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08/15/2023
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
In this paper, we investigate the in-context learning ability of retriev...
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07/05/2023
Citation: A Key to Building Responsible and Accountable Large Language Models
Large Language Models (LLMs) bring transformative benefits alongside uni...
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06/19/2023
Unsupervised Open-domain Keyphrase Generation
In this work, we study the problem of unsupervised open-domain keyphrase...
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05/24/2023
Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation
When answering complex questions, large language models (LLMs) may produ...
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05/22/2023
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
The advancement of large language models (LLMs) brings notable improveme...
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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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05/05/2023
Expository Text Generation: Imitate, Retrieve, Paraphrase
Expository documents are vital resources for conveying complex informati...
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04/20/2023
Why Does ChatGPT Fall Short in Answering Questions Faithfully?
Recent advancements in Large Language Models, such as ChatGPT, have demo...
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12/20/2022
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships
In this paper, we propose DimonGen, which aims to generate diverse sente...
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12/20/2022
Towards Reasoning in Large Language Models: A Survey
Reasoning is a fundamental aspect of human intelligence that plays a cru...
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11/20/2022
VER: Learning Natural Language Representations for Verbalizing Entities and Relations
Entities and relationships between entities are vital in the real world....
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11/15/2022
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
Open Information Extraction (OpenIE) has been used in the pipelines of v...
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10/16/2022
Coordinated Topic Modeling
We propose a new problem called coordinated topic modeling that imitates...
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10/11/2022
Can Language Models Be Specific? How?
A good speaker not only needs to be correct, but also has the ability to...
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05/25/2022
Are Large Pre-Trained Language Models Leaking Your Personal Information?
Large Pre-Trained Language Models (PLMs) have facilitated and dominated ...
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05/21/2022
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities
In this paper, we propose Descriptive Knowledge Graph (DKG) - an open an...
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03/19/2022
Domain Representative Keywords Selection: A Probabilistic Approach
We propose a probabilistic approach to select a subset of a target domai...
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11/14/2021
CDM: Combining Extraction and Generation for Definition Modeling
Definitions are essential for term understanding. Recently, there is an ...
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10/24/2021
CoVA: Context-aware Visual Attention for Webpage Information Extraction
Webpage information extraction (WIE) is an important step to create know...
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08/20/2021
Open Relation Modeling: Learning to Define Relations between Entities
Relations between entities can be represented by different instances, e....
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05/27/2021
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
We propose to measure fine-grained domain relevance - the degree that a ...
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10/05/2020
Exploring Semantic Capacity of Terms
We introduce and study semantic capacity of terms. For example, the sema...
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02/13/2020
Geom-GCN: Geometric Graph Convolutional Networks
Message-passing neural networks (MPNNs) have been successfully applied t...
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05/11/2019
Mining Hidden Populations through Attributed Search
Researchers often query online social platforms through their applicatio...
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11/28/2017
Topological Recurrent Neural Network for Diffusion Prediction
In this paper, we study the problem of using representation learning to ...
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09/22/2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Graph is an important data representation which appears in a wide divers...
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05/15/2017
Active Learning for Graph Embedding
Graph embedding provides an efficient solution for graph analysis by con...
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01/17/2017
From Community Detection to Community Profiling
Most existing community-related studies focus on detection, which aim to...
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10/31/2016