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08/07/2023
COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment
Vision-Language Pre-training (VLP) methods based on object detection enj...
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07/17/2023
BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization
Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models...
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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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06/27/2023
Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations
With the extensive accumulation of conversational data on the Internet, ...
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06/08/2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Instruction tuning large language models (LLMs) remains a challenging ta...
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06/07/2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
The increasing reliance on Large Language Models (LLMs) across academia ...
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05/09/2023
Exploiting Pseudo Image Captions for Multimodal Summarization
Cross-modal contrastive learning in vision language pretraining (VLP) fa...
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05/08/2023
Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation
Cross-modal contrastive learning in vision language pretraining (VLP) fa...
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04/23/2023
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
The capability of Large Language Models (LLMs) like ChatGPT to comprehen...
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04/04/2023
Exploring Vision-Language Models for Imbalanced Learning
Vision-Language models (VLMs) that use contrastive language-image pre-tr...
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04/03/2023
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation
End-to-end generation-based approaches have been investigated and applie...
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02/22/2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
ChatGPT is a recent chatbot service released by OpenAI and is receiving ...
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12/29/2022
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
The typical way for relation extraction is fine-tuning large pre-trained...
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12/29/2022
Sequence Generation with Label Augmentation for Relation Extraction
Sequence generation demonstrates promising performance in recent informa...
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11/25/2022
MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts
Event detection (ED) identifies and classifies event triggers from unstr...
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11/16/2022
Consistent Direct Time-of-Flight Video Depth Super-Resolution
Direct time-of-flight (dToF) sensors are promising for next-generation o...
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10/21/2022
Low-Resources Project-Specific Code Summarization
Code summarization generates brief natural language descriptions of sour...
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08/15/2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
While parameter efficient tuning (PET) methods have shown great potentia...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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06/02/2022
Graph Kernels Based on Multi-scale Graph Embeddings
Graph kernels are conventional methods for computing graph similarities....
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05/13/2022
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example
Though widely used in industry, traditional task-oriented dialogue syste...
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03/15/2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification
Graph neural networks (GNNs) often assume strong homophily in graphs, se...
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01/24/2022
Graph Neural Diffusion Networks for Semi-supervised Learning
Graph Convolutional Networks (GCN) is a pioneering model for graph-based...
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01/08/2022
Modeling Human-AI Team Decision Making
AI and humans bring complementary skills to group deliberations. Modelin...
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11/17/2021
Temporally Consistent Online Depth Estimation in Dynamic Scenes
Temporally consistent depth estimation is crucial for real-time applicat...
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11/01/2021
HRViT: Multi-Scale High-Resolution Vision Transformer
Vision transformers (ViTs) have attracted much attention for their super...
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09/30/2021
Deep Embedded K-Means Clustering
Recently, deep clustering methods have gained momentum because of the hi...
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07/12/2021
Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting
Legal judgment prediction(LJP) is an essential task for legal AI. While ...
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07/01/2021
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder
Capturing interactions among event arguments is an essential step toward...
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04/28/2021
Multi-view Inference for Relation Extraction with Uncertain Knowledge
Knowledge graphs (KGs) are widely used to facilitate relation extraction...
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03/21/2021
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach
Code summaries are brief natural language descriptions of source code pi...
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12/09/2020
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
Automatic song writing aims to compose a song (lyric and/or melody) by m...
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04/05/2020
DeepMap: Learning Deep Representations for Graph Classification
Graph-structured data arise in many scenarios. A fundamental problem is ...
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03/24/2020
Incorporating User's Preference into Attributed Graph Clustering
Graph clustering has been studied extensively on both plain graphs and a...
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02/24/2020
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning
Code summarization generates brief natural language description given a ...
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02/23/2020
Tree++: Truncated Tree Based Graph Kernels
Graph-structured data arise ubiquitously in many application domains. A ...
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06/21/2019