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전체 논문

2601

201

Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James Glass
arXiv (Cornell University), 2024

202

Star-shaped PEDOT:PSS conductive polymers with reduced graphene oxide for high performance supercapacitor
Long Shen, Yunhee Ahn, Yoon Kim, Suyeon Kim, Sung-Hee Choi, Tae‐Dong Kim, Dongju Lee
Macromolecular Research, 2024

203

LangNav: Language as a Perceptual Representation for Navigation
Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
arXiv (Cornell University), 2024

204

Learning to Decode Collaboratively with Multiple Language Models
Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David Sontag
2024

205

CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs’ Mathematical Reasoning Capabilities
Yujun Mao, Yoon Kim, Yilun Zhou
2024

206

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
arXiv (Cornell University), 2024

207

Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment
William Merrill, Zhaofeng Wu, Norihito Naka, Yoon Kim, Tal Linzen
arXiv (Cornell University), 2024

208

Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Yoon Kim, Xixin Wu, Helen Meng, James Glass
2024

209

What Do Language Models Hear? Probing for Auditory Representations in Language Models
Jerry Ngo, Yoon Kim
arXiv (Cornell University), 2024

210

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
Ekin Akyürek, Mehul Damani, Linlu Qiu, Han Ding Guo, Yoon Kim, Jacob Andreas
arXiv (Cornell University), 2024