Summary of Empowering Meta-analysis: Leveraging Large Language Models For Scientific Synthesis, by Jawad Ibn Ahad et al.
Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesisby Jawad Ibn Ahad, Rafeed Mohammad Sultan,…
Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesisby Jawad Ibn Ahad, Rafeed Mohammad Sultan,…
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuningby Wenke Huang, Jian…
Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study…
ColorEdit: Training-free Image-Guided Color editing with diffusion modelby Xingxi Yin, Zhi Li, Jingfeng Zhang, Chenglin…
LLM Hallucination Reasoning with Zero-shot Knowledge Testby Seongmin Lee, Hsiang Hsu, Chun-Fu ChenFirst submitted to…
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventionsby Micha Kaiser, Paul Lohmann,…
A Comprehensive Survey of AI-Driven Advancements and Techniques in Automated Program Repair and Code Generationby…
Training Data for Large Language Modelby Yiming Ju, Huanhuan MaFirst submitted to arxiv on: 12…
Is Cognition consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understandingby Zirui…
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social…