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08/07/2023
Learning Concise and Descriptive Attributes for Visual Recognition
Recent advances in foundation models present new opportunities for inter...
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05/23/2023
Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction
Despite constituting 65 underrepresented in generative AI research. Mean...
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05/18/2023
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation
The field of text-to-image (T2I) generation has garnered significant att...
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05/18/2023
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
Existing automatic evaluation on text-to-image synthesis can only provid...
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05/03/2023
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings
Recent advances in large language models elicit reasoning in a chain of ...
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05/02/2023
Multimodal Procedural Planning via Dual Text-Image Prompting
Embodied agents have achieved prominent performance in following human i...
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01/31/2023
Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research
What is the impact of human-computer interaction research on industry? W...
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10/27/2022
LAD: Language Augmented Diffusion for Reinforcement Learning
Learning skills from language provides a powerful avenue for generalizat...
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10/21/2022
WikiWhy: Answering and Explaining Cause-and-Effect Questions
As large language models (LLMs) grow larger and more sophisticated, asse...
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10/18/2022
ULN: Towards Underspecified Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a task to guide an embodied agen...
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10/11/2022
CLIP also Understands Text: Prompting CLIP for Phrase Understanding
Contrastive Language-Image Pretraining (CLIP) efficiently learns visual ...
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10/10/2022
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis
Is it possible to build a general and automatic natural language generat...
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10/07/2022
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation
Recent advances in text-to-image synthesis make it possible to visualize...
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09/17/2022
Flexible and Structured Knowledge Grounded Question Answering
Can language models (LM) ground question-answering (QA) tasks in the kno...
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09/10/2022
Anticipating the Unseen Discrepancy for Vision and Language Navigation
Vision-Language Navigation requires the agent to follow natural language...
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09/06/2022
Few-Shot Document-Level Event Argument Extraction
Event argument extraction (EAE) has been well studied at the sentence le...
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08/17/2022
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation
Effectively representing users lie at the core of modern recommender sys...
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06/06/2022
Neuro-Symbolic Causal Language Planning with Commonsense Prompting
Language planning aims to implement complex high-level goals by decompos...
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04/18/2022
Imagination-Augmented Natural Language Understanding
Human brains integrate linguistic and perceptual information simultaneou...
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01/20/2022
AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree
Using a pre-trained language model (i.e. BERT) to apprehend source codes...
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01/19/2022
High-fidelity 3D Model Compression based on Key Spheres
In recent years, neural signed distance function (SDF) has become one of...
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10/22/2021
MIC: Model-agnostic Integrated Cross-channel Recommenders
Semantically connecting users and items is a fundamental problem for the...
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10/13/2021
Federated Natural Language Generation for Personalized Dialogue System
Neural conversational models have long suffered from the problem of inco...
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10/08/2021
Multi-trends Enhanced Dynamic Micro-video Recommendation
The explosively generated micro-videos on content sharing platforms call...
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11/03/2020
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
In recent years, there are a large number of recommendation algorithms p...
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11/01/2020
Future-Aware Diverse Trends Framework for Recommendation
In recommender systems, modeling user-item behaviors is essential for us...
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10/23/2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
Developing agents that can perform complex control tasks from high dimen...
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10/09/2017
