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09/07/2023
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Despite their impressive capabilities, large language models (LLMs) are ...
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06/05/2023
Interactive Editing for Text Summarization
Summarizing lengthy documents is a common and essential task in our dail...
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05/22/2023
Album Storytelling with Iterative Story-aware Captioning and Large Language Models
This work studies how to transform an album to vivid and coherent storie...
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05/09/2023
Summarization with Precise Length Control
Many applications of text generation such as summarization benefit from ...
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05/04/2023
ChatGPT-steered Editing Instructor for Customization of Abstractive Summarization
Tailoring outputs of large language models, such as ChatGPT, to specific...
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02/24/2023
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
Large language models (LLMs), such as ChatGPT, are able to generate huma...
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01/18/2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Unsupervised domain adaption has been widely adopted in tasks with scarc...
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12/13/2022
Look Before You Match: Instance Understanding Matters in Video Object Segmentation
Exploring dense matching between the current frame and past frames for l...
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11/29/2022
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
This paper focuses on analyzing and improving the commonsense ability of...
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09/15/2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
This paper presents OmniVL, a new foundation model to support both image...
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06/03/2022
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning
People say, "A picture is worth a thousand words". Then how can we get t...
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06/02/2022
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
This paper revisits visual representation in knowledge-based visual ques...
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05/03/2022
i-Code: An Integrative and Composable Multimodal Learning Framework
Human intelligence is multimodal; we integrate visual, linguistic, and a...
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04/20/2022
K-LITE: Learning Transferable Visual Models with External Knowledge
Recent state-of-the-art computer vision systems are trained from natural...
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11/30/2020
A Hypergradient Approach to Robust Regression without Correspondence
We consider a regression problem, where the correspondence between input...
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02/18/2020
Conditional Self-Attention for Query-based Summarization
Self-attention mechanisms have achieved great success on a variety of NL...
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02/16/2020
Differentiable Top-k Operator with Optimal Transport
The top-k operation, i.e., finding the k largest or smallest elements fr...
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09/04/2019
Meta Learning with Relational Information for Short Sequences
This paper proposes a new meta-learning method -- named HARMLESS (HAwkes...
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05/01/2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
Optimal Transport (OT) naturally arises in many machine learning applica...
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02/05/2019
AVP: Physics-informed Data Generation for Small-data Learning
Deep neural networks have achieved great success in multiple learning pr...
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08/14/2018
Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
Machine learning methods play increasingly important roles in pre-proced...
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02/12/2018