conftrace_

ranking optimization

24 papers

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Co-occurring keywords

metric learning (1190) large language model (13587) learning to rank (185) rank optimization (9) ranking function (23) lora fine-tuning (37) focal loss (92) convex surrogate (22) average precision (27) listmle ranking (2)

Papers

Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression AAAI 2026
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 ACL 2025
YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization SEMEVAL 2025
EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models EMNLP 2025
Make Large Language Model a Better Ranker EMNLP 2024
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
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 2023
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough AAAI 2022
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract) IJCAI 2022
Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021
Top-k Ranking Bayesian Optimization AAAI 2021
StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020
Ladder Loss for Coherent Visual-Semantic Embedding AAAI 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 NIPS 2014
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NIPS 2013
Accuracy at the Top NIPS 2012
Learning to Rank by Optimizing NDCG Measure NIPS 2009
Empirical performance maximization for linear rank statistics NIPS 2008