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08/27/2023
Situated Natural Language Explanations
Natural language is among the most accessible tools for explaining decis...
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08/04/2023
Exploring Part-Informed Visual-Language Learning for Person Re-Identification
Recently, visual-language learning has shown great potential in enhancin...
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07/19/2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Modeling customer shopping intentions is a crucial task for e-commerce, ...
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07/05/2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
Generating an informative and attractive title for the product is a cruc...
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06/25/2023
Weakly Supervised Scene Text Generation for Low-resource Languages
A large number of annotated training images is crucial for training succ...
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06/14/2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Graph Neural Networks (GNNs) have achieved great success in modeling gra...
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06/02/2023
Knowledge Graph Reasoning over Entities and Numerical Values
A complex logic query in a knowledge graph refers to a query expressed i...
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05/30/2023
Graph Reasoning for Question Answering with Triplet Retrieval
Answering complex questions often requires reasoning over knowledge grap...
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05/19/2023
CCGen: Explainable Complementary Concept Generation in E-Commerce
We propose and study Complementary Concept Generation (CCGen): given a c...
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05/03/2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
Large language models (LMs) beyond a certain scale, demonstrate the emer...
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04/26/2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
This paper presents a comprehensive and practical guide for practitioner...
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04/03/2023
OTS: A One-shot Learning Approach for Text Spotting in Historical Manuscripts
Historical manuscript processing poses challenges like limited annotated...
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03/27/2023
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
This paper investigates cross-lingual temporal knowledge graph reasoning...
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03/08/2023
SEMv2: Table Separation Line Detection Based on Conditional Convolution
Table structure recognition is an indispensable element for enabling mac...
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10/16/2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
In this paper, we investigate a realistic but underexplored problem, cal...
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10/08/2022
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding
E-commerce query understanding is the process of inferring the shopping ...
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09/15/2022
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites
E-commerce queries are often short and ambiguous. Consequently, query un...
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09/15/2022
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
Graph neural network (GNN) pre-training methods have been proposed to en...
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09/02/2022
Vision-Language Adaptive Mutual Decoder for OOV-STR
Recent works have shown huge success of deep learning models for common ...
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07/21/2022
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition
Scene text recognition is a challenging task due to the complex backgrou...
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05/21/2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
Keyphrase generation is the task of automatically predicting keyphrases ...
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05/15/2022
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
Recent research showed promising results on combining pretrained languag...
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04/08/2022
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
User sessions empower many search and recommendation tasks on a daily ba...
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03/28/2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
Predicting missing facts in a knowledge graph (KG) is crucial as modern ...
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02/12/2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
With the increasing demands on e-commerce platforms, numerous user actio...
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08/19/2021
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
We study the problem of query attribute value extraction, which aims to ...
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06/16/2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Weak supervision has shown promising results in many natural language pr...
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05/06/2021
Graph-based Multilingual Product Retrieval in E-commerce Search
Nowadays, with many e-commerce platforms conducting global business, e-c...
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04/04/2021
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
Exploiting label hierarchies has become a promising approach to tackling...
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09/22/2020
On Data Augmentation for Extreme Multi-label Classification
In this paper, we focus on data augmentation for the extreme multi-label...
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12/20/2019
Shareable Representations for Search Query Understanding
Understanding search queries is critical for shopping search engines to ...
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07/01/2019