Summary of Guided Reasoning: a Non-technical Introduction, by Gregor Betz
Guided Reasoning: A Non-Technical Introductionby Gregor BetzFirst submitted to arxiv on: 29 Aug 2024CategoriesMain: Artificial…
Summary of Fa-yolo: Research on Efficient Feature Selection Yolo Improved Algorithm Based on Fmds and Agmf Modules, by Yukang Huo et al.
FA-YOLO: Research On Efficient Feature Selection YOLO Improved Algorithm Based On FMDS and AGMF Modulesby…
Summary of Toward Robust Early Detection Of Alzheimer’s Disease Via An Integrated Multimodal Learning Approach, by Yifei Chen et al.
Toward Robust Early Detection of Alzheimer’s Disease via an Integrated Multimodal Learning Approachby Yifei Chen,…
Summary of Coin: Control-inpainting Diffusion Prior For Human and Camera Motion Estimation, by Jiefeng Li et al.
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimationby Jiefeng Li, Ye Yuan, Davis…
Summary of Integrating Features For Recognizing Human Activities Through Optimized Parameters in Graph Convolutional Networks and Transformer Architectures, by Mohammad Belal (1) et al.
Integrating Features for Recognizing Human Activities through Optimized Parameters in Graph Convolutional Networks and Transformer…
Summary of Enhancing Dialogue Generation in Werewolf Game Through Situation Analysis and Persuasion Strategies, by Zhiyang Qi and Michimasa Inaba
Enhancing Dialogue Generation in Werewolf Game Through Situation Analysis and Persuasion Strategiesby Zhiyang Qi, Michimasa…
Summary of Drivegenvlm: Real-world Video Generation For Vision Language Model Based Autonomous Driving, by Yongjie Fu et al.
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Drivingby Yongjie Fu, Anmol Jain,…
Summary of Smaller, Weaker, Yet Better: Training Llm Reasoners Via Compute-optimal Sampling, by Hritik Bansal et al.
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Samplingby Hritik Bansal, Arian Hosseini, Rishabh…
Summary of Assessing Large Language Models For Online Extremism Research: Identification, Explanation, and New Knowledge, by Beidi Dong et al.
Assessing Large Language Models for Online Extremism Research: Identification, Explanation, and New Knowledgeby Beidi Dong,…
Summary of Dissecting Out-of-distribution Detection and Open-set Recognition: a Critical Analysis Of Methods and Benchmarks, by Hongjun Wang et al.
Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarksby Hongjun Wang,…