conftrace_

listwise ranking

31 papers

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Co-occurring keywords

large language model (13587) learning to rank (185) recommender system (534) information retrieval (1514) passage ranking (36) implicit feedback (40) ranking function (23) retrieval-augmented generation (1592) neural ranking (43) positional bia (42)

Papers

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking AAAI 2026
BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination ACL 2026
Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine AAAI 2026
RankList – a Listwise Preference Learning Framework for Predicting Subjective Preferences AAAI 2026
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability ACL 2026
MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMs ACL 2025
RoToR: Towards More Reliable Responses for Order-Invariant Inputs ACL 2025
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking EMNLP 2025
Top-one Recommendation with Anonymous User Behaviors (Student Abstract) AAAI 2025
LiPO: Listwise Preference Optimization through Learning-to-Rank NAACL 2025
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models ACL 2025
Permutative Preference Alignment from Listwise Ranking of Human Judgments EMNLP 2025
DiAL : Diversity Aware Listwise Ranking for Query Auto-Complete EMNLP 2024
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models NAACL 2024
Make Large Language Model a Better Ranker EMNLP 2024
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs EMNLP 2024
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings EMNLP 2024
Differentiable sorting for censored time-to-event data. NIPS 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction ACL 2023
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback IJCAI 2022
Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model CVPR 2021
Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data AAAI 2020
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons NIPS 2019
A Domain Generalization Perspective on Listwise Context Modeling AAAI 2019
Listwise temporal ordering of events in clinical notes EMNLP 2018