LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Jingtong, Chen, Bo, Liu, Weiwen, Li, Xiangyang, Wang, Yichao, Wang, Wanyu, Guo, Huifeng, Tang, Ruiming, Zhao, Xiangyu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
by: Gao, Jingtong, et al.
Published: (2025)
by: Gao, Jingtong, et al.
Published: (2025)
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
Joint Modeling in Recommendations: A Survey
by: Zhao, Xiangyu, et al.
Published: (2025)
by: Zhao, Xiangyu, et al.
Published: (2025)
HAMUR: Hyper Adapter for Multi-Domain Recommendation
by: Li, Xiaopeng, et al.
Published: (2023)
by: Li, Xiaopeng, et al.
Published: (2023)
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
by: Chen, Bo, et al.
Published: (2024)
by: Chen, Bo, et al.
Published: (2024)
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-based Reranking
by: Li, Chuang, et al.
Published: (2025)
by: Li, Chuang, et al.
Published: (2025)
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)
by: Zhang, Wenlin, et al.
Published: (2024)
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
by: Fu, Zichuan, et al.
Published: (2023)
by: Fu, Zichuan, et al.
Published: (2023)
LLM-Enhanced Reranking for Complementary Product Recommendation
by: Xu, Zekun, et al.
Published: (2025)
by: Xu, Zekun, et al.
Published: (2025)
EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking
by: Li, Minghan, et al.
Published: (2024)
by: Li, Minghan, et al.
Published: (2024)
Denoising Neural Reranker for Recommender Systems
by: Mao, Wenyu, et al.
Published: (2025)
by: Mao, Wenyu, et al.
Published: (2025)
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
by: Zhang, Wenlin, et al.
Published: (2026)
by: Zhang, Wenlin, et al.
Published: (2026)
UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
by: Jia, Pengyue, et al.
Published: (2026)
by: Jia, Pengyue, et al.
Published: (2026)
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
LLM-based Listwise Reranking under the Effect of Positional Bias
by: Qiao, Jingfen, et al.
Published: (2026)
by: Qiao, Jingfen, et al.
Published: (2026)
LANCER: LLM Reranking for Nugget Coverage
by: Ju, Jia-Huei, et al.
Published: (2026)
by: Ju, Jia-Huei, et al.
Published: (2026)
Automating Personalization: Prompt Optimization for Recommendation Reranking
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
by: Abdallah, Abdelrahman, et al.
Published: (2025)
by: Abdallah, Abdelrahman, et al.
Published: (2025)
Prompt Tuning as User Inherent Profile Inference Machine
by: Lu, Yusheng, et al.
Published: (2024)
by: Lu, Yusheng, et al.
Published: (2024)
ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval
by: Zheng, Yuanhang, et al.
Published: (2024)
by: Zheng, Yuanhang, et al.
Published: (2024)
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
by: Xi, Yunjia, et al.
Published: (2024)
by: Xi, Yunjia, et al.
Published: (2024)
Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
by: Lemdiasova, Ekaterina, et al.
Published: (2026)
by: Lemdiasova, Ekaterina, et al.
Published: (2026)
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
by: Hou, Min, et al.
Published: (2025)
by: Hou, Min, et al.
Published: (2025)
Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan
by: Wang, Shuli, et al.
Published: (2026)
by: Wang, Shuli, et al.
Published: (2026)
RankLLM: A Python Package for Reranking with LLMs
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)
Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation
by: Cheng, Kai, et al.
Published: (2026)
by: Cheng, Kai, et al.
Published: (2026)
VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
by: Nguyen, Minh-Anh, et al.
Published: (2025)
by: Nguyen, Minh-Anh, et al.
Published: (2025)
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models
by: Tang, Ruiming, et al.
Published: (2025)
by: Tang, Ruiming, et al.
Published: (2025)
Gumbel Reranking: Differentiable End-to-End Reranker Optimization
by: Huang, Siyuan, et al.
Published: (2025)
by: Huang, Siyuan, et al.
Published: (2025)
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
Multimodal Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2023)
by: Liu, Qidong, et al.
Published: (2023)
A Survey of Personalization: From RAG to Agent
by: Li, Xiaopeng, et al.
Published: (2025)
by: Li, Xiaopeng, et al.
Published: (2025)
Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking
by: Huang, Jerry, et al.
Published: (2025)
by: Huang, Jerry, et al.
Published: (2025)
NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems
by: Wang, Shuli, et al.
Published: (2025)
by: Wang, Shuli, et al.
Published: (2025)
From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space
by: Jia, Pengyue, et al.
Published: (2026)
by: Jia, Pengyue, et al.
Published: (2026)
Non-autoregressive Generative Models for Reranking Recommendation
by: Ren, Yuxin, et al.
Published: (2024)
by: Ren, Yuxin, et al.
Published: (2024)
One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation
by: Bito, Ethan, et al.
Published: (2026)
by: Bito, Ethan, et al.
Published: (2026)
Similar Items
-
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
by: Gao, Jingtong, et al.
Published: (2025) -
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
by: Wang, Yuhao, et al.
Published: (2024) -
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
by: Li, Xiaopeng, et al.
Published: (2024) -
Joint Modeling in Recommendations: A Survey
by: Zhao, Xiangyu, et al.
Published: (2025) -
HAMUR: Hyper Adapter for Multi-Domain Recommendation
by: Li, Xiaopeng, et al.
Published: (2023)