b'Qifan Wang'

research

∙ 08/30/2023

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models

In recent years, there have been remarkable advancements in the performa...

0 Chi Han, et al. ∙

research

∙ 08/17/2023

mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning

Cross-lingual named entity recognition (CrossNER) faces challenges stemm...

0 Ying Mo, et al. ∙

research

∙ 07/25/2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

As the size of transformer-based models continues to grow, fine-tuning t...

0 Cheng Han, et al. ∙

research

∙ 07/24/2023

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

We investigate various prompting strategies for enhancing personalized r...

0 Hanjia Lyu, et al. ∙

research

∙ 07/22/2023

CryptoMask : Privacy-preserving Face Recognition

Face recognition is a widely-used technique for identification or verifi...

0 Jianli Bai, et al. ∙

research

∙ 06/30/2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning

Large language models show impressive results on few-shot NLP tasks. How...

0 Aaron Mueller, et al. ∙

research

∙ 06/15/2023

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods

This paper introduces the Fair Fairness Benchmark (), a benchmarking fra...

0 Xiaotian Han, et al. ∙

research

∙ 06/13/2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

The past decade has witnessed the flourishing of a new profession as med...

0 Fan Yao, et al. ∙

research

∙ 05/24/2023

The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning

Chain-of-Thought prompting (CoT) enables large-scale language models to ...

0 Jingyuan Qi, et al. ∙

research

∙ 05/24/2023

Disentangled Phonetic Representation for Chinese Spelling Correction

Chinese Spelling Correction (CSC) aims to detect and correct erroneous c...

0 Zihong Liang, et al. ∙

research

∙ 05/24/2023

AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

We propose attribute-aware multimodal entity linking, where the input is...

0 Barry Menglong Yao, et al. ∙

research

∙ 05/23/2023

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality

Contrastively trained vision-language models have achieved remarkable pr...

0 Harman Singh, et al. ∙

research

∙ 05/01/2023

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference

Decision tree (DT) is a widely used machine learning model due to its ve...

0 Qifan Wang, et al. ∙

research

∙ 04/23/2023

TransFlow: Transformer as Flow Learner

Optical flow is an indispensable building block for various important co...

0 Yawen Lu, et al. ∙

research

∙ 04/04/2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning

Recently, self-supervised learning (SSL) was shown to be vulnerable to p...

0 Ajinkya Tejankar, et al. ∙

research

∙ 04/01/2023

SVT: Supertoken Video Transformer for Efficient Video Understanding

Whether by processing videos with fixed resolution from start to end or ...

5 Chenbin Pan, et al. ∙

research

∙ 03/20/2023

Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition

Named entity recognition (NER) is an important research problem in natur...

0 Ying Mo, et al. ∙

research

∙ 03/02/2023

Stochastic Clustered Federated Learning

Federated learning is a distributed learning framework that takes full a...

0 Dun Zeng, et al. ∙

research

∙ 02/04/2023

Representation Deficiency in Masked Language Modeling

Masked Language Modeling (MLM) has been one of the most prominent approa...

0 Yu Meng, et al. ∙

research

∙ 12/15/2022

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration

Instance segmentation in videos, which aims to segment and track multipl...

0 Liqi Yan, et al. ∙

research

∙ 12/03/2022

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection

Predicting personality traits based on online posts has emerged as an im...

0 Tao Yang, et al. ∙

research

∙ 11/04/2022

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler

Active learning with strong and weak labelers considers a practical sett...

0 Yifang Chen, et al. ∙

research

∙ 10/14/2022

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

Personalized text generation has broad industrial applications, such as ...

0 Nan Wang, et al. ∙

research

∙ 10/12/2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning

Fine-tuning large pre-trained language models on downstream tasks is apt...

0 Tao Yang, et al. ∙

research

∙ 10/11/2022

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling

Transformer-based models have achieved great success on sentence pair mo...

0 Yuanhang Yang, et al. ∙

research

∙ 10/10/2022

XPrompt: Exploring the Extreme of Prompt Tuning

Prompt tuning learns soft prompts to condition frozen Pre-trained Langua...

0 Fang Ma, et al. ∙

research

∙ 09/19/2022

Autoregressive Entity Generation for End-to-End Task-Oriented Dialog

Task-oriented dialog (TOD) systems often require interaction with an ext...

0 Guanhuan Huang, et al. ∙

research

∙ 08/23/2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations

Pre-trained Language Models (PLMs) have achieved remarkable performance ...

26 Borun Chen, et al. ∙

research

∙ 08/23/2022

Fall Detection from Audios with Audio Transformers

Fall detection for the elderly is a well-researched problem with several...

18 Prabhjot Kaur, et al. ∙

research

∙ 08/19/2022

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian

Facial pose estimation refers to the task of predicting face orientation...

4 Zhiwen Cao, et al. ∙

research

∙ 05/29/2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression

Driven by the teacher-student paradigm, knowledge distillation is one of...

6 Chen Zhang, et al. ∙

research

∙ 05/22/2022

GL-RG: Global-Local Representation Granularity for Video Captioning

Video captioning is a challenging task as it needs to accurately transfo...

4 Liqi Yan, et al. ∙

research

∙ 03/05/2022

Deep Partial Multiplex Network Embedding

Network embedding is an effective technique to learn the low-dimensional...

5 Qifan Wang, et al. ∙

research

∙ 03/02/2022

EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE

The classification service over a stream of data is becoming an importan...

0 Qifan Wang, et al. ∙

research

∙ 02/01/2022

WebFormer: The Web-page Transformer for Structure Information Extraction

Structure information extraction refers to the task of extracting struct...

16 Qifan Wang, et al. ∙

research

∙ 09/11/2020

CatGCN: Graph Convolutional Networks with Categorical Node Features

Recent studies on Graph Convolutional Networks (GCNs) reveal that the in...

0 Weijian Chen, et al. ∙

research

∙ 07/28/2020

Big Bird: Transformers for Longer Sequences

Transformers-based models, such as BERT, have been one of the most succe...

72 Manzil Zaheer, et al. ∙

research

∙ 01/30/2020

Graph Convolution Machine for Context-aware Recommender System

The latest advance in recommendation shows that better user and item rep...

0 Jiancan Wu, et al. ∙

Qifan Wang

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