Summary of Improving Machine Translation with Human Feedback: An Exploration Of Quality Estimation As a Reward Model, by Zhiwei He et al.
Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Modelby…
Summary of With Greater Text Comes Greater Necessity: Inference-time Training Helps Long Text Generation, by Y. Wang et al.
With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generationby Y. Wang, D.…
Summary of Curriculum Recommendations Using Transformer Base Model with Infonce Loss and Language Switching Method, by Xiaonan Xu et al.
Curriculum Recommendations Using Transformer Base Model with InfoNCE Loss And Language Switching Methodby Xiaonan Xu,…
Summary of Gender Bias in Machine Translation and the Era Of Large Language Models, by Eva Vanmassenhove
Gender Bias in Machine Translation and The Era of Large Language Modelsby Eva VanmassenhoveFirst submitted…
Summary of Dafoes: Mixing Datasets Towards the Generalization Of Vision-state Deep-learning Force Estimation in Minimally Invasive Robotic Surgery, by Mikel De Iturrate Reyzabal et al.
DaFoEs: Mixing Datasets towards the generalization of vision-state deep-learning Force Estimation in Minimally Invasive Robotic…
Summary of Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation, by Yun-wei Chu et al.
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translationby Yun-Wei…
Summary of Chatgpt, Let Us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directions, by Nada Shahin and Leila Ismail
ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directionsby Nada Shahin,…
Summary of A Survey on the Applications Of Frontier Ai, Foundation Models, and Large Language Models to Intelligent Transportation Systems, by Mohamed R. Shoaib et al.
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to…
Summary of Kun: Answer Polishment For Chinese Self-alignment with Instruction Back-translation, by Tianyu Zheng et al.
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translationby Tianyu Zheng, Shuyue Guo, Xingwei Qu,…
Summary of Lost in the Source Language: How Large Language Models Evaluate the Quality Of Machine Translation, by Xu Huang et al.
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translationby…