Papers
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
Marcio Fonseca, Shay Cohen
Can Large Multimodal Models Uncover Deep Semantics Behind Images?
Yixin Yang, Zheng Li, Qingxiu Dong et al.
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
Vinay Samuel, Houda Aynaou, Arijit Chowdhury et al.
Can LLMs get help from other LLMs without revealing private information?
Florian Hartmann, Duc-Hieu Tran, Peter Kairouz et al.
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning
Yongqi Tong, Dawei Li, Sizhe Wang et al.
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
Siyuan Wang, Zhongyu Wei, Yejin Choi et al.
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Ming Li, Jiuhai Chen, Lichang Chen et al.
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases
Xiang Zhang, Khatoon Khedri, Reza Rawassizadeh
Can political dogwhistles be predicted by distributional methods for analysis of lexical semantic change?
Max Boholm, Björn Rönnerstrand, Ellen Breitholtz et al.
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology.
Panagiotis Fytas, Anna Breger, Ian Selby et al.
Cantonese Natural Language Processing in the Transformers Era
Rong Xiang, Ming Liao, Jing Li
Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
Zhiwei He, Binglin Zhou, Hongkun Hao et al.
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?
Qingkai Fang, Shaolei Zhang, Zhengrui Ma et al.
Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment
William Merrill, Zhaofeng Wu, Norihito Naka et al.
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
Yuwei Zhang, Siffi Singh, Sailik Sengupta et al.
CARE: A Clue-guided Assistant for CSRs to Read User Manuals
Weihong Du, Jia Liu, Zujie Wen et al.
CATT: Character-based Arabic Tashkeel Transformer
Faris Alasmary, Orjuwan Zaafarani, Ahmad Ghannam
Causal and Temporal Inference in Visual Question Generation by Utilizing Pre-trained Models
Zhanghao Hu, Frank Keller
CausalCite: A Causal Formulation of Paper Citations
Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian et al.
Causal Estimation of Memorisation Profiles
Pietro Lesci, Clara Meister, Thomas Hofmann et al.
Causal-Guided Active Learning for Debiasing Large Language Models
Zhouhao Sun, Li Du, Xiao Ding et al.
CausalGym: Benchmarking causal interpretability methods on linguistic tasks
Aryaman Arora, Dan Jurafsky, Christopher Potts
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems
Amin Abolghasemi, Zhaochun Ren, Arian Askari et al.