Summary of Large Language Models Are In-context Molecule Learners, by Jiatong Li et al.
Large Language Models are In-Context Molecule Learnersby Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan,…
Large Language Models are In-Context Molecule Learnersby Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan,…
DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial networkby Xiangquan Gui, Binxuan…
General2Specialized LLMs Translation for E-commerceby Kaidi Chen, Ben Chen, Dehong Gao, Huangyu Dai, Wen Jiang,…
CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Textby Zhenru…
Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translationby Heegon Jin, Seonil Son,…
Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translationby Seunghyun…
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMsby Zimu Lu,…
Layer-wise Regularized Dropout for Neural Language Modelsby Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li,…
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinementby Zhaopeng Feng, Yan Zhang, Hao Li, Bei…
TMT: Tri-Modal Translation between Speech, Image, and Text by Processing Different Modalities as Different Languagesby…