RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Luo, Sichun, He, Bowei, Zhao, Haohan, Shao, Wei, Qi, Yanlin, Huang, Yinya, Zhou, Aojun, Yao, Yuxuan, Li, Zongpeng, Xiao, Yuanzhang, Zhan, Mingjie, Song, Linqi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation
por: Luo, Sichun, et al.
Publicado: (2024)
por: Luo, Sichun, et al.
Publicado: (2024)
RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation
por: Meng, Zeyuan, et al.
Publicado: (2025)
por: Meng, Zeyuan, et al.
Publicado: (2025)
InRanker: Distilled Rankers for Zero-shot Information Retrieval
por: Laitz, Thiago, et al.
Publicado: (2024)
por: Laitz, Thiago, et al.
Publicado: (2024)
LLM as Explainable Re-Ranker for Recommendation System
por: Wang, Yaqi, et al.
Publicado: (2025)
por: Wang, Yaqi, et al.
Publicado: (2025)
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery
por: Yao, Yuxuan, et al.
Publicado: (2024)
por: Yao, Yuxuan, et al.
Publicado: (2024)
R1-Ranker: Teaching LLM Rankers to Reason
por: Feng, Tao, et al.
Publicado: (2025)
por: Feng, Tao, et al.
Publicado: (2025)
Evaluating the Explainability of Neural Rankers
por: Pandian, Saran, et al.
Publicado: (2024)
por: Pandian, Saran, et al.
Publicado: (2024)
RecLM: Recommendation Instruction Tuning
por: Jiang, Yangqin, et al.
Publicado: (2024)
por: Jiang, Yangqin, et al.
Publicado: (2024)
LRanker: LLM Ranker for Massive Candidates
por: Feng, Tao, et al.
Publicado: (2026)
por: Feng, Tao, et al.
Publicado: (2026)
Large Language Models are Zero-Shot Rankers for Recommender Systems
por: Hou, Yupeng, et al.
Publicado: (2023)
por: Hou, Yupeng, et al.
Publicado: (2023)
OneRanker: Unified Generation and Ranking with One Model in Industrial Advertising Recommendation
por: Sun, Dekai, et al.
Publicado: (2026)
por: Sun, Dekai, et al.
Publicado: (2026)
The Surprising Effectiveness of Rankers Trained on Expanded Queries
por: Anand, Abhijit, et al.
Publicado: (2024)
por: Anand, Abhijit, et al.
Publicado: (2024)
Privacy in LLM-based Recommendation: Recent Advances and Future Directions
por: Luo, Sichun, et al.
Publicado: (2024)
por: Luo, Sichun, et al.
Publicado: (2024)
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
por: Guo, Fang, et al.
Publicado: (2024)
por: Guo, Fang, et al.
Publicado: (2024)
Re-Rankers as Relevance Judges
por: Meng, Chuan, et al.
Publicado: (2026)
por: Meng, Chuan, et al.
Publicado: (2026)
Guiding Retrieval using LLM-based Listwise Rankers
por: Rathee, Mandeep, et al.
Publicado: (2025)
por: Rathee, Mandeep, et al.
Publicado: (2025)
Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers
por: van Marken, Cile, et al.
Publicado: (2025)
por: van Marken, Cile, et al.
Publicado: (2025)
When More Reformulations Hurt: Avoiding Drift using Ranker Feedback
por: Venktesh, V, et al.
Publicado: (2026)
por: Venktesh, V, et al.
Publicado: (2026)
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
por: Sun, Shuoqi, et al.
Publicado: (2024)
por: Sun, Shuoqi, et al.
Publicado: (2024)
Make Large Language Model a Better Ranker
por: Chao, Wen-Shuo, et al.
Publicado: (2024)
por: Chao, Wen-Shuo, et al.
Publicado: (2024)
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems
por: Xiao, Qiang Charles, et al.
Publicado: (2024)
por: Xiao, Qiang Charles, et al.
Publicado: (2024)
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
por: Yang, Chenyang, et al.
Publicado: (2024)
por: Yang, Chenyang, et al.
Publicado: (2024)
HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers
por: Santra, Payel, et al.
Publicado: (2025)
por: Santra, Payel, et al.
Publicado: (2025)
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
por: Li, Minghan, et al.
Publicado: (2023)
por: Li, Minghan, et al.
Publicado: (2023)
ListConRanker: A Contrastive Text Reranker with Listwise Encoding
por: Liu, Junlong, et al.
Publicado: (2025)
por: Liu, Junlong, et al.
Publicado: (2025)
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
por: Chen, Shijie, et al.
Publicado: (2024)
por: Chen, Shijie, et al.
Publicado: (2024)
RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
por: Luo, Sichun, et al.
Publicado: (2025)
por: Luo, Sichun, et al.
Publicado: (2025)
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs
por: Yu, Puxuan, et al.
Publicado: (2024)
por: Yu, Puxuan, et al.
Publicado: (2024)
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
por: Boytsov, Leonid, et al.
Publicado: (2023)
por: Boytsov, Leonid, et al.
Publicado: (2023)
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
por: Qin, Zhen, et al.
Publicado: (2023)
por: Qin, Zhen, et al.
Publicado: (2023)
RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
por: Xu, Jian, et al.
Publicado: (2025)
por: Xu, Jian, et al.
Publicado: (2025)
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
por: Wang, Yuan, et al.
Publicado: (2024)
por: Wang, Yuan, et al.
Publicado: (2024)
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation
por: Chandradevan, Ramraj, et al.
Publicado: (2024)
por: Chandradevan, Ramraj, et al.
Publicado: (2024)
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
por: Zhuang, Honglei, et al.
Publicado: (2023)
por: Zhuang, Honglei, et al.
Publicado: (2023)
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
por: Xing, Tiancheng, et al.
Publicado: (2025)
por: Xing, Tiancheng, et al.
Publicado: (2025)
ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
por: Ferraretto, Fernando, et al.
Publicado: (2024)
por: Ferraretto, Fernando, et al.
Publicado: (2024)
Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation
por: Balog, Krisztian, et al.
Publicado: (2025)
por: Balog, Krisztian, et al.
Publicado: (2025)
TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs
por: Cipollone, Daniele, et al.
Publicado: (2025)
por: Cipollone, Daniele, et al.
Publicado: (2025)
Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search
por: Guo, Zihao, et al.
Publicado: (2026)
por: Guo, Zihao, et al.
Publicado: (2026)
Linear-PAL: A Lightweight Ranker for Mitigating Shortcut Learning in Personalized, High-Bias Tabular Ranking
por: Pawar, Vipul Dinesh
Publicado: (2025)
por: Pawar, Vipul Dinesh
Publicado: (2025)
Ejemplares similares
-
Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation
por: Luo, Sichun, et al.
Publicado: (2024) -
RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation
por: Meng, Zeyuan, et al.
Publicado: (2025) -
InRanker: Distilled Rankers for Zero-shot Information Retrieval
por: Laitz, Thiago, et al.
Publicado: (2024) -
LLM as Explainable Re-Ranker for Recommendation System
por: Wang, Yaqi, et al.
Publicado: (2025) -
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery
por: Yao, Yuxuan, et al.
Publicado: (2024)