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09/15/2023
A Bayesian Approach to Robust Inverse Reinforcement Learning
We consider a Bayesian approach to offline model-based inverse reinforce...
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09/02/2023
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models
Large language models (LLMs) have recently demonstrated remarkable capab...
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08/07/2023
COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment
Vision-Language Pre-training (VLP) methods based on object detection enj...
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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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07/17/2023
BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization
Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models...
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07/04/2023
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Document understanding refers to automatically extract, analyze and comp...
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06/29/2023
Multi-Scenario Ranking with Adaptive Feature Learning
Recently, Multi-Scenario Learning (MSL) is widely used in recommendation...
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06/08/2023
A Class of Smoothing Modulus-Based Iterative Method for Solving Implicit Complementarity Problems
In this paper, a class of smoothing modulus-based iterative method was p...
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06/07/2023
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks
To promote the development of Vision-Language Pre-training (VLP) and mul...
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05/17/2023
Unconfounded Propensity Estimation for Unbiased Ranking
The goal of unbiased learning to rank (ULTR) is to leverage implicit use...
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05/03/2023
Transforming Visual Scene Graphs to Image Captions
We propose to Transform Scene Graphs (TSG) into more descriptive caption...
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04/27/2023
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Large language models (LLMs) have demonstrated impressive zero-shot abil...
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04/19/2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
Aspect-based sentiment analysis (ABSA) aims at automatically inferring t...
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04/16/2023
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human
In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...
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04/03/2023
DiffuRec: A Diffusion Model for Sequential Recommendation
Mainstream solutions to Sequential Recommendation (SR) represent items w...
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02/15/2023
Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
Offline inverse reinforcement learning (Offline IRL) aims to recover the...
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02/01/2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Recent years have witnessed a big convergence of language, vision, and m...
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01/05/2023
Adaptively Clustering Neighbor Elements for Image Captioning
We design a novel global-local Transformer named Ada-ClustFormer (ACF) t...
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01/05/2023
Learning Trajectory-Word Alignments for Video-Language Tasks
Aligning objects with words plays a critical role in Image-Language BERT...
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10/04/2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Inverse reinforcement learning (IRL) aims to recover the reward function...
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07/12/2022
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
Learning dynamic user preference has become an increasingly important co...
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06/27/2022
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding
Multi-modal document pre-trained models have proven to be very effective...
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06/13/2022
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading
In recent years, many practitioners in quantitative finance have attempt...
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05/28/2022
Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Multi-scenario learning (MSL) enables a service provider to cater for us...
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05/24/2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Large-scale pretrained foundation models have been an emerging paradigm ...
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05/09/2022
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation
Session-based recommendation aims to predict items that an anonymous use...
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05/02/2022
Knowledge Graph Contrastive Learning for Recommendation
Knowledge Graphs (KGs) have been utilized as useful side information to ...
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04/12/2022
Recommender May Not Favor Loyal Users
In academic research, recommender systems are often evaluated on benchma...
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11/17/2021
Achieving Human Parity on Visual Question Answering
The Visual Question Answering (VQA) task utilizes both visual image and ...
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08/21/2021
Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training
Existing approaches to vision-language pre-training (VLP) heavily rely o...
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06/03/2021
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning
Vision-language pre-training (VLP) on large-scale image-text pairs has a...
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05/24/2021
StructuralLM: Structural Pre-training for Form Understanding
Large pre-trained language models achieve state-of-the-art results when ...
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05/18/2021
Path-based Deep Network for Candidate Item Matching in Recommenders
The large-scale recommender system mainly consists of two stages: matchi...
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03/14/2021
SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels
Vision-language pre-training (VLP) on large-scale image-text pairs has r...
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10/21/2020
On Offline Evaluation of Recommender Systems
In academic research, recommender models are often evaluated offline on ...
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05/28/2020
A Re-visit of the Popularity Baseline in Recommender Systems
Popularity is often included in experimental evaluation to provide a ref...
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05/21/2020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
In a large recommender system, the products (or items) could be in many ...
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05/21/2020
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance
Most of ranking models are trained only with displayed items (most are h...
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04/26/2020
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
Recently, large-scale datasets have vastly facilitated the development i...
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04/14/2020
PALM: Pre-training an Autoencoding Autoregressive Language Model for Context-conditioned Generation
Self-supervised pre-training has emerged as a powerful technique for nat...
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12/31/2019
CASE: Context-Aware Semantic Expansion
In this paper, we define and study a new task called Context-Aware Seman...
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11/10/2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Current neural Natural Language Generation (NLG) models cannot handle em...
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09/06/2019
Incorporating External Knowledge into Machine Reading for Generative Question Answering
Commonsense and background knowledge is required for a QA model to answe...
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08/28/2019
Exploiting Multiple Embeddings for Chinese Named Entity Recognition
Identifying the named entities mentioned in text would enrich many seman...
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07/02/2019
Obj-GloVe: Scene-Based Contextual Object Embedding
Recently, with the prevalence of large-scale image dataset, the co-occur...
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07/01/2019
A Capsule Network for Recommendation and Explaining What You Like and Dislike
User reviews contain rich semantics towards the preference of users to f...
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07/01/2019
A Review-Driven Neural Model for Sequential Recommendation
Writing review for a purchased item is a unique channel to express a use...
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05/09/2019
Targeted Sentiment Analysis: A Data-Driven Categorization
Targeted sentiment analysis (TSA), also known as aspect based sentiment ...
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04/27/2019
Review-Driven Answer Generation for Product-Related Questions in E-Commerce
The users often have many product-related questions before they make a p...
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01/21/2019
