Papers
How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions
Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen
How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias
Arka Dutta, Reza Fayyazi, Shanchieh Yang et al.
How DDAIR you? Disambiguated Data Augmentation for Intent Recognition
Galo Castillo-López, Alexis Lombard, Nasredine Semmar et al.
How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets
Chung Peng Lee, Rachel Hong, Harry H. Jiang et al.
How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective
Shimao Zhang, Zhejian Lai, Xiang Liu et al.
How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding
Xi Chen, Aske Plaat, Niki van Stein
How Does LLM-powered Coding Assistance Shape Incidental Learning? Exploring Cognitive Forcing Strategies in Programming Education
Ba-Thinh Tran-Le, Patrick Thomas, Nicholas M. Stiffler et al.
How Do Language Models Acquire Character-Level Information?
Soma Sato, Ryohei Sasano
How Do Lexical Senses Correspond Between Spoken German and German Sign Language?
Melis Çelikkol, Wei Zhao
How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?
Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala et al.
How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation
Deepak Kumar, Emmanouil Karystinaios, Gerhard Widmer et al.
How Foundational Skills Influence VLM-based Embodied Agents: A Native Perspective
Bo Peng, Pi Bu, Keyu Pan et al.
How Good Are LLMs at Processing Tool Outputs?
Kiran Kate, Yara Rizk, Poulami Ghosh et al.
How Hard Is It to Explain Preferences Using Few Boolean Attributes?
Clemens Anzinger, Jiehua Chen, Christian Hatschka et al.
How Hard Is It to Rig a Tournament When Few Players Can Beat or Be Beaten by the Favorite?
Zhonghao Wang, Junqiang Peng, Yuxi Liu et al.
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
Nathan Roos, Ekaterina Iakovleva, Ani Gjergji et al.
How Important is ‘Perfect’ English for Machine Translation Prompts?
Patrícia Schmidtová, Niyati Bafna, Seth Aycock et al.
How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts
Sumin Park, Noseong Park
How Many Ratings per Item are Necessary for Reliable Significance Testing?
Christopher M Homan, Flip Korn, Deepak Pandita et al.
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework
Zi Liang, Liantong Yu, Zhang Shiyu et al.
How Much Pretraining Does Structured Data Need?
Daniel Fadlon, Kfir Bar
How multilingual are multilingual LLMs? A case study in Northern Sámi-Finnish Translation
Jonne Sälevä, Constantine Lignos
How Quantization Shapes Bias in Large Language Models
Federico Marcuzzi, Xuefei Ning, Roy Schwartz et al.