Summary of Few and Fewer: Learning Better From Few Examples Using Fewer Base Classes, by Raphael Lafargue et al.
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classesby Raphael Lafargue, Yassir…
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classesby Raphael Lafargue, Yassir…
BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretrainingby Wen Liang, Youzhi…
Large Language Model Adaptation for Financial Sentiment Analysisby Pau Rodriguez Inserte, Mariam NakhlĂ©, Raheel Qader,…
Memory-Inspired Temporal Prompt Interaction for Text-Image Classificationby Xinyao Yu, Hao Sun, Ziwei Niu, Rui Qin,…
Airavata: Introducing Hindi Instruction-tuned LLMby Jay Gala, Thanmay Jayakumar, Jaavid Aktar Husain, Aswanth Kumar M,…
GeoDecoder: Empowering Multimodal Map Understandingby Feng Qi, Mian Dai, Zixian Zheng, Chao WangFirst submitted to…
Language Modelling Approaches to Adaptive Machine Translationby Yasmin MoslemFirst submitted to arxiv on: 25 Jan…
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Modelsby Hongzhan Lin, Ziyang…
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidanceby Haorui Wang, Rongzhi Zhang,…
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contextsby Lingfeng Shen, Weiting Tan,…