Skip to content
conftrace_

learning to rank

192 papers

LTR LETOR

Papers

MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model ACL 2024 PoRank: A Practical Framework for Learning to Rank Policies IJCAI 2024 Step-level Value Preference Optimization for Mathematical Reasoning EMNLP 2024 Deep Ranking Ensembles for Hyperparameter Optimization ICLR 2023 Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback EMNLP 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023 GLEN: Generative Retrieval via Lexical Index Learning EMNLP 2023 Learning to Rank under Multinomial Logit Choice JMLR 2023 Learning to Rank Utterances for Query-Focused Meeting Summarization ACL 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently NeurIPS 2023 OPI at SemEval-2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense Disambiguation SemEval 2023 Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023 RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank ACL 2023 SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data NeurIPS 2023 Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization ICML 2023 Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective NeurIPS 2023 Which Tricks are Important for Learning to Rank? ICML 2023 A Large Scale Search Dataset for Unbiased Learning to Rank NeurIPS 2022 Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document EMNLP 2022 Balanced Self-Paced Learning for AUC Maximization AAAI 2022 Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking EMNLP 2022 Decision-Focused Learning: Through the Lens of Learning to Rank ICML 2022 Efficient and accurate top-k recovery from choice data UAI 2022 Fair Ranking with Noisy Protected Attributes NeurIPS 2022 Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph AACL 2022