Summary of Word Alignment As Preference For Machine Translation, by Qiyu Wu et al.
Word Alignment as Preference for Machine Translationby Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa TsuruokaFirst…
Summary of Cantonmt: Investigating Back-translation and Model-switch Mechanisms For Cantonese-english Neural Machine Translation, by Kung Yin Hong et al.
CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translationby Kung Yin Hong, Lifeng…
Summary of Are Eeg-to-text Models Working?, by Hyejeong Jo et al.
Are EEG-to-Text Models Working?by Hyejeong Jo, Yiqian Yang, Juhyeok Han, Yiqun Duan, Hui Xiong, Won…
Summary of Guylingo: the Republic Of Guyana Creole Corpora, by Christopher Clarke et al.
Guylingo: The Republic of Guyana Creole Corporaby Christopher Clarke, Roland Daynauth, Charlene Wilkinson, Hubert Devonish,…
Summary of Large Language Model Agent For Fake News Detection, by Xinyi Li et al.
Large Language Model Agent for Fake News Detectionby Xinyi Li, Yongfeng Zhang, Edward C. MalthouseFirst…
Summary of Ultra Inertial Poser: Scalable Motion Capture and Tracking From Sparse Inertial Sensors and Ultra-wideband Ranging, by Rayan Armani et al.
Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Rangingby…
Summary of Rag and Rau: a Survey on Retrieval-augmented Language Model in Natural Language Processing, by Yucheng Hu et al.
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processingby Yucheng Hu,…
Summary of Suvach — Generated Hindi Qa Benchmark, by Vaishak Narayanan et al.
Suvach – Generated Hindi QA benchmarkby Vaishak Narayanan, Prabin Raj KP, Saifudheen NouphalFirst submitted to…
Summary of Reinforcement Learning Problem Solving with Large Language Models, by Sina Gholamian et al.
Reinforcement Learning Problem Solving with Large Language Modelsby Sina Gholamian, Domingo HuhFirst submitted to arxiv…
Summary of Modeling Orthographic Variation Improves Nlp Performance For Nigerian Pidgin, by Pin-jie Lin et al.
Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidginby Pin-Jie Lin, Merel Scholman, Muhammed Saeed,…