Language and Number Sense: ANS Representations for 'Most'. - Yasutada Sudo; Hadas Kotek; Michelle Fullwood; Martin Hackl (CogSci, 2012)

Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution. - David Q. Sun; Hadas Kotek; Christopher Klein; Mayank Gupta; William Li; Jason D. Williams (COLING, 2020)

Generating Natural Questions from Images for Multimodal Assistants. - Alkesh Patel; Akanksha Bindal; Hadas Kotek; Christopher Klein; Jason D. Williams (ICASSP, 2021)

MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants. - Alkesh Patel; Joel Ruben Antony Moniz; Roman Nguyen; Nick Tzou; Hadas Kotek; Vincent Renkens (CoRR, 2021)

Gender bias and stereotypes in Large Language Models. - Hadas Kotek; Rikker Dockum; David Q. Sun (CI, 2023)

DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues. - David Q. Sun; Artem Abzaliev; Hadas Kotek; Christopher Klein; Zidi Xiu; Jason D. Williams (EMNLP (Industry Track), 2023)

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out. - Zidi Xiu; Kai-Chen Cheng; David Q. Sun; Jiannan Lu; Hadas Kotek; Yuhan Zhang; Paul McCarthy; Christopher Klein; Stephen Pulman; Jason D. Williams (PAKDD (2), 2023)

Protected group bias and stereotypes in Large Language Models. - Hadas Kotek; David Q. Sun; Zidi Xiu; Margit Bowler; Christopher Klein (CoRR, 2024)

Apple Intelligence Foundation Language Models. - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang 002; Chen Chen 005; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 2024)

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations. - Hadas Orgad; Michael Toker; Zorik Gekhman; Roi Reichart; Idan Szpektor; Hadas Kotek; Yonatan Belinkov (ICLR, 2025)