang, Nuo Xu, Lijuan Cui, Chi Xu

Here we show that disordered hyperuniformity as a striking class of hidden orders can exist in spatially self-organized vegetation landscapes.

DocStormer: Revitalizing Multi-Degraded Colored Document Images to Pristine PDF

no code implementations27 Oct 2023 Chaowei Liu, Jichun Li, Yihua Teng, Chaoqun Wang, Nuo Xu, Jihao Wu, Dandan Tu

Thus, we propose DocStormer, a novel algorithm designed to restore multi-degraded colored documents to their potential pristine PDF.

Binarization

Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering

no code implementations25 Jul 2023 Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding

In particular, for fully connected layers, we combine a block-circulant based spatial restructuring with Spectral-DP to achieve better utility.

Transfer Learning

MERGE: Fast Private Text Generation

1 code implementation25 May 2023 Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Lifeng Xing, Shuo Zhang

The drastic increase in language models' parameters has led to a new trend of deploying models in cloud servers, raising growing concerns about private inference for Transformer-based models.

Code Completion Natural Language Understanding +2

PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis

1 code implementation24 Apr 2023 Shu Wei, Nuo Xu

Document layout analysis has a wide range of requirements across various domains, languages, and business scenarios.

Document Layout Analysis Image Segmentation +1

Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration

no code implementations24 Apr 2023 Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding

Experimental results show that NDSNN achieves up to 20. 52\% improvement in accuracy on Tiny-ImageNet using ResNet-19 (with a sparsity of 99\%) as compared to other SOTA methods (e. g., Lottery Ticket Hypothesis (LTH), SET-SNN, RigL-SNN).

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

no code implementations18 Mar 2023 Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang shen, Jie zhou, Siming Chen, Tao Gui, Qi Zhang, Xuanjing Huang

GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on, have gained considerable attention due to their exceptional natural language processing capabilities.

Natural Language Understanding

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

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

2 code implementations24 Sep 2022 Ran Ran, Nuo Xu, Wei Wang, Gang Quan, Jieming Yin, Wujie Wen

To this end, we develop an approach that can effectively take advantage of the sparsity of matrix operations in GCN inference to significantly reduce the computational overhead.

Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples

no code implementations7 Sep 2022 Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen

First, we show that successful white-box adversarial attacks on SNNs are highly dependent on the underlying surrogate gradient technique, even in the case of adversarially trained SNNs.

Adversarial Attack

NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks

1 code implementation11 Jun 2022 Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam

Membership inference attacks (MIAs) against machine learning models can lead to serious privacy risks for the training dataset used in the model training.

Measurement of carbon finance level and exploration of its influencing factors

no code implementations1 Jun 2022 Peng Zhang, Yuwei Zhang, Nuo Xu

Faced with increasingly severe environmental problems, carbon trading markets and related financial activities aiming at limiting carbon dioxide emissions are booming.

AME: Attention and Memory Enhancement in Hyper-Parameter Optimization

no code implementations CVPR 2022 Nuo Xu, Jianlong Chang, Xing Nie, Chunlei Huo, Shiming Xiang, Chunhong Pan

Training Deep Neural Networks (DNNs) is inherently subject to sensitive hyper-parameters and untimely feedbacks of performance evaluation.

Image Classification object-detection +2

Learning to Check Contract Inconsistencies

1 code implementation15 Dec 2020 Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng

This will result in the issue of contract inconsistencies, which may severely impair the legal validity of the contract.

Learning Architectures from an Extended Search Space for Language Modeling

no code implementations ACL 2020 Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li

Neural architecture search (NAS) has advanced significantly in recent years but most NAS systems restrict search to learning architectures of a recurrent or convolutional cell.

Chunking Language Modelling +4

Distinguish Confusing Law Articles for Legal Judgment Prediction

1 code implementation ACL 2020 Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, Junzhou Zhao

Legal Judgment Prediction (LJP) is the task of automatically predicting a law case's judgment results given a text describing its facts, which has excellent prospects in judicial assistance systems and convenient services for the public.

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

2 code implementations23 May 2019 Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao

To resolve these problems, we present MR-GNN, an end-to-end graph neural network with the following features: i) it uses a multi-resolution based architecture to extract node features from different neighborhoods of each node, and, ii) it uses dual graph-state long short-term memory networks (L-STMs) to summarize local features of each graph and extracts the interaction features between pairwise graphs.

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

2 code implementations CVPR 2019 Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen

Image compression-based approaches for defending against the adversarial-example attacks, which threaten the safety use of deep neural networks (DNN), have been investigated recently.

Classification General Classification +2

GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model

no code implementations21 Apr 2014 Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul

Central to robot exploration and mapping is the task of persistent localization in environmental fields characterized by spatially correlated measurements.

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