Summary of Llm Evaluators Recognize and Favor Their Own Generations, by Arjun Panickssery et al.
LLM Evaluators Recognize and Favor Their Own Generationsby Arjun Panickssery, Samuel R. Bowman, Shi FengFirst…
Summary of Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks, by Avinash Anand et al.
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasksby Avinash Anand, Mohit Gupta, Kritarth…
Summary of Cell Phone Image-based Persian Rice Detection and Classification Using Deep Learning Techniques, by Mahmood Saeedi Kelishami and Amin Saeidi Kelishami and Sajjad Saeedi Kelishami
Cell Phone Image-Based Persian Rice Detection and Classification Using Deep Learning Techniquesby Mahmood Saeedi kelishami,…
Summary of Advancing the Robustness Of Large Language Models Through Self-denoised Smoothing, by Jiabao Ji et al.
Advancing the Robustness of Large Language Models through Self-Denoised Smoothingby Jiabao Ji, Bairu Hou, Zhen…
Summary of Grasper: a Generalist Pursuer For Pursuit-evasion Problems, by Pengdeng Li et al.
Grasper: A Generalist Pursuer for Pursuit-Evasion Problemsby Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerny,…
Summary of Exploring the Landscape Of Large Language Models: Foundations, Techniques, and Challenges, by Milad Moradi et al.
Exploring the landscape of large language models: Foundations, techniques, and challengesby Milad Moradi, Ke Yan,…
Summary of Token-level Direct Preference Optimization, by Yongcheng Zeng et al.
Token-level Direct Preference Optimizationby Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun…
Summary of Enhancing Q&a with Domain-specific Fine-tuning and Iterative Reasoning: a Comparative Study, by Zooey Nguyen et al.
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Studyby Zooey Nguyen, Anthony Annunziata,…
Summary of Cross-problem Learning For Solving Vehicle Routing Problems, by Zhuoyi Lin et al.
Cross-Problem Learning for Solving Vehicle Routing Problemsby Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao,…
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…