b'Hao Peng'

research

∙ 09/19/2023

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

To solve complex tasks, large language models (LLMs) often require multi...

0 Xingyao Wang, et al. ∙

research

∙ 09/05/2023

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs

Skin lesion segmentation is a fundamental task in dermoscopic image anal...

0 Guangjie Zeng, et al. ∙

research

∙ 07/19/2023

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation

Rising computational demands of modern natural language processing (NLP)...

0 Hao Peng, et al. ∙

research

∙ 06/21/2023

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing

Sequential recommendation (SR) investigates the dynamic user preferences...

0 Ziwei Fan, et al. ∙

research

∙ 06/15/2023

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

The unprecedented performance of large language models (LLMs) necessitat...

0 Jifan Yu, et al. ∙

research

∙ 06/12/2023

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

Event extraction (EE) is a crucial task aiming at extracting events from...

0 Hao Peng, et al. ∙

research

∙ 05/26/2023

Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance

As large language models (LLMs) are continuously being developed, their ...

0 Yao Fu, et al. ∙

research

∙ 05/17/2023

LeTI: Learning to Generate from Textual Interactions

Finetuning pre-trained language models (LMs) enhances the models' capabi...

0 Xingyao Wang, et al. ∙

research

∙ 05/17/2023

Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback

We study whether multiple large language models (LLMs) can autonomously ...

0 Yao Fu, et al. ∙

research

∙ 05/16/2023

AMD: Autoregressive Motion Diffusion

Human motion generation aims to produce plausible human motion sequences...

0 Bo Han, et al. ∙

research

∙ 05/05/2023

Contrastive Graph Clustering in Curvature Spaces

Graph clustering is a longstanding research topic, and has achieved rema...

0 Li Sun, et al. ∙

research

∙ 04/24/2023

Hierarchical State Abstraction Based on Structural Information Principles

State abstraction optimizes decision-making by ignoring irrelevant envir...

0 Xianghua Zeng, et al. ∙

research

∙ 04/11/2023

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification

Learning unbiased node representations for imbalanced samples in the gra...

0 Xingcheng Fu, et al. ∙

research

∙ 04/06/2023

Graph Collaborative Signals Denoising and Augmentation for Recommendation

Graph collaborative filtering (GCF) is a popular technique for capturing...

0 Ziwei Fan, et al. ∙

research

∙ 04/03/2023

Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles

Role-based learning is a promising approach to improving the performance...

0 Xianghua Zeng, et al. ∙

research

∙ 03/17/2023

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Graph Neural Networks (GNNs) are de facto solutions to structural data l...

0 Dongcheng Zou, et al. ∙

research

∙ 03/10/2023

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection

Social bot detection is of paramount importance to the resilience and se...

0 Yingguang Yang, et al. ∙

research

∙ 03/02/2023

Reinforcement Learning Guided Multi-Objective Exam Paper Generation

To reduce the repetitive and complex work of instructors, exam paper gen...

0 Yuhu Shang, et al. ∙

research

∙ 02/18/2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

The Pretrained Foundation Models (PFMs) are regarded as the foundation f...

0 Ce Zhou, et al. ∙

research

∙ 02/10/2023

A Comprehensive Survey on Automatic Knowledge Graph Construction

Automatic knowledge graph construction aims to manufacture structured hu...

0 Lingfeng Zhong, et al. ∙

research

∙ 01/30/2023

Specializing Smaller Language Models towards Multi-Step Reasoning

The surprising ability of Large Language Models (LLMs) to perform well o...

0 Yao Fu, et al. ∙

research

∙ 01/28/2023

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Self-supervised sequential recommendation significantly improves recomme...

0 Ziwei Fan, et al. ∙

research

∙ 01/28/2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning

Contrastive Learning (CL) has been proved to be a powerful self-supervis...

0 Cheng Ji, et al. ∙

research

∙ 01/14/2023

A Comprehensive Survey of Graph-level Learning

Graphs have a superior ability to represent relational data, like chemic...

0 Zhenyu Yang, et al. ∙

research

∙ 12/30/2022

Self-organization Preserved Graph Structure Learning with Principle of Relevant Information

Most Graph Neural Networks follow the message-passing paradigm, assuming...

