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08/07/2023
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Large language models (LLMs) have demonstrated remarkable generalizabili...
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08/04/2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
Clinical trial matching is a key process in health delivery and discover...
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07/12/2023
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
Large language models (LLMs), such as GPT-4, have demonstrated remarkabl...
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06/01/2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Conversational generative AI has demonstrated remarkable promise for emp...
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05/30/2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
The open-ended Visual Question Answering (VQA) task requires AI models t...
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05/27/2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
Entities can be expressed in diverse formats, such as texts, images, or ...
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05/25/2023
UNITE: A Unified Benchmark for Text-to-SQL Evaluation
A practical text-to-SQL system should generalize well on a wide variety ...
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05/06/2023
Semi-Asynchronous Federated Edge Learning Mechanism via Over-the-air Computation
Over-the-air Computation (AirComp) has been demonstrated as an effective...
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04/11/2023
Machine learning for structure-property relationships: Scalability and limitations
We present a scalable machine learning (ML) framework for predicting int...
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03/20/2023
Context-faithful Prompting for Large Language Models
Large language models (LLMs) encode parametric knowledge about world fac...
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03/06/2023
Machine learning for phase ordering dynamics of charge density waves
We present a machine learning (ML) framework for large-scale dynamical s...
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03/02/2023
Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
Contrastive pretraining on parallel image-text data has attained great s...
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01/21/2023
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
Neural text-to-SQL models have achieved remarkable performance in transl...
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12/21/2022
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
Relation extraction (RE), which has relied on structurally annotated cor...
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12/17/2022
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing
Recently, there has been increasing interest in synthesizing data to imp...
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12/11/2022
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
Although existing semi-supervised learning models achieve remarkable suc...
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10/19/2022
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
Pre-trained language models have attracted increasing attention in the b...
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09/30/2022
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Question answering over knowledge bases (KBs) aims to answer natural lan...
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08/30/2022
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
We present an efficient bi-encoder framework for named entity recognitio...
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07/23/2022
A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation
Motivated by decentralized sensing and policy evaluation problems, we co...
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06/23/2022
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles
Due to the pivotal role of Recommender Systems (RS) in guiding customers...
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06/10/2022
REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction
Relation extraction is an important but challenging task that aims to ex...
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05/10/2022
Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective
Federated learning (FL) can train a global model from clients' local dat...
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05/08/2022
A Multi-User Effective Computation Offloading Mechanism for MEC System: Batched Multi-Armed Bandits Approach
With the development of 5G technology, mobile edge computing (MEC) is be...
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04/22/2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding
With the growing popularity of deep-learning models, model understanding...
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04/12/2022
Machine learning predictions for local electronic properties of disordered correlated electron systems
We present a scalable machine learning (ML) model to predict local elect...
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03/16/2022
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning
Large multilingual pretrained language models such as mBERT and XLM-RoBE...
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03/14/2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
We present a benchmark suite of four datasets for evaluating the fairnes...
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03/12/2022
Distributed Community Detection in Large Networks
Community detection for large networks is a challenging task due to the ...
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02/21/2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Knowledge graphs (KGs) are an important source repository for a wide ran...
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01/03/2022
Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems
We outline the general framework of machine learning (ML) methods for mu...
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12/15/2021
Knowledge-Rich Self-Supervised Entity Linking
Entity linking faces significant challenges, such as prolific variations...
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12/09/2021
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification
In this paper, we make the very first attempt to investigate the integra...
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11/27/2021
A Review on Graph Neural Network Methods in Financial Applications
Keeping the individual features and the complicated relations, graph dat...
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11/22/2021
Finding the Winning Ticket of BERT for Binary Text Classification via Adaptive Layer Truncation before Fine-tuning
In light of the success of transferring language models into NLP tasks, ...
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09/11/2021
Modular Self-Supervision for Document-Level Relation Extraction
Extracting relations across large text spans has been relatively underex...
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07/27/2021
Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle
The combination of a small unmanned ground vehicle (UGV) and a large unm...
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06/11/2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Games are abstractions of the real world, where artificial agents learn ...
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05/27/2021
Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model
We show that the celebrated Falicov-Kimball model exhibits rich and intr...
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05/27/2021
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching
Order dispatch is one of the central problems to ride-sharing platforms....
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05/05/2021
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
Deep hamming hashing has gained growing popularity in approximate neares...
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04/12/2021
Joint Universal Syntactic and Semantic Parsing
While numerous attempts have been made to jointly parse syntax and seman...
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02/11/2021
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Coarse-to-fine models and cascade segmentation architectures are widely ...
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10/19/2020
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
Open attribute value extraction for emerging entities is an important bu...
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09/23/2020
Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
Multi-task transfer learning based on pre-trained language encoders achi...
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09/03/2020
Augmented Gaussian Random Field: Theory and Computation
We provide a rigorous theoretical foundation for incorporating data of o...
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05/12/2020
DeepFaceLab: A simple, flexible and extensible face swapping framework
DeepFaceLab is an open-source deepfake system created by iperov for face...
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01/05/2020
Error Model of Radio Fingerprint and PDR Fusion Indoor Localization
Multi-source fusion positioning is one of the technical frameworks for o...
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10/22/2019
Transductive Parsing for Universal Decompositional Semantics
We introduce a transductive model for parsing into Universal Decompositi...
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09/30/2019