ranking model

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ACL 2026 Complexity-Aware Scientific Literature Search: Searching for Relevant and Accessible Scientific Text COLING 2024 Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank NAACL 2024 MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model ACL 2024 Optimal Design for Human Preference Elicitation NeurIPS 2024 SIERA: An Evaluation Metric for Text Simplification using the Ranking Model and Data Augmentation by Edit Operations COLING 2024 TED-EL: A Corpus for Speech Entity Linking COLING 2024 Uncertainty Quantification of MLE for Entity Ranking with Covariates JMLR 2024 Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 2023 HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction EMNLP 2023 Learning to Retrieve Engaging Follow-Up Queries EACL 2023 Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist ICML 2023 RD-Suite: A Benchmark for Ranking Distillation NeurIPS 2023 A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review JMLR 2022 Identifying relevant common sense information in knowledge graphs ACL 2022 On A Mallows-type Model For (Ranked) Choices NeurIPS 2022 PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation EMNLP 2022 RankGen: Improving Text Generation with Large Ranking Models EMNLP 2022 A Case Study of In-House Competition for Ranking Constructive Comments in a News Service NAACL 2021 Individually Fair Rankings ICLR 2021 Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation EMNLP 2021 Meta-Cal: Well-controlled Post-hoc Calibration by Ranking ICML 2021 Practical Relative Order Attack in Deep Ranking ICCV 2021 Towards Quantifiable Dialogue Coherence Evaluation ACL 2021 Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator EMNLP 2021