Imagen de Portada

Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Peng, Zhiyuan, Wei, Ting-ruen, Song, Tingyu, Zhao, Yilun
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MemRerank: Preference Memory for Personalized Product Reranking
por: Peng, Zhiyuan, et al.
Publicado: (2026)

Active Learners as Efficient PRP Rerankers
por: Paschmann, Jeremías Figueiredo, et al.
Publicado: (2026)

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
por: Chen, Zhanpeng, et al.
Publicado: (2024)

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
por: Peng, Zhiyuan, et al.
Publicado: (2024)

Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking
por: Wang, Chen, et al.
Publicado: (2025)

Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP
por: Chen, Ziyi, et al.
Publicado: (2023)

Don't Forget to Connect! Improving RAG with Graph-based Reranking
por: Dong, Jialin, et al.
Publicado: (2024)

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
por: Jedidi, Nour, et al.
Publicado: (2025)

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
por: Li, Yaoyiran, et al.
Publicado: (2022)

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
por: Yoon, Soyoung, et al.
Publicado: (2025)

QCG-Rerank: Chunks Graph Rerank with Query Expansion in Retrieval-Augmented LLMs for Tourism Domain
por: Wei, Qikai, et al.
Publicado: (2024)

SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs
por: Chen, Haotian, et al.
Publicado: (2025)

Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes
por: Setlur, Amrith, et al.
Publicado: (2026)

BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs
por: Aarab, Ilias
Publicado: (2026)

Survey on Evaluation of LLM-based Agents
por: Yehudai, Asaf, et al.
Publicado: (2025)

LimRank: Less is More for Reasoning-Intensive Information Reranking
por: Song, Tingyu, et al.
Publicado: (2025)

Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision
por: Peshevski, Dimitar, et al.
Publicado: (2025)

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
por: Xu, Haike, et al.
Publicado: (2025)

EfficientLLM: Efficiency in Large Language Models
por: Yuan, Zhengqing, et al.
Publicado: (2025)

LLM-Confidence Reranker: A Training-Free Approach for Enhancing Retrieval-Augmented Generation Systems
por: Song, Zhipeng, et al.
Publicado: (2026)

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

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
por: Wu, Yuhang, et al.
Publicado: (2026)

DeGRe: Dense-supervised Generative Reranking for Recommendation
por: Song, Chaotian, et al.
Publicado: (2026)

Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
por: Zhao, Minda, et al.
Publicado: (2026)

Multimodal Reranking for Knowledge-Intensive Visual Question Answering
por: Wen, Haoyang, et al.
Publicado: (2024)

CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation
por: Song, Zhipeng, et al.
Publicado: (2026)

OSCAR: Online Soft Compression And Reranking
por: Louis, Maxime, et al.
Publicado: (2025)

Diagnosing LLM Reranker Behavior Under Fixed Evidence Pools
por: Arat, Baris, et al.
Publicado: (2026)

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024)

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
por: Hu, Zhiyuan, et al.
Publicado: (2024)

Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models
por: Lv, Xingtai, et al.
Publicado: (2025)

On Designing Effective RL Reward at Training Time for LLM Reasoning
por: Gao, Jiaxuan, et al.
Publicado: (2024)

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing
por: Qiu, Zijie, et al.
Publicado: (2025)

Reasoning with Sampling: Your Base Model is Smarter Than You Think
por: Karan, Aayush, et al.
Publicado: (2025)

Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
por: Xiong, Weimin, et al.
Publicado: (2024)

Scaling Text2SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers
por: Hoang, Thanh Dat, et al.
Publicado: (2025)

RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents
por: Dai, Zijie, et al.
Publicado: (2026)

On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization
por: Singh, Janvijay, et al.
Publicado: (2025)

Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening
por: Wang, Xin, et al.
Publicado: (2025)

Less is More for RAG: Information Gain Pruning for Generator-Aligned Reranking and Evidence Selection
por: Song, Zhipeng, et al.
Publicado: (2026)