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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...
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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...
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07/19/2023
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation
Rising computational demands of modern natural language processing (NLP)...
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06/21/2023
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing
Sequential recommendation (SR) investigates the dynamic user preferences...
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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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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...
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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 ...
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05/17/2023
LeTI: Learning to Generate from Textual Interactions
Finetuning pre-trained language models (LMs) enhances the models' capabi...
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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 ...
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05/16/2023
AMD: Autoregressive Motion Diffusion
Human motion generation aims to produce plausible human motion sequences...
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05/05/2023
Contrastive Graph Clustering in Curvature Spaces
Graph clustering is a longstanding research topic, and has achieved rema...
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04/24/2023
Hierarchical State Abstraction Based on Structural Information Principles
State abstraction optimizes decision-making by ignoring irrelevant envir...
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04/11/2023
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Learning unbiased node representations for imbalanced samples in the gra...
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04/06/2023
Graph Collaborative Signals Denoising and Augmentation for Recommendation
Graph collaborative filtering (GCF) is a popular technique for capturing...
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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...
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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...
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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...
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03/02/2023
Reinforcement Learning Guided Multi-Objective Exam Paper Generation
To reduce the repetitive and complex work of instructors, exam paper gen...
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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...
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02/10/2023
A Comprehensive Survey on Automatic Knowledge Graph Construction
Automatic knowledge graph construction aims to manufacture structured hu...
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01/30/2023
Specializing Smaller Language Models towards Multi-Step Reasoning
The surprising ability of Large Language Models (LLMs) to perform well o...
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01/28/2023
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
Self-supervised sequential recommendation significantly improves recomme...
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01/28/2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Contrastive Learning (CL) has been proved to be a powerful self-supervis...
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01/14/2023
A Comprehensive Survey of Graph-level Learning
Graphs have a superior ability to represent relational data, like chemic...
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12/30/2022
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Most Graph Neural Networks follow the message-passing paradigm, assuming...
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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...
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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...
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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...
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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...
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10/16/2022
Modeling Context With Linear Attention for Scalable Document-Level Translation
Document-level machine translation leverages inter-sentence dependencies...
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10/14/2022
Transparency Helps Reveal When Language Models Learn Meaning
Many current NLP systems are built from language models trained to optim...
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10/03/2022
Complexity-Based Prompting for Multi-Step Reasoning
We study the task of prompting large-scale language models to perform mu...
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10/02/2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Social networks are considered to be heterogeneous graph neural networks...
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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...
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09/04/2022
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
Integrating multiple online social networks (OSNs) has important implica...
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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...
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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...
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08/09/2022
Automating DBSCAN via Deep Reinforcement Learning
DBSCAN is widely used in many scientific and engineering fields because ...
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07/26/2022
Dynamic Measurement of Structural Entropy for Dynamic Graphs
Structural entropy solves the problem of measuring the amount of informa...
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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...
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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 ...
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05/31/2022
Graph-level Neural Networks: Current Progress and Future Directions
Graph-structured data consisting of objects (i.e., nodes) and relationsh...
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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...
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05/03/2022
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
Temporal Expression Extraction (TEE) is essential for understanding time...
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03/18/2022
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis
Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) a...
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03/03/2022
Curvature Graph Generative Adversarial Networks
Generative adversarial network (GAN) is widely used for generalized and ...
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01/18/2022
DH-Net: Deformed Microstructure Homogenization via 3D Convolutional Neural Networks
With the rapid development of additive manufacturing, microstructures ar...
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01/17/2022
Towards Unsupervised Deep Graph Structure Learning
In recent years, graph neural networks (GNNs) have emerged as a successf...
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01/16/2022
Sequential Recommendation via Stochastic Self-Attention
Sequential recommendation models the dynamics of a user's previous behav...
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12/21/2021
