conftrace_

ranking model

47 papers

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Co-occurring keywords

maximum likelihood estimation (233) information retrieval (1514) plackett-luce model (31) learning to rank (185) preference learning (418) mixture model (262) mallows model (30) question answering (2963) pairwise comparison (187) probability distribution (265)

Papers

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ACL 2026
Uncertainty Quantification of MLE for Entity Ranking with Covariates JMLR 2024
Complexity-Aware Scientific Literature Search: Searching for Relevant and Accessible Scientific Text COLING 2024
MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model ACL 2024
SIERA: An Evaluation Metric for Text Simplification using the Ranking Model and Data Augmentation by Edit Operations COLING 2024
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank NAACL 2024
Optimal Design for Human Preference Elicitation NIPS 2024
TED-EL: A Corpus for Speech Entity Linking COLING 2024
Learning to Retrieve Engaging Follow-Up Queries EACL 2023
HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction EMNLP 2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 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 NIPS 2023
PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation EMNLP 2022
A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review JMLR 2022
On A Mallows-type Model For (Ranked) Choices NIPS 2022
Identifying relevant common sense information in knowledge graphs ACL 2022
RankGen: Improving Text Generation with Large Ranking Models EMNLP 2022
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
Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator EMNLP 2021
Towards Quantifiable Dialogue Coherence Evaluation ACL 2021
A Case Study of In-House Competition for Ranking Constructive Comments in a News Service NAACL 2021
Unbabel’s Participation in the WMT20 Metrics Shared Task EMNLP 2020