Papers
Efficient Document-level Event Relation Extraction
Ruochen Li, Zimu Wang, Xinya Du
Choose Your Words Wisely: Domain-adaptive Masking Makes Language Models Learn Faster
Vanshpreet S. Kohli, Aaron Monis, Radhika Mamidi
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension
Saahith Janapati, Yangfeng Ji
Cross-Modal Learning for Music-to-Music-Video Description Generation
Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu et al.
Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders
Kaiyan Zhao, Qiyu Wu, Zhongtao Miao et al.
Tracking Universal Features Through Fine-Tuning and Model Merging
Niels Nielsen Horn, Desmond Elliott
A Bayesian account of pronoun and neopronoun acquisition
Cassandra L Jacobs, Morgan Grobol
Leveraging Large Language Models in Detecting Anti-LGBTQIA+ User-generated Texts
Quoc-Toan Nguyen, Josh Nguyen, Tuan Pham et al.
Dehumanization of LGBTQ+ Groups in Sexual Interactions with ChatGPT
Alexandria Leto, Juan Vásquez, Alexis Palmer et al.
Investigating User Perspectives on Differentially Private Text Privatization
Stephen Meisenbacher, Alexandra Klymenko, Alexander Karpp et al.
Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts
Ibrahim Baroud, Lisa Raithel, Sebastian Möller et al.
Beyond Reconstruction: Generating Privacy-Preserving Clinical Letters
Libo Ren, Samuel Belkadi, Lifeng Han et al.
Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies
Adam Sutton, Xi Bai, Kawsar Noor et al.
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
Gabriel Loiseau, Damien Sileo, Damien Riquet et al.
TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models
Songze Li, Ruoxi Cheng, Xiaojun Jia
HateImgPrompts: Mitigating Generation of Images Spreading Hate Speech
Vineet Kumar Khullar, Venkatesh Velugubantla, Bhanu Prakash Reddy Rella et al.
Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs
Lynn Greschner, Roman Klinger
AI with Emotions: Exploring Emotional Expressions in Large Language Models
Shin-nosuke Ishikawa, Atsushi Yoshino
A Comprehensive Evaluation of Cognitive Biases in LLMs
Simon Malberg, Roman Poletukhin, Carolin M. Schuster et al.
Insights into developing analytical categorization schemes: three problem types related to annotation agreement
Pihla Toivanen, Eetu Mäkelä, Antti Kanner
Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish
Kevin Cohen, Laura Manrique-Gómez, Ruben Manrique