Summary of Can Large Language Models Unlock Novel Scientific Research Ideas?, by Sandeep Kumar et al.
Can Large Language Models Unlock Novel Scientific Research Ideas?by Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal,…
Summary of Negation Blindness in Large Language Models: Unveiling the No Syndrome in Image Generation, by Mohammad Nadeem et al.
Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generationby Mohammad Nadeem,…
Summary of From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models, by Kaylee Chhua et al.
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Modelsby Kaylee…
Summary of Retrieval-augmented Generation Meets Data-driven Tabula Rasa Approach For Temporal Knowledge Graph Forecasting, by Geethan Sannidhi et al.
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecastingby Geethan Sannidhi, Sagar…
Summary of Muma-tom: Multi-modal Multi-agent Theory Of Mind, by Haojun Shi et al.
MuMA-ToM: Multi-modal Multi-Agent Theory of Mindby Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla…
Summary of Rulealign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment, by Xiaohan Wang et al.
RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignmentby Xiaohan Wang, Xiaoyan Yang,…
Summary of Benchmarking the Capabilities Of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors, by Usman Syed et al.
Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning…
Summary of Efficient Solutions For An Intriguing Failure Of Llms: Long Context Window Does Not Mean Llms Can Analyze Long Sequences Flawlessly, by Peyman Hosseini et al.
Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs…
Summary of What Comes After Transformers? — a Selective Survey Connecting Ideas in Deep Learning, by Johannes Schneider
What comes after transformers? – A selective survey connecting ideas in deep learningby Johannes SchneiderFirst…
Summary of Leveraging Vision Language Models For Specialized Agricultural Tasks, by Muhammad Arbab Arshad et al.
Leveraging Vision Language Models for Specialized Agricultural Tasksby Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho…