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Workshop
Sat 17:27 Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni · Jonathan Colaço Carr · Yash More · Jackie CK Cheung · Golnoosh Farnadi
Workshop
The Intersectionality Problem for Algorithmic Fairness
Johannes Himmelreich · Arbie Hsu · Kristian Lum · Ellen Veomett
Workshop
Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
Changgeon Ko · Jisu Shin · Hoyun Song · Jeongyeon Seo · Jong Park
Workshop
Toward Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
Kefan Song · Jin Yao · Shangtong Zhang
Workshop
Sat 9:00 Algorithmic Fairness through the lens of Metrics and Evaluation
Awa Dieng · Miriam Rateike · Jamelle Watson-Daniels · Golnoosh Farnadi · Nando Fioretto
Workshop
Multilingual Hallucination Gaps in Large Language Models
Cléa Chataigner · Afaf Taik · Golnoosh Farnadi
Workshop
MED-OMIT: Extrinsically-Focused Evaluation Metric for Omissions in Medical Summarization
Elliot Schumacher · Daniel Rosenthal · Dhruv Naik · Varun Nair · Luladay Price · Geoffrey Tso · Anitha Kannan
Workshop
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models
Mengfei Liang · Archish Arun · Zekun Wu · CRISTIAN VILLALOBOS · Jonathan Lutch · Emre Kazim · Adriano Koshiyama · Philip Treleaven
Workshop
RelWire: Metric Based Rewiring
Rishi Sonthalia · Anna Gilbert · Matthew Durham
Workshop
Does Maximizing Neural Regression Scores Teach Us About The Brain?
Rylan Schaeffer · Mikail Khona · Sarthak Chandra · Mitchell Ostrow · Brando Miranda · Sanmi Koyejo
Workshop
Decision-margin consistency: a principled metric for human and machine performance alignment
George Alvarez · Talia Konkle
Workshop
Demographic (Mis)Alignment of LLMs' Perception of Offensiveness
Shayan Alipour · Indira Sen · Preetam Prabhu Srikar Dammu · Chris Choi · Mattia Samory · Tanu Mitra