Papers
Non-Autoregressive Machine Translation as Constrained HMM
Haoran Li, Zhanming Jie, Wei Lu
Non-compositional Expression Generation and its Continual Learning
Jianing Zhou, Suma Bhat
No perspective, no perception!! Perspective-aware Healthcare Answer Summarization
Gauri Naik, Sharad Chandakacherla, Shweta Yadav et al.
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang et al.
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
Xudong Lu, Qi Liu, Yuhui Xu et al.
NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes
Junda Wang, Zonghai Yao, Zhichao Yang et al.
NounAtlas: Filling the Gap in Nominal Semantic Role Labeling
Roberto Navigli, Marco Lo Pinto, Pasquale Silvestri et al.
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes
Lizhou Fan, Wenyue Hua, Lingyao Li et al.
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
Ancheng Xu, Minghuan Tan, Lei Wang et al.
NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection
Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou et al.
Occam’s Razor and Bender and Koller’s Octopus
Michael Guerzhoy
OceanGPT: A Large Language Model for Ocean Science Tasks
Zhen Bi, Ningyu Zhang, Yida Xue et al.
ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs
Lei Sun, Zhengwei Tao, Youdi Li et al.
OLIVE: Object Level In-Context Visual Embeddings
Timothy Ossowski, Junjie Hu
OLMo: Accelerating the Science of Language Models
Dirk Groeneveld, Iz Beltagy, Evan Walsh et al.
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
Chaoqun He, Renjie Luo, Yuzhuo Bai et al.
On Context Utilization in Summarization with Large Language Models
Mathieu Ravaut, Aixin Sun, Nancy Chen et al.
On Efficient and Statistical Quality Estimation for Data Annotation
Jan-Christoph Klie, Juan Haladjian, Marc Kirchner et al.
On Efficiently Representing Regular Languages as RNNs
Anej Svete, Robin Chan, Ryan Cotterell
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation
Tejpalsingh Siledar, Swaroop Nath, Sankara Muddu et al.
One-Shot Learning as Instruction Data Prospector for Large Language Models
Yunshui Li, Binyuan Hui, Xiaobo Xia et al.
On Improving Repository-Level Code QA for Large Language Models
Jan Strich, Florian Schneider, Irina Nikishina et al.
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Lin Long, Rui Wang, Ruixuan Xiao et al.