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09/21/2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
For improving image composition and aesthetic quality, most existing met...
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05/26/2023
Zero-shot Visual Question Answering with Language Model Feedback
In this paper, we propose a novel language model guided captioning appro...
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05/26/2023
Learning to Imagine: Visually-Augmented Natural Language Generation
People often imagine relevant scenes to aid in the writing process. In t...
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05/19/2023
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
Large language models (LLMs), such as ChatGPT, are prone to generate hal...
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05/18/2023
The Web Can Be Your Oyster for Improving Large Language Models
Large language models (LLMs) encode a large amount of world knowledge. H...
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04/25/2023
RenderDiffusion: Text Generation as Image Generation
Diffusion models have become a new generative paradigm for text generati...
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02/13/2023
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems
Bilevel Optimization has witnessed notable progress recently with new em...
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02/13/2023
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging
Federated learning (FL) is an emerging learning paradigm to tackle massi...
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12/26/2022
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
To facilitate research on text generation, this paper presents a compreh...
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10/25/2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Recommender systems are widely used in industry to improve user experien...
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10/24/2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
We study the text generation task under the approach of pre-trained lang...
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06/24/2022
MVP: Multi-task Supervised Pre-training for Natural Language Generation
Pre-trained language models (PLMs) have achieved notable success in natu...
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06/11/2022
Communication-Efficient Robust Federated Learning with Noisy Labels
Federated learning (FL) is a promising privacy-preserving machine learni...
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05/03/2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction
Bilevel Optimization has witnessed notable progress recently with new em...
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05/03/2022
Learning to Transfer Prompts for Text Generation
Pretrained language models (PLMs) have made remarkable progress in text ...
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05/03/2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
Nowadays, pretrained language models (PLMs) have dominated the majority ...
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04/12/2022
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones
While significant progress has been made in deep video denoising, it rem...
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03/22/2022
WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models
Compared with the domain-specific model, the vision-language pre-trainin...
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02/18/2022
A Survey of Vision-Language Pre-Trained Models
As Transformer evolved, pre-trained models have advanced at a breakneck ...
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01/21/2022
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation
Recently, pretrained language models (PLMs) have made exceptional succes...
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01/14/2022
A Survey of Pretrained Language Models Based Text Generation
Text Generation aims to produce plausible and readable text in human lan...
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12/09/2021
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse
In this paper, we propose a new Hessian inverse free Fully Single Loop A...
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06/21/2021
Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning
In the paper, we propose an effective and efficient Compositional Federa...
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06/15/2021
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
Adaptive gradient methods have shown excellent performance for solving m...
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06/03/2021
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
This paper studies how to automatically generate a natural language text...
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05/21/2021
Pretrained Language Models for Text Generation: A Survey
Text generation has become one of the most important yet challenging tas...
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05/09/2021
Knowledge-based Review Generation by Coherence Enhanced Text Planning
As a natural language generation task, it is challenging to generate inf...
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04/13/2021
Mitigating Hand Blockage with Non-Directional Beamforming Codebooks
Hand blockage leads to significant performance impairments at millimeter...
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01/06/2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
We release an open library, called TextBox, which provides a unified, mo...
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10/04/2020
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
Personalized review generation (PRG) aims to automatically produce revie...
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09/01/2020
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
Due to the hierarchical structure of many machine learning problems, bil...
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06/17/2020
Faster Secure Data Mining via Distributed Homomorphic Encryption
Due to the rising privacy demand in data mining, Homomorphic Encryption ...
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06/07/2020
Generating Realistic Stock Market Order Streams
We propose an approach to generate realistic and high-fidelity stock mar...
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04/13/2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
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03/28/2020
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
The task of Knowledge Graph Completion (KGC) aims to automatically infer...
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12/08/2019
Hand and Body Blockage Measurements with Form-Factor User Equipment at 28 GHz
Blockage by the human hand/body is an important impairment in realizing ...
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06/11/2019
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding
Generating long and informative review text is a challenging natural lan...
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01/04/2019
Evolution of Physical-Layer Communications Research in the Post-5G Era
The evolving Fifth Generation New Radio (5G-NR) cellular standardization...
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01/04/2019
Antenna Placement and Performance Tradeoffs with Hand Blockage in Millimeter Wave Systems
The ongoing commercial deployment of millimeter wave systems brings into...
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04/01/2018
Investigation of Performance in Integrated Access and Backhaul Networks
Wireless backhaul allows densification of mobile networks without incurr...
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02/14/2018
Channel Reconstruction-Based Hybrid Precoding for Millimeter Wave Multi-User MIMO Systems
The focus of this paper is on multi-user MIMO transmissions for millimet...
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01/10/2018
