Summary of Large Language Models Have Intrinsic Self-correction Ability, by Dancheng Liu et al.
Large Language Models have Intrinsic Self-Correction Abilityby Dancheng Liu, Amir Nassereldine, Ziming Yang, Chenhui Xu,…
Large Language Models have Intrinsic Self-Correction Abilityby Dancheng Liu, Amir Nassereldine, Ziming Yang, Chenhui Xu,…
Research on Dangerous Flight Weather Prediction based on Machine Learningby Haoxing Liu, Renjie Xie, Haoshen…
WeatherQA: Can Multimodal Language Models Reason about Severe Weather?by Chengqian Ma, Zhanxiang Hua, Alexandra Anderson-Frey,…
Unused information in token probability distribution of generative LLM: improving LLM reading comprehension through calculation…
VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agricultureby Heesup Yun,…
Frustratingly Easy Test-Time Adaptation of Vision-Language Modelsby Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini,…
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Modelsby Wei Wang, Zhaowei Li, Qi Xu,…
Is Temperature the Creativity Parameter of Large Language Models?by Max Peeperkorn, Tom Kouwenhoven, Dan Brown,…
Towards Better Text-to-Image Generation Alignment via Attention Modulationby Yihang Wu, Xiao Cao, Kaixin Li, Zitan…
Understanding the Role of Temperature in Diverse Question Generation by GPT-4by Arav Agarwal, Karthik Mittal,…