발행물

전체 논문

332

71

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James Glass, Pengcheng He
arXiv (Cornell University), 2023

72

Learning to Grow Pretrained Models for Efficient Transformer Training
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Cox, Shuicheng Yan, Yoon Kim
arXiv (Cornell University), 2023

73

SAIL: Search-Augmented Instruction Learning
Hongyin Luo, Yung-Sung Chuang, Yuan Gong, Tianhua Zhang, Yoon Kim, Xixin Wu, Danny G. Fox, Helen Meng, James Glass
arXiv (Cornell University), 2023

74

Gated Linear Attention Transformers with Hardware-Efficient Training
Yang Song-lin, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim
arXiv (Cornell University), 2023

75

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
arXiv (Cornell University), 2023

76

Towards Verifiable Text Generation with Symbolic References
Lucas Torroba Hennigen, Shannon Shen, Aniruddha Nrusimha, Bernhard Gapp, David Sontag, Yoon Kim
arXiv (Cornell University), 2023

77

LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim
arXiv (Cornell University), 2023

78

Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing
arXiv (Cornell University), 2023

79

Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Xixin Wu, Yoon Kim, Helen Meng, James Glass
arXiv (Cornell University), 2023

80

VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction
Joshua Gorniak, Yoon Kim, Stephen Gwon, Donglai Wei, Nam Wook Kim
arXiv (Cornell University), 2023