Schnabel, Tobias

8 publications

NeurIPS 2025 Lost in Transmission: When and Why LLMs Fail to Reason Globally Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville

NeurIPSW 2024 Measuring Steerability in Large Language Models Trenton Chang, Jenna Wiens, Tobias Schnabel, Adith Swaminathan

UAI 2024 On Overcoming Miscalibrated Conversational Priors in LLM-Based ChatBots Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan

NeurIPSW 2023 Balancing Multiple Objectives for Efficient Metaprompts for Data Labeling Tasks with Extensive Guidelines Tobias Schnabel, Jennifer Neville

NeurIPS 2019 Deep Generalized Method of Moments for Instrumental Variable Analysis Andrew Bennett, Nathan Kallus, Tobias Schnabel

IJCAI 2018 Unbiased Learning-to-Rank with Biased Feedback Thorsten Joachims, Adith Swaminathan, Tobias Schnabel

ICML 2016 Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims

ICML 2013 Stable Coactive Learning via Perturbation Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel