Summary of Socratic Planner: Inquiry-based Zero-shot Planning For Embodied Instruction Following, by Suyeon Shin et al.
Socratic Planner: Inquiry-Based Zero-Shot Planning for Embodied Instruction Followingby Suyeon Shin, Sujin jeon, Junghyun Kim,…
Summary of Ct-glip: 3d Grounded Language-image Pretraining with Ct Scans and Radiology Reports For Full-body Scenarios, by Jingyang Lin et al.
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenariosby Jingyang…
Summary of Culturebank: An Online Community-driven Knowledge Base Towards Culturally Aware Language Technologies, by Weiyan Shi et al.
CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologiesby Weiyan Shi, Ryan Li,…
Summary of Achieving >97% on Gsm8k: Deeply Understanding the Problems Makes Llms Better Solvers For Math Word Problems, by Qihuang Zhong et al.
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word…
Summary of Epi-sql: Enhancing Text-to-sql Translation with Error-prevention Instructions, by Xiping Liu et al.
EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructionsby Xiping Liu, Zhao TanFirst submitted to arxiv on:…
Summary of Zero-shot High-fidelity and Pose-controllable Character Animation, by Bingwen Zhu et al.
Zero-shot High-fidelity and Pose-controllable Character Animationby Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen…
Summary of Generating Attractive and Authentic Copywriting From Customer Reviews, by Yu-xiang Lin and Wei-yun Ma
Generating Attractive and Authentic Copywriting from Customer Reviewsby Yu-Xiang Lin, Wei-Yun MaFirst submitted to arxiv…
Summary of Large Language Models Can Solve Real-world Planning Rigorously with Formal Verification Tools, by Yilun Hao et al.
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Toolsby Yilun Hao, Yongchao…
Summary of Can Language Models Solve Olympiad Programming?, by Quan Shi et al.
Can Language Models Solve Olympiad Programming?by Quan Shi, Michael Tang, Karthik Narasimhan, Shunyu YaoFirst submitted…
Summary of Improving Composed Image Retrieval Via Contrastive Learning with Scaling Positives and Negatives, by Zhangchi Feng et al.
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negativesby Zhangchi Feng, Richong…