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DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding

Dec 26, 2023
Hang Du, Guoshun Nan, Sicheng Zhang, Binzhu Xie, Junrui Xu, Hehe Fan, Qimei Cui, Xiaofeng Tao, Xudong Jiang

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L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models

Dec 30, 2023
Harsh Chaudhari, Anuja Patil, Dhanashree Lavekar, Pranav Khairnar, Raviraj Joshi

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Prompt-Propose-Verify: A Reliable Hand-Object-Interaction Data Generation Framework using Foundational Models

Dec 23, 2023
Gurusha Juneja, Sukrit Kumar

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A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models

Jan 02, 2024
Vansh Sharma, Venkat Raman

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Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification

Nov 28, 2023
Jiahuan Yan, Haojun Gao, Zhang Kai, Weize Liu, Danny Chen, Jian Wu, Jintai Chen

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Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels

Dec 14, 2023
Lysimachos Maltoudoglou, Andreas Paisios, Ladislav Lenc, Jiří Martínek, Pavel Král, Harris Papadopoulos

Figure 1 for Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels
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Figure 4 for Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels
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Benchmarking Large Language Models on Controllable Generation under Diversified Instructions

Jan 01, 2024
Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao

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Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets

Dec 31, 2023
Payam Karisani

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Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation

Dec 05, 2023
Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl

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Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

Dec 27, 2023
Huan Liu, Zichang Tan, Chuangchuang Tan, Yunchao Wei, Yao Zhao, Jingdong Wang

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