발행물

논문
특허
저서
컨퍼런스

전체 논문

2601

211

In-Context Language Learning: Architectures and Algorithms
Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas
arXiv (Cornell University), 2024

212

Data Engineering for Scaling Language Models to 128K Context
Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng
arXiv (Cornell University), 2024

213

Parallelizing Linear Transformers with the Delta Rule over Sequence Length
Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim
arXiv (Cornell University), 2024

214

Training-Free Activation Sparsity in Large Language Models
James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun
arXiv (Cornell University), 2024

215

The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
Zhaofeng Wu, Xinyan Yu, Dani Yogatama, Jiasen Lu, Yoon Kim
arXiv (Cornell University), 2024

216

Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models
Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Chen Jie
arXiv (Cornell University), 2024

217

Learning to Decode Collaboratively with Multiple Language Models
Shannon Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David Sontag
arXiv (Cornell University), 2024

218

CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
Yujun Mao, Yoon Kim, Yilun Zhou
arXiv (Cornell University), 2024

219

Diversity Measurement and Subset Selection for Instruction Tuning Datasets
Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
arXiv (Cornell University), 2024

220

Improving Black-box Robustness with In-Context Rewriting
Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Méndez-Astudillo, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
arXiv (Cornell University), 2024