Papers
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization
Ondrej Skopek, Rahul Aralikatte, Sian Gooding et al.
Towards Better Representations for Multi-Label Text Classification with Multi-granularity Information
Fangfang Li, Puzhen Su, Junwen Duan et al.
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View
Ruotian Ma, Xiaolei Wang, Xin Zhou et al.
Towards Concept-Aware Large Language Models
Chen Shani, Jilles Vreeken, Dafna Shahaf
Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators
Tin Nguyen, Jiannan Xu, Aayushi Roy et al.
Towards Detecting Contextual Real-Time Toxicity for In-Game Chat
Zachary Yang, Nicolas Grenon-Godbout, Reihaneh Rabbany
Towards Detecting Lexical Change of Hate Speech in Historical Data
Sanne Hoeken, Sophie Spliethoff, Silke Schwandt et al.
Towards Effective Automatic Debt Collection with Persona Awareness
Tong Zhang, Junhong Liu, Chen Huang et al.
Towards Effective Disambiguation for Machine Translation with Large Language Models
Vivek Iyer, Pinzhen Chen, Alexandra Birch
Towards Effective Long-Form QA with Evidence Augmentation
Mengxia Yu, Sara Rosenthal, Mihaela Bornea et al.
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
Shuhan Wu, Huaiyu Wan, Wei Chen et al.
Towards Example-Based NMT with Multi-Levenshtein Transformers
Maxime Bouthors, Josep Crego, François Yvon
Towards Explainable and Accessible AI
Brandon Duderstadt, Yuvanesh Anand
Towards Fine-Grained Argumentation Strategy Analysis in Persuasive Essays
Robin Schaefer, René Knaebel, Manfred Stede
Towards Formality-Aware Neural Machine Translation by Leveraging Context Information
Dohee Kim, Yujin Baek, Soyoung Yang et al.
Towards General Error Diagnosis via Behavioral Testing in Machine Translation
Junjie Wu, Lemao Liu, Dit-Yan Yeung
Towards Informative Open-ended Text Generation with Dynamic Knowledge Triples
Zixuan Ren, Yang Zhao, Chengqing Zong
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation
Yixin Liu, Alexander Fabbri, Yilun Zhao et al.
Towards Interpretable Mental Health Analysis with Large Language Models
Kailai Yang, Shaoxiong Ji, Tianlin Zhang et al.
Towards large language model-based personal agents in the enterprise: Current trends and open problems
Vinod Muthusamy, Yara Rizk, Kiran Kate et al.
Towards LLM-driven Dialogue State Tracking
Yujie Feng, Zexin Lu, Bo Liu et al.
Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models
Weishi Wang, Yue Wang, Steven Hoi et al.
Towards Low-resource Language Generation with Limited Supervision
Kaushal Maurya, Maunendra Desarkar
Towards Making the Most of ChatGPT for Machine Translation
Keqin Peng, Liang Ding, Qihuang Zhong et al.