PPaperPicks

Scott Sanner

University of Toronto, Department of Mechanical and Industrial Engineering, Canada

28 papers at tracked venues · 20 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval
  2. CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models
  3. Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization
  4. Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation
  5. Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments
  6. Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions
  7. Semantic XPath: Structured Agentic Memory Access for Conversational AI
  8. ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning
  9. Batched Self-Consistency Improves LLM Relevance Assessment and Ranking
  10. CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge
  11. GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI
  12. ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
  13. LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases
  14. MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
  15. ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning
  16. Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents
  17. Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison
  18. Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
  19. Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
  20. Tutorial on Recommendation with Generative Models (Gen-RecSys)
  21. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
  22. Bayesian Inference with Complex Knowledge Graph Evidence
  23. Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation
  24. Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models
    NAACL 2024 ·
    Mohammad Mahdi Abdollah Pour
  25. Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking
  26. Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
  27. The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)
  28. Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution