Cover Image

Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Long, Kehan, Li, Shasha, Xu, Chen, Tang, Jintao, Wang, Ting
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines
by: Long, Kehan, et al.
Published: (2024)

Personalized Education with Ranking Alignment Recommendation
by: Liu, Haipeng, et al.
Published: (2025)

AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
by: Li, Lei, et al.
Published: (2024)

Zero-Shot Topic Classification of Column Headers: Leveraging LLMs for Metadata Enrichment
by: Martorana, Margherita, et al.
Published: (2024)

Are LLMs Truly Multilingual? Exploring Zero-Shot Multilingual Capability of LLMs for Information Retrieval: An Italian Healthcare Use Case
by: Kembu, Vignesh Kumar, et al.
Published: (2025)

HyQE: Ranking Contexts with Hypothetical Query Embeddings
by: Zhou, Weichao, et al.
Published: (2024)

SAGE: A Framework of Precise Retrieval for RAG
by: Zhang, Jintao, et al.
Published: (2025)

Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning
by: Li, Wenyao, et al.
Published: (2025)

SCARV: Structure-Constrained Aggregation for Stable Sample Ranking in Redundant NLP Datasets
by: Zheng, Xu, et al.
Published: (2026)

AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems
by: Ma, Bo, et al.
Published: (2025)

LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation
by: Li, Yunzhe, et al.
Published: (2025)

CoNRec: Context-Discerning Negative Recommendation with LLMs
by: Chen, Xinda, et al.
Published: (2026)

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
by: Feng, Shanshan, et al.
Published: (2024)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
by: Dai, Sunhao, et al.
Published: (2025)

RLPO: Residual Listwise Preference Optimization for Long-Context Review Ranking
by: Jiang, Hao, et al.
Published: (2026)

Zero-Shot Retrieval for Scalable Visual Search in a Two-Sided Marketplace
by: Rusli, Andre, et al.
Published: (2025)

BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language
by: Wojtasik, Konrad, et al.
Published: (2023)

Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanism
by: Tang, Yimin, et al.
Published: (2024)

A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
by: Zhuang, Shengyao, et al.
Published: (2023)

Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval
by: Hwang, Dae Yon, et al.
Published: (2024)

Using LLMs to Capture Users' Temporal Context for Recommendation
by: Sabouri, Milad, et al.
Published: (2025)

HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST
by: Zhang, Shuyu, et al.
Published: (2025)

SUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs
by: Kumar, Nitish, et al.
Published: (2026)

Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
by: Lukasik, Michal, et al.
Published: (2025)

IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios
by: Lin, Hai, et al.
Published: (2024)

ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models
by: Ma, Bo, et al.
Published: (2025)

From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model
by: Ju, Yeong-Joon, et al.
Published: (2025)

Whole Page Unbiased Learning to Rank
by: Mao, Haitao, et al.
Published: (2022)

Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization
by: Wang, Pancheng, et al.
Published: (2024)

Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
by: Liu, Ye, et al.
Published: (2023)

Interpretable Triplet Importance for Personalized Ranking
by: He, Bowei, et al.
Published: (2024)

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)

LLMs Need Encoders for Semantic IDs Too
by: Chen, Xiangyi, et al.
Published: (2026)

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering
by: Sawarkar, Kunal, et al.
Published: (2025)

Zero-Shot Warning Generation for Misinformative Multimodal Content
by: Delvecchio, Giovanni Pio, et al.
Published: (2025)

DenoiseRank: Learning to Rank by Diffusion Models
by: Wang, Ying, et al.
Published: (2026)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
by: Jia, Pengyue, et al.
Published: (2023)

Long Context Modeling with Ranked Memory-Augmented Retrieval
by: Alselwi, Ghadir, et al.
Published: (2025)

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs
by: Long, Meixiu, et al.
Published: (2025)