Imagen de Portada

When Fine-Tuning Fails: Lessons from MS MARCO Passage Ranking

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Pande, Manu, Kumar, Shahil, Damle, Anay Yatin
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT
por: Kumar, Shahil, et al.
Publicado: (2025)

Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models
por: Basem, Mohamed, et al.
Publicado: (2024)

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
por: Wu, Xuyang, et al.
Publicado: (2024)

Improve Dense Passage Retrieval with Entailment Tuning
por: Dai, Lu, et al.
Publicado: (2024)

Dense Passage Retrieval: Is it Retrieving?
por: Reichman, Benjamin, et al.
Publicado: (2024)

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
por: Liu, Wenhan, et al.
Publicado: (2025)

The Distracting Effect: Understanding Irrelevant Passages in RAG
por: Amiraz, Chen, et al.
Publicado: (2025)

Cohort Retrieval using Dense Passage Retrieval
por: Jadhav, Pranav
Publicado: (2025)

Passage Segmentation of Documents for Extractive Question Answering
por: Liu, Zuhong, et al.
Publicado: (2025)

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
por: Knappich, Valentin, et al.
Publicado: (2026)

DAPR: A Benchmark on Document-Aware Passage Retrieval
por: Wang, Kexin, et al.
Publicado: (2023)

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
por: Liu, Qi, et al.
Publicado: (2024)

Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering
por: Rybak, Piotr, et al.
Publicado: (2023)

InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models
por: Huang, Chao-Wei, et al.
Publicado: (2024)

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking
por: Cai, Yuzheng, et al.
Publicado: (2025)

TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)

GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?
por: Fazili, Barah, et al.
Publicado: (2024)

Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval
por: Ma, Guangyuan, et al.
Publicado: (2024)

Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning
por: Badhe, Sanket, et al.
Publicado: (2026)

CoRanking: Collaborative Ranking with Small and Large Ranking Agents
por: Liu, Wenhan, et al.
Publicado: (2025)

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
por: Weller, Orion, et al.
Publicado: (2023)

REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models
por: Gupta, Ambuje, et al.
Publicado: (2024)

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

Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization
por: Mullick, Ankan, et al.
Publicado: (2024)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
por: Liu, Wenhan, et al.
Publicado: (2024)

Spectral Tempering for Embedding Compression in Dense Passage Retrieval
por: Li, Yongkang, et al.
Publicado: (2026)

Domain Fine-Tuning vs. Retrieval-Augmented Generation for Medical Multiple-Choice Question Answering: A Controlled Comparison at the 4B-Parameter Scale
por: Buskila, Avi-ad Avraam
Publicado: (2026)

Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models
por: Nouriinanloo, Baharan, et al.
Publicado: (2024)

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

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors
por: Thakur, Himanshu, et al.
Publicado: (2025)

Shifting from Ranking to Set Selection for Retrieval Augmented Generation
por: Lee, Dahyun, et al.
Publicado: (2025)

LTRR: Learning To Rank Retrievers for LLMs
por: Kim, To Eun, et al.
Publicado: (2025)

The Role of Vocabularies in Learning Sparse Representations for Ranking
por: Kim, Hiun, et al.
Publicado: (2025)

Generative Pseudo-Labeling for Pre-Ranking with LLMs
por: Bi, Junyu, et al.
Publicado: (2026)

GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
por: Clemedtson, Alfred, et al.
Publicado: (2025)

Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
por: Susnjak, Teo, et al.
Publicado: (2024)

Rank-K: Test-Time Reasoning for Listwise Reranking
por: Yang, Eugene, et al.
Publicado: (2025)

CRAWLDoc: A Dataset for Robust Ranking of Bibliographic Documents
por: Karl, Fabian, et al.
Publicado: (2025)

LEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval
por: Ahmadi, Narges Baba, et al.
Publicado: (2026)

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