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09/07/2023
TaleStream: Supporting Story Ideation with Trope Knowledge
Story ideation is a critical part of the story-writing process. It is ch...
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08/22/2023
Knowledge Graph Prompting for Multi-Document Question Answering
The 'pre-train, prompt, predict' paradigm of large language models (LLMs...
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06/29/2023
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Instruction tuning unlocks the superior capability of Large Language Mod...
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02/15/2023
Envisioning the Next-Gen Document Reader
People read digital documents on a daily basis to share, exchange, and u...
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12/28/2022
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
In this work, we introduce a hypergraph representation learning framewor...
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12/22/2022
Graph Learning with Localized Neighborhood Fairness
Learning fair graph representations for downstream applications is becom...
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09/30/2022
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Temporal networks model a variety of important phenomena involving timed...
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11/04/2021
An Interpretable Graph Generative Model with Heterophily
Many models for graphs fall under the framework of edge-independent dot ...
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10/05/2021
Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is an NLP task that entails proce...
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09/15/2021
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems
Conversations aimed at determining good recommendations are iterative in...
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09/11/2021
StreamHover: Livestream Transcript Summarization and Annotation
With the explosive growth of livestream broadcasting, there is an urgent...
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04/13/2021
Developing a Conversational Recommendation System for Navigating Limited Options
We have developed a conversational recommendation system designed to hel...
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04/11/2021
Edge: Enriching Knowledge Graph Embeddings with External Text
Knowledge graphs suffer from sparsity which degrades the quality of repr...
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10/24/2020
Learning Contextualized Knowledge Structures for Commonsense Reasoning
Recently, neural-symbolic architectures have achieved success on commons...
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10/24/2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Symbolic knowledge (e.g., entities, relations, and facts in a knowledge ...
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09/28/2020
Graph Neural Networks with Heterophily
Graph Neural Networks (GNNs) have proven to be useful for many different...
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07/07/2020
ISA: An Intelligent Shopping Assistant
Despite the growth of e-commerce, brick-and-mortar stores are still the ...
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04/17/2019
Towards Open Intent Discovery for Conversational Text
Detecting and identifying user intent from text, both written and spoken...
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01/08/2019