Schnabel, Tobias

1. Recommendations as Treatments: Debiasing Learning and Evaluation
   2016/02/17 by Schnabel, Tobias, Swaminathan, Adith, Singh, Ashudeep +2 · 26 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
2. Unbiased Learning-to-Rank with Biased Feedback
   2016/08/16 by Thorsten Joachims, Adith Swaminathan, Joachims, Thorsten +3 · 23 citations
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Search Problems
3. SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
   2021/11/18 by Philippe Laban, Laban, Philippe, Tobias Schnabel +5 · 24 citations
   Computer Science · Decision Sciences · #Topic Modeling #Natural Language Processing Techniques #Data Quality and Management
4. Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
   2024/04/02 by Tobias Schnabel, Schnabel, Tobias, Jennifer Neville +1 · 10 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Embedded Systems Design Techniques #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques
5. Using Shortlists to Support Decision Making and Improve Recommender\n System Performance
   2015/10/26 by Tobias Schnabel, Schnabel, Tobias, Paul N. Bennett +5 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning and Algorithms #Recommender Systems and Techniques
6. On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
   2024/06/01 by Christine Herlihy, Herlihy, Christine, Jennifer Neville +5 · 3 citations
   Computer Science · #AI in Service Interactions #Topic Modeling #Speech and dialogue systems
7. Where Do We Go From Here? Guidelines For Offline Recommender Evaluation
   2022/11/02 by Tobias Schnabel, Schnabel, Tobias · 1 citation
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Data Classification #Data Stream Mining Techniques
8. When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
   2023/05/02 by Yushun Dong, Dong, Yushun, Jundong Li +3 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques
9. A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
   2025/05/27 by Chang, Trenton, Schnabel, Tobias, Swaminathan, Adith +1 · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)