Summary of Graph-of-thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems, by Ye Li
Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problemsby Ye LiFirst submitted…
Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problemsby Ye LiFirst submitted…
ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directionsby Nada Shahin,…
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging…
AugSumm: towards generalizable speech summarization using synthetic labels from large language modelby Jee-weon Jung, Roshan…
An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistantby Mohit Tomar, Abhisek Tiwari,…
Grounded learning for compositional vector semanticsby Martha LewisFirst submitted to arxiv on: 10 Jan 2024CategoriesMain:…
TONE: A 3-Tiered ONtology for Emotion analysisby Srishti Gupta, Piyush Kumar Garg, Sourav Kumar DandapatFirst…
Graph Relation Distillation for Efficient Biomedical Instance Segmentationby Xiaoyu Liu, Yueyi Zhang, Zhiwei Xiong, Wei…
Cognitive BPM as an Equalizer: Improving Access and Efficiency for Employees with (and without) Cognitive…
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programsby Matthew L. Daggitt, Wen…