Alert button

"Text": models, code, and papers
Alert button

Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization

Mar 12, 2023
Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor

Figure 1 for Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
Figure 2 for Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
Figure 3 for Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
Figure 4 for Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
Viaarxiv icon

An Analysis of GPT-3's Performance in Grammatical Error Correction

Mar 25, 2023
Steven Coyne, Keisuke Sakaguchi

Figure 1 for An Analysis of GPT-3's Performance in Grammatical Error Correction
Figure 2 for An Analysis of GPT-3's Performance in Grammatical Error Correction
Figure 3 for An Analysis of GPT-3's Performance in Grammatical Error Correction
Viaarxiv icon

Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation

Sep 28, 2022
Xintian Wu, Hanbin Zhao, Liangli Zheng, Shouhong Ding, Xi Li

Figure 1 for Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
Figure 2 for Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
Figure 3 for Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
Figure 4 for Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
Viaarxiv icon

Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification

Mar 14, 2023
Benjamin Clavié, Alexandru Ciceu, Frederick Naylor, Guillaume Soulié, Thomas Brightwell

Figure 1 for Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
Figure 2 for Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
Figure 3 for Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
Viaarxiv icon

Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion

Apr 03, 2023
Yangming Zhou, Yuzhou Yang, Qichao Ying, Zhenxing Qian, Xinpeng Zhang

Figure 1 for Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
Figure 2 for Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
Figure 3 for Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
Figure 4 for Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
Viaarxiv icon

Global Knowledge Calibration for Fast Open-Vocabulary Segmentation

Mar 16, 2023
Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Yunchao Wei, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao

Figure 1 for Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
Figure 2 for Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
Figure 3 for Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
Figure 4 for Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
Viaarxiv icon

ASPEST: Bridging the Gap Between Active Learning and Selective Prediction

Apr 07, 2023
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Arik, Somesh Jha, Tomas Pfister

Figure 1 for ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Figure 2 for ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Figure 3 for ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Figure 4 for ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Viaarxiv icon

How do decoding algorithms distribute information in dialogue responses?

Mar 29, 2023
Saranya Venkatraman, He He, David Reitter

Figure 1 for How do decoding algorithms distribute information in dialogue responses?
Figure 2 for How do decoding algorithms distribute information in dialogue responses?
Figure 3 for How do decoding algorithms distribute information in dialogue responses?
Figure 4 for How do decoding algorithms distribute information in dialogue responses?
Viaarxiv icon

ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules

Apr 05, 2023
Zhi-Qi Cheng, Qi Dai, Siyao Li, Jingdong Sun, Teruko Mitamura, Alexander G. Hauptmann

Figure 1 for ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
Figure 2 for ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
Figure 3 for ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
Figure 4 for ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
Viaarxiv icon

To ChatGPT, or not to ChatGPT: That is the question!

Apr 05, 2023
Alessandro Pegoraro, Kavita Kumari, Hossein Fereidooni, Ahmad-Reza Sadeghi

Figure 1 for To ChatGPT, or not to ChatGPT: That is the question!
Viaarxiv icon