Summary of A Knowledge-injected Curriculum Pretraining Framework For Question Answering, by Xin Lin et al.
A Knowledge-Injected Curriculum Pretraining Framework for Question Answeringby Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi…
A Knowledge-Injected Curriculum Pretraining Framework for Question Answeringby Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi…
Fine-tuning vs Prompting, Can Language Models Understand Human Values?by Pingwei SunFirst submitted to arxiv on:…
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scaleby Xiang Hu, Pengyu Ji, Qingyang…
Debiased Multimodal Understanding for Human Language Sequencesby Zhi Xu, Dingkang Yang, Mingcheng Li, Yuzheng Wang,…
Do Large Language Model Understand Multi-Intent Spoken Language ?by Shangjian Yin, Peijie Huang, Yuhong Xu,…
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selectionby Jianfeng He, Hang Su, Jason Cai, Igor…
CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environmentsby Savitha Sam Abraham, Marjan Alirezaie, Luc…
Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendationsby Xiaonan Xu, Yichao…
Layer-wise Regularized Dropout for Neural Language Modelsby Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li,…
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transferby Haeji Jung, Changdae Oh,…