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08/25/2023
SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
Recently, there has been growing interest in using Large Language Models...
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08/24/2023
Inducing Causal Structure for Abstractive Text Summarization
The mainstream of data-driven abstractive summarization models tends to ...
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08/02/2023
MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching
Entity Matching (EM), which aims to identify all entity pairs referring ...
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07/14/2023
C3: Zero-shot Text-to-SQL with ChatGPT
This paper proposes a ChatGPT-based zero-shot Text-to-SQL method, dubbed...
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06/19/2023
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Generating realistic human motion from given action descriptions has exp...
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06/09/2023
Large Language Model Is Semi-Parametric Reinforcement Learning Agent
Inspired by the insights in cognitive science with respect to human memo...
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06/08/2023
Modern Data Pricing Models: Taxonomy and Comprehensive Survey
Data play an increasingly important role in smart data analytics, which ...
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06/01/2023
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs
Bipartite graphs model relationships between two different sets of entit...
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05/25/2023
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset
The cross-domain text-to-SQL task aims to build a system that can parse ...
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05/14/2023
Mobile-Env: A Universal Platform for Training and Evaluation of Mobile Interaction
The interaction platform plays a crucial role in the recent advancement ...
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04/28/2023
Knowledge-refined Denoising Network for Robust Recommendation
Knowledge graph (KG), which contains rich side information, becomes an e...
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04/27/2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Collaborative Filtering (CF) is a widely used and effective technique fo...
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04/04/2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation
The Shapley value is widely regarded as a trustworthy attribution metric...
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04/03/2023
SparDL: Distributed Deep Learning Training with Efficient Sparse Communication
Top-k sparsification has recently been widely used to reduce the communi...
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02/16/2023
Laplace neural operator for complex geometries
Neural operators have emerged as a new area of machine learning for lear...
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02/13/2023
LDPTrace: Locally Differentially Private Trajectory Synthesis
Trajectory data has the potential to greatly benefit a wide-range of rea...
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02/03/2023
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
We propose a meta-ability decoupling (MAD) paradigm, which brings togeth...
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01/12/2023
On the Structural Generalization in Text-to-SQL
Exploring the generalization of a text-to-SQL parser is essential for a ...
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09/10/2022
OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue
This paper presents an ontology-aware pretrained language model (OPAL) f...
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07/11/2022
PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching
Entity Matching (EM), which aims to identify whether two entity records ...
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05/28/2022
Angle-Uniform Parallel Coordinates
We present angle-uniform parallel coordinates, a data-independent techni...
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05/25/2022
DialogZoo: Large-Scale Dialog-Oriented Task Learning
Building unified conversational agents has been a long-standing goal of ...
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05/24/2022
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat
In a depression-diagnosis-directed clinical session, doctors initiate a ...
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05/23/2022
META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
Task-oriented dialogue (TOD) systems have been widely used by mobile pho...
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05/20/2022
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
Entity alignment (EA) aims at finding equivalent entities in different k...
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05/13/2022
TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages
Recently, the structural reading comprehension (SRC) task on web pages h...
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04/21/2022
Maximizing the Influence of Bichromatic Reverse k Nearest Neighbors in Geo-Social Networks
Geo-social networks offer opportunities for the marketing and promotion ...
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04/14/2022
Self-Guided Learning to Denoise for Robust Recommendation
The ubiquity of implicit feedback makes them the default choice to build...
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04/11/2022
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Knowledge graph (KG) plays an increasingly important role to improve the...
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04/10/2022
UniDU: Towards A Unified Generative Dialogue Understanding Framework
With the development of pre-trained language models, remarkable success ...
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02/08/2022
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
A knowledge graph (KG) consists of a set of interconnected typed entitie...
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01/03/2022
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark
Ophthalmologists have used fundus images to screen and diagnose eye dise...
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12/17/2021
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories
Trajectory similarity computation has drawn massive attention, as it is ...
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12/09/2021
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF
Data sparsity problem is a key challenge of Natural Language Understandi...
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12/08/2021
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning
With the rapid increase of big data, distributed Machine Learning (ML) h...
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11/19/2021
Machine Learning-Based Soft Sensors for Vacuum Distillation Unit
Product quality assessment in the petroleum processing industry can be d...
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11/05/2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness
This paper provides a unified view to explain different adversarial atta...
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10/13/2021
An Efficient Source Model Selection Framework in Model Databases
With the explosive increase of big data, training a Machine Learning (ML...
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09/23/2021
Evolutionary Clustering of Streaming Trajectories
The widespread deployment of smartphones and location-enabled, networked...
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09/09/2021
Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage
The aim of this paper is to improve the accuracy of copy-move forgery de...
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08/18/2021
CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration
Entity Resolution (ER) aims to identify whether two tuples refer to the ...
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08/11/2021
LargeEA: Aligning Entities for Large-scale Knowledge Graphs
Entity alignment (EA) aims to find equivalent entities in different know...
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06/17/2021
Pre-treatment of outliers and anomalies in plant data: Methodology and case study of a Vacuum Distillation Unit
Data pre-treatment plays a significant role in improving data quality, t...
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06/04/2021
Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL
Recently, Text-to-SQL for multi-turn dialogue has attracted great intere...
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06/02/2021
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
This work aims to tackle the challenging heterogeneous graph encoding pr...
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04/10/2021
ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser
Given a database schema, Text-to-SQL aims to translate a natural languag...
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03/12/2021
Game-theoretic Understanding of Adversarially Learned Features
This paper aims to understand adversarial attacks and defense from a new...
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02/25/2021
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
Chinese short text matching is a fundamental task in natural language pr...
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01/23/2021
WebSRC: A Dataset for Web-Based Structural Reading Comprehension
Web search is an essential way for human to obtain information, but it's...
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01/21/2021