Summary of Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing, by Jaeill Kim et al.
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairingby Jaeill Kim, Duhun Hwang, Eunjung Lee, Jangwon…
Summary of Bootstrapping Llm-based Task-oriented Dialogue Agents Via Self-talk, by Dennis Ulmer et al.
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talkby Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Justin Sun,…
Summary of Pre-trained Large Language Models For Financial Sentiment Analysis, by Wei Luo et al.
Pre-trained Large Language Models for Financial Sentiment Analysisby Wei Luo, Dihong GongFirst submitted to arxiv…
Summary of Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection Dataset, by Shrey Satapara et al.
Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection Datasetby Shrey Satapara, Parth…
Summary of Exploiting Data Hierarchy As a New Modality For Contrastive Learning, by Arjun Bhalla et al.
Exploiting Data Hierarchy as a New Modality for Contrastive Learningby Arjun Bhalla, Daniel Levenson, Jan…
Summary of Refining Pre-trained Motion Models, by Xinglong Sun et al.
Refining Pre-Trained Motion Modelsby Xinglong Sun, Adam W. Harley, Leonidas J. GuibasFirst submitted to arxiv…
Summary of Meta-optimization For Higher Model Generalizability in Single-image Depth Prediction, by Cho-ying Wu et al.
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Predictionby Cho-Ying Wu, Yiqi Zhong, Junying Wang,…
Summary of Verilogeval: Evaluating Large Language Models For Verilog Code Generation, by Mingjie Liu et al.
VerilogEval: Evaluating Large Language Models for Verilog Code Generationby Mingjie Liu, Nathaniel Pinckney, Brucek Khailany,…
Summary of Learning with Silver Standard Data For Zero-shot Relation Extraction, by Tianyin Wang et al.
Learning with Silver Standard Data for Zero-shot Relation Extractionby Tianyin Wang, Jianwei Wang, Ziqian ZengFirst…
Summary of Label-efficient Self-supervised Federated Learning For Tackling Data Heterogeneity in Medical Imaging, by Rui Yan et al.
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imagingby Rui Yan, Liangqiong Qu,…