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09/16/2023
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals
Recently, the development of large language models (LLMs) has been signi...
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08/17/2023
Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models
Large Language Models (LLMs) have shown remarkable proficiency in follow...
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06/29/2023
The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps
Scanned historical maps in libraries and archives are valuable repositor...
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06/05/2023
Shoal: Improving DAG-BFT Latency And Robustness
The Narwhal system is a state-of-the-art Byzantine fault-tolerant scalab...
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04/03/2023
Learning Anchor Transformations for 3D Garment Animation
This paper proposes an anchor-based deformation model, namely AnchorDEF,...
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03/20/2023
I2Edit: Towards Multi-turn Interactive Image Editing via Dialogue
Although there have been considerable research efforts on controllable f...
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02/22/2023
Guiding Large Language Models via Directional Stimulus Prompting
We introduce a new framework, Directional Stimulus Prompting, that uses ...
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10/21/2022
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
Named geographic entities (geo-entities for short) are the building bloc...
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10/13/2022
Explanations from Large Language Models Make Small Reasoners Better
Integrating free-text explanations to in-context learning of large langu...
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10/09/2022
Controllable Dialogue Simulation with In-Context Learning
Building dialogue systems requires a large corpus of annotated dialogues...
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08/09/2022
Limitations of Language Models in Arithmetic and Symbolic Induction
Recent work has shown that large pretrained Language Models (LMs) can no...
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07/13/2022
Eliminating Gradient Conflict in Reference-based Line-art Colorization
Reference-based line-art colorization is a challenging task in computer ...
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03/14/2022
Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Block-STM is a parallel execution engine for smart contracts, built arou...
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12/12/2021
Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection
Many historical map sheets are publicly available for studies that requi...
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12/03/2021
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
Historical maps contain detailed geographic information difficult to fin...
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10/03/2021
Be Aware of Your Leaders
Advances in blockchains have influenced the State-Machine-Replication (S...
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05/25/2021
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Factorization machine (FM) is a prevalent approach to modeling pairwise ...
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04/07/2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
Graph embedding, aiming to learn low-dimensional representations (aka. e...
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12/12/2020
PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image
In this paper, a real-time method called PoP-Net is proposed to predict ...
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12/10/2020
Cold-start Sequential Recommendation via Meta Learner
This paper explores meta-learning in sequential recommendation to allevi...
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11/13/2020
Heterogeneous Graph Collaborative Filtering
Graph-based collaborative filtering (CF) algorithms have gained increasi...
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09/21/2020
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation
The task of session-based recommendation is to predict user actions base...
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10/12/2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Click-through rate (CTR) prediction is an essential task in web applicat...
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07/31/2019
Semi-supervised Compatibility Learning Across Categories for Clothing Matching
Learning the compatibility between fashion items across categories is a ...
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02/21/2019