:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Jianping, Qin, Han, Huber-Fliflet, Nathaniel
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval
Accesso online:	https://arxiv.org/abs/2512.08073
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Exploiting the Randomness of Large Language Models (LLM) in Text Classification Tasks: Locating Privileged Documents in Legal Matters
di: Huffman, Keith, et al.
Pubblicazione: (2025)

A Comparative Study of Retrieval Methods in Azure AI Search
di: Mao, Qiang, et al.
Pubblicazione: (2025)

Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery
di: Mao, Qiang, et al.
Pubblicazione: (2025)

Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes
di: Wei, Fusheng, et al.
Pubblicazione: (2025)

QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
di: Chatterjee, Shubham, et al.
Pubblicazione: (2025)

DREQ: Document Re-Ranking Using Entity-based Query Understanding
di: Chatterjee, Shubham, et al.
Pubblicazione: (2024)

Entities as Retrieval Signals: A Systematic Study of Coverage, Supervision, and Evaluation in Entity-Oriented Ranking
di: Chatterjee, Shubham
Pubblicazione: (2026)

Decoupled Entity Representation Learning for Pinterest Ads Ranking
di: Liu, Jie, et al.
Pubblicazione: (2025)

Rank4Gen: RAG-Preference-Aligned Document Set Selection and Ranking
di: Fan, Yongqi, et al.
Pubblicazione: (2026)

From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking
di: Zhu, Yilun, et al.
Pubblicazione: (2026)

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
di: Zhao, Yuhan, et al.
Pubblicazione: (2024)

Query Exposure Prediction for Groups of Documents in Rankings
di: Jaenich, Thomas, et al.
Pubblicazione: (2024)

BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination
di: Abdallah, Abdelrahman, et al.
Pubblicazione: (2026)

REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
di: Chatterjee, Shubham
Pubblicazione: (2025)

Weighted KL-Divergence for Document Ranking Model Refinement
di: Yang, Yingrui, et al.
Pubblicazione: (2024)

Leveraging Reference Documents for Zero-Shot Ranking via Large Language Models
di: Li, Jieran, et al.
Pubblicazione: (2025)

From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals
di: Liu, Ze, et al.
Pubblicazione: (2025)

A Trio Neural Model for Dynamic Entity Relatedness Ranking
di: Nguyen, Tu, et al.
Pubblicazione: (2018)

GoalRank: Group-Relative Optimization for a Large Ranking Model
di: Zhang, Kaike, et al.
Pubblicazione: (2025)

Detecting Future-related Contexts of Entity Mentions
di: Prashar, Puneet, et al.
Pubblicazione: (2025)

Business Entity Entropy
di: McCabe, Adam, et al.
Pubblicazione: (2025)

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation
di: Wu, Junru, et al.
Pubblicazione: (2025)

Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank
di: Liang, Zeyan, et al.
Pubblicazione: (2025)

Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks
di: Stoica, Ana-Andreea, et al.
Pubblicazione: (2024)

GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation
di: Zhang, Zhonghui, et al.
Pubblicazione: (2026)

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking
di: Shlyk, Darya, et al.
Pubblicazione: (2026)

Bridging Search and Recommendation through Latent Cross Reasoning
di: Shi, Teng, et al.
Pubblicazione: (2025)

Information Retrieval with Entity Linking
di: Shehata, Dahlia
Pubblicazione: (2024)

Wiki Entity Summarization Benchmark
di: Javadi, Saeedeh, et al.
Pubblicazione: (2024)

Cross-Modal Entity Matching for Visually Rich Documents
di: Sarkhel, Ritesh, et al.
Pubblicazione: (2023)

CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
di: Tian, Runchu, et al.
Pubblicazione: (2025)

REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
di: Wang, Pinhuan, et al.
Pubblicazione: (2025)

Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short
di: Lu, Xuan, et al.
Pubblicazione: (2025)

SumRank: Aligning Summarization Models for Long-Document Listwise Reranking
di: Feng, Jincheng, et al.
Pubblicazione: (2026)

Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
di: Yu, Shi, et al.
Pubblicazione: (2023)

Variational Bayesian Personalized Ranking
di: Liu, Bin, et al.
Pubblicazione: (2025)

RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of Transformers
di: Xu, Zhichao
Pubblicazione: (2024)

RankMixer: Scaling Up Ranking Models in Industrial Recommenders
di: Zhu, Jie, et al.
Pubblicazione: (2025)

Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent
di: Xu, Yi, et al.
Pubblicazione: (2025)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
di: Chen, Yiqun, et al.
Pubblicazione: (2024)