Cover Image

Streamlining Conformal Information Retrieval via Score Refinement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Intrator, Yotam, Kelner, Ori, Cohen, Regev, Goldenberg, Roman, Rivlin, Ehud, Freedman, Daniel
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
by: Cohen, Regev, et al.
Published: (2024)

Temporal Information Retrieval via Time-Specifier Model Merging
by: Han, SeungYoon, et al.
Published: (2025)

Revisiting RAG Retrievers: An Information Theoretic Benchmark
by: Zheng, Wenqing, et al.
Published: (2026)

Superintelligent Retrieval Agent: The Next Frontier of Information Retrieval
by: Yang, Zeyu, et al.
Published: (2026)

Not All Queries Need Rewriting: When Prompt-Only LLM Refinement Helps and Hurts Dense Retrieval
by: Kotte, Varun
Published: (2026)

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

Advancing Vietnamese Information Retrieval with Learning Objective and Benchmark
by: Nguyen, Phu-Vinh, et al.
Published: (2025)

Aligning Dense Retrievers with LLM Utility via Distillation
by: Sandhu, Rajinder, et al.
Published: (2026)

IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
by: Ma, Fengbo, et al.
Published: (2026)

BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation
by: Tsirigotis, Christos, et al.
Published: (2025)

Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022)

Semantic Retrieval at Walmart
by: Magnani, Alessandro, et al.
Published: (2024)

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
by: Yuan, Kai, et al.
Published: (2026)

Optimizing Compound Retrieval Systems
by: Oosterhuis, Harrie, et al.
Published: (2025)

When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL
by: Wang, Youting, et al.
Published: (2026)

AIRwaves at CheckThat! 2025: Retrieving Scientific Sources for Implicit Claims on Social Media with Dual Encoders and Neural Re-Ranking
by: Ashbaugh, Cem, et al.
Published: (2025)

Learning Retrieval Models with Sparse Autoencoders
by: Formal, Thibault, et al.
Published: (2026)

Scaling Laws for Online Advertisement Retrieval
by: Wang, Yunli, et al.
Published: (2024)

IR2: Information Regularization for Information Retrieval
by: Wang, Jianyou, et al.
Published: (2024)

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2025)

Preference Discerning with LLM-Enhanced Generative Retrieval
by: Paischer, Fabian, et al.
Published: (2024)

Your Dense Retriever is Secretly an Expeditious Reasoner
by: Zhang, Yichi, et al.
Published: (2025)

KuaiFormer: Transformer-Based Retrieval at Kuaishou
by: Liu, Chi, et al.
Published: (2024)

Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
by: Chaturvedi, Sarthak, et al.
Published: (2025)

Improving Neural Retrieval with Attribution-Guided Query Rewriting
by: Garouani, Moncef, et al.
Published: (2026)

Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
by: Klearman, Andrew, et al.
Published: (2026)

LARGER: Lexically Anchored Repository Graph Exploration and Retrieval
by: Hu, Yuntong, et al.
Published: (2026)

Test-time Corpus Feedback: From Retrieval to RAG
by: Rathee, Mandeep, et al.
Published: (2025)

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

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
by: Qiu, Yifu, et al.
Published: (2025)

Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
by: Zhao, Ziwen, et al.
Published: (2026)

Test-Time Training for Zero-Resource Dense Retrieval Reranking
by: Liu, Shiyan, et al.
Published: (2026)

Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
by: Portes, Jacob, et al.
Published: (2025)

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
by: Polonuer, Joaquín, et al.
Published: (2026)

AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
by: Wang, Yubo, et al.
Published: (2025)

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
by: Hadad, Guy, et al.
Published: (2025)

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
by: Li, Zihao, et al.
Published: (2024)

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
by: Hsu, Hung-Chun, et al.
Published: (2025)

PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation
by: Khaledian, Arman, et al.
Published: (2025)

Multi-Group Proportional Representation in Retrieval
by: Oesterling, Alex, et al.
Published: (2024)