b'Zheng Yuan'

research

∙ 09/14/2023

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation

Learning a recommender system model from an item's raw modality features...

0 Jiaqi Zhang, et al. ∙

research

∙ 08/14/2023

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

Foundation language models obtain the instruction-following ability thro...

0 Keming Lu, et al. ∙

research

∙ 08/03/2023

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Mathematical reasoning is a challenging task for large language models (...

0 Zheng Yuan, et al. ∙

research

∙ 07/17/2023

On the application of Large Language Models for language teaching and assessment technology

The recent release of very large language models such as PaLM and GPT-4 ...

0 Andrew Caines, et al. ∙

research

∙ 07/01/2023

Hierarchical Pretraining for Biomedical Term Embeddings

Electronic health records (EHR) contain narrative notes that provide ext...

0 Bryan Cai, et al. ∙

research

∙ 06/24/2023

DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins

Advances in deep generative models shed light on de novo molecule genera...

0 Lei Huang, et al. ∙

research

∙ 06/12/2023

The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues

This paper describes the results of the first shared task on the generat...

0 Anaïs Tack, et al. ∙

research

∙ 06/08/2023

The ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues

This paper presents the ADAIO team's system entry in the Building Educat...

0 Adaeze Adigwe, et al. ∙

research

∙ 05/24/2023

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights

Adapters, a plug-in neural network module with some tunable parameters, ...

0 Junchen Fu, et al. ∙

research

∙ 05/19/2023

Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights

Text-based collaborative filtering (TCF) has become the mainstream appro...

0 Ruyu Li, et al. ∙

research

∙ 04/24/2023

Multi-crop Contrastive Learning for Unsupervised Image-to-Image Translation

Recently, image-to-image translation methods based on contrastive learni...

0 Chen Zhao, et al. ∙

research

∙ 04/22/2023

Spectral normalized dual contrastive regularization for image-to-image translation

Existing image-to-image(I2I) translation methods achieve state-of-the-ar...

0 Chen Zhao, et al. ∙

research

∙ 04/11/2023

RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reinforcement Learning from Human Feedback (RLHF) facilitates the alignm...

0 Zheng Yuan, et al. ∙

research

∙ 03/24/2023

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

Recommendation models that utilize unique identities (IDs) to represent ...

0 Zheng Yuan, et al. ∙

research

∙ 03/18/2023

Exploring Partial Knowledge Base Inference in Biomedical Entity Linking

Biomedical entity linking (EL) consists of named entity recognition (NER...

0 Hongyi Yuan, et al. ∙

research

∙ 03/01/2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training

Vision-and-language multi-modal pretraining and fine-tuning have shown g...

0 Zheng Yuan, et al. ∙

research

∙ 02/12/2023

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction

We extend a current sequence-tagging approach to Grammatical Error Corre...

0 Stuart Mesham, et al. ∙

research

∙ 02/02/2023

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling

Molecular dynamic simulations are important in computational physics, ch...

0 Zheng Yuan, et al. ∙

research

∙ 12/20/2022

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Diffusion model, a new generative modelling paradigm, has achieved great...

0 Hongyi Yuan, et al. ∙

research

∙ 12/17/2022

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation

Language models with the Transformers structure have shown great perform...

0 Hongyi Yuan, et al. ∙

research

∙ 11/09/2022

Grammatical Error Correction: A Survey of the State of the Art

Grammatical Error Correction (GEC) is the task of automatically detectin...

0 Christopher Bryant, et al. ∙

research

∙ 04/11/2022

Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning

Entities lie in the heart of biomedical natural language understanding, ...

0 Hongyi Yuan, et al. ∙

research

∙ 04/10/2022

Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching

The expansion of renewable energy could help realizing the goals of peak...

0 Xinhang Li, et al. ∙

research

∙ 04/08/2022

BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model

Pretrained language models have served as important backbones for natura...

0 Hongyi Yuan, et al. ∙

research

∙ 04/01/2022

Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations

Term clustering is important in biomedical knowledge graph construction....

0 Sihang Zeng, et al. ∙

research

∙ 03/18/2022

BIOS: An Algorithmically Generated Biomedical Knowledge Graph

Biomedical knowledge graphs (BioMedKGs) are essential infrastructures fo...

12 Sheng Yu, et al. ∙

research

∙ 03/03/2022

Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding

Automatic ICD coding is defined as assigning disease codes to electronic...

0 Zheng Yuan, et al. ∙

research

∙ 03/01/2022

T^3OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area

Smart Internet of Vehicles (IoVs) combined with Artificial Intelligence ...

28 Zheng Yuan, et al. ∙

research

∙ 11/27/2021

Adaptive Image Transformations for Transfer-based Adversarial Attack

Adversarial attacks provide a good way to study the robustness of deep l...

2 Zheng Yuan, et al. ∙

research

∙ 11/27/2021

Adaptive Perturbation for Adversarial Attack

In recent years, the security of deep learning models achieves more and ...

14 Zheng Yuan, et al. ∙

research

∙ 10/14/2021

Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition

Nested entities are observed in many domains due to their compositionali...

0 Zheng Yuan, et al. ∙

research

∙ 09/29/2021

MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation

Few-shot learning is a standard practice in most deep learning based his...

0 Zheng Yuan, et al. ∙

research

∙ 08/09/2021

Meta Gradient Adversarial Attack

In recent years, research on adversarial attacks has become a hot spot. ...

14 Zheng Yuan, et al. ∙

research

∙ 06/15/2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Artificial Intelligence (AI), along with the recent progress in biomedic...

0 Ningyu Zhang, et al. ∙

research

∙ 05/05/2021

Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection

Intelligent Transportation System (ITS) has become one of the essential ...

0 Tianhao Wu, et al. ∙

research

∙ 04/21/2021

Improving Biomedical Pretrained Language Models with Knowledge

Pretrained language models have shown success in many natural language p...

0 Zheng Yuan, et al. ∙

research

∙ 02/10/2021

Biomedical Question Answering: A Comprehensive Review

Question Answering (QA) is a benchmark Natural Language Processing (NLP)...

0 Qiao Jin, et al. ∙

research

∙ 12/03/2020

Attributes Aware Face Generation with Generative Adversarial Networks

Recent studies have shown remarkable success in face image generations. ...

7 Zheng Yuan, et al. ∙

research

∙ 11/05/2020

CODER: Knowledge infused cross-lingual medical term embedding for term normalization

We propose a novel medical term embedding method named CODER, which stan...

0 Zheng Yuan, et al. ∙

research

∙ 05/06/2018

Construction of the Literature Graph in Semantic Scholar

We describe a deployed scalable system for organizing published scientif...

0 Waleed Ammar, et al. ∙

research

∙ 07/17/2017

Artificial Error Generation with Machine Translation and Syntactic Patterns

Shortage of available training data is holding back progress in the area...

0 Marek Rei, et al. ∙

Zheng Yuan

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