ranking optimization

Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression AAAI 2026 EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models EMNLP 2025 KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank AAAI 2025 YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization SemEval 2025 Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024 Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation EMNLP 2024 Make Large Language Model a Better Ranker EMNLP 2024 Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 2023 Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract) IJCAI 2022 Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough AAAI 2022 Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021 Top-k Ranking Bayesian Optimization AAAI 2021 Ladder Loss for Coherent Visual-Semantic Embedding AAAI 2020 StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020 Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019 Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search IJCAI 2018 Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection IJCAI 2017 Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis ICCV 2015 Top Rank Optimization in Linear Time NeurIPS 2014 Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NeurIPS 2013 Accuracy at the Top NeurIPS 2012 Learning to Rank by Optimizing NDCG Measure NeurIPS 2009 Empirical performance maximization for linear rank statistics NeurIPS 2008