0 Qingyun Sun, et al. ∙

research

∙ 12/21/2022

Sensitivity analysis of biological washout and depth selection for a machine learning based dose verification framework in proton therapy

Dose verification based on proton-induced positron emitters is a promisi...

0 Shixiong Yu, et al. ∙

research

∙ 11/30/2022

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces

Continual graph learning routinely finds its role in a variety of real-w...

0 Li Sun, et al. ∙

research

∙ 11/14/2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction

The diverse relationships among real-world events, including coreference...

0 Xiaozhi Wang, et al. ∙

research

∙ 11/07/2022

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers

The attention mechanism is considered the backbone of the widely-used Tr...

0 Michael Hassid, et al. ∙

research

∙ 10/16/2022

Modeling Context With Linear Attention for Scalable Document-Level Translation

Document-level machine translation leverages inter-sentence dependencies...

0 Zhaofeng Wu, et al. ∙

research

∙ 10/14/2022

Transparency Helps Reveal When Language Models Learn Meaning

Many current NLP systems are built from language models trained to optim...

0 Zhaofeng Wu, et al. ∙

research

∙ 10/03/2022

Complexity-Based Prompting for Multi-Step Reasoning

We study the task of prompting large-scale language models to perform mu...

4 Yao Fu, et al. ∙

research

∙ 10/02/2022

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Social networks are considered to be heterogeneous graph neural networks...

0 Yuecen Wei, et al. ∙

research

∙ 09/27/2022

Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset

Recently, there have merged a class of task-oriented dialogue (TOD) data...

0 Hong Liu, et al. ∙

research

∙ 09/04/2022

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees

Integrating multiple online social networks (OSNs) has important implica...

6 Jiaqian Ren, et al. ∙

research

∙ 08/30/2022

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning

Representation learning on temporal graphs has drawn considerable resear...

6 Li Sun, et al. ∙

research

∙ 08/17/2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing

Topology-imbalance is a graph-specific imbalance problem caused by the u...

8 Qingyun Sun, et al. ∙

research

∙ 08/09/2022

Automating DBSCAN via Deep Reinforcement Learning

DBSCAN is widely used in many scientific and engineering fields because ...

26 Ruitong Zhang, et al. ∙

research

∙ 07/26/2022

Dynamic Measurement of Structural Entropy for Dynamic Graphs

Structural entropy solves the problem of measuring the amount of informa...

0 Runze Yang, et al. ∙

research

∙ 07/06/2022

A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems

A challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Syste...

0 Zhijian Ou, et al. ∙

research

∙ 06/10/2022

The Gender Gap in Scholarly Self-Promotion on Social Media

Self-promotion of research papers on social media is ubiquitous but not ...

0 Hao Peng, et al. ∙

research

∙ 05/31/2022

Graph-level Neural Networks: Current Progress and Future Directions

Graph-structured data consisting of objects (i.e., nodes) and relationsh...

0 Ge Zhang, et al. ∙

research

∙ 05/24/2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory

The rising popularity of online social network services has attracted lo...

7 Jiaqian Ren, et al. ∙

research

∙ 05/03/2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction

Temporal Expression Extraction (TEE) is essential for understanding time...

3 Yuwei Cao, et al. ∙

research

∙ 03/18/2022

Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis

Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) a...

0 Xusheng Zhao, et al. ∙

research

∙ 03/03/2022

Curvature Graph Generative Adversarial Networks

Generative adversarial network (GAN) is widely used for generalized and ...

0 Jianxin Li, et al. ∙

research

∙ 01/18/2022

DH-Net: Deformed Microstructure Homogenization via 3D Convolutional Neural Networks

With the rapid development of additive manufacturing, microstructures ar...

0 Hao Peng, et al. ∙

research

∙ 01/17/2022

Towards Unsupervised Deep Graph Structure Learning

In recent years, graph neural networks (GNNs) have emerged as a successf...

0 Yixin Liu, et al. ∙

research

∙ 01/16/2022

Sequential Recommendation via Stochastic Self-Attention

Sequential recommendation models the dynamics of a user's previous behav...

2 Ziwei Fan, et al. ∙

research

∙ 12/21/2021

Multimodal Entity Tagging with Multimodal Knowledge Base

To enhance research on multimodal knowledge base and multimodal informat...

0 Hao Peng, et al. ∙

Hao Peng

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