Copertina

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Wenhan, Zhu, Yutao, Dou, Zhicheng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
di: Liu, Wenhan, et al.
Pubblicazione: (2024)

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

Large Language Models for Information Retrieval: A Survey
di: Zhu, Yutao, et al.
Pubblicazione: (2023)

Agentic-R: Learning to Retrieve for Agentic Search
di: Liu, Wenhan, et al.
Pubblicazione: (2026)

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

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
di: Zhu, Yutao, et al.
Pubblicazione: (2024)

DiffuRank: Effective Document Reranking with Diffusion Language Models
di: Liu, Qi, et al.
Pubblicazione: (2026)

CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks
di: Li, Xiaoxi, et al.
Pubblicazione: (2024)

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

Query-oriented Data Augmentation for Session Search
di: Chen, Haonan, et al.
Pubblicazione: (2024)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
di: Qin, Zhen, et al.
Pubblicazione: (2023)

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

Metacognitive Retrieval-Augmented Large Language Models
di: Zhou, Yujia, et al.
Pubblicazione: (2024)

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
di: Zhou, Yujia, et al.
Pubblicazione: (2024)

Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
di: Ye, Dezhi, et al.
Pubblicazione: (2024)

Multi-Layer Ranking with Large Language Models for News Source Recommendation
di: Zhang, Wenjia, et al.
Pubblicazione: (2024)

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking
di: Liu, Qi, et al.
Pubblicazione: (2025)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
di: Mao, Kelong, et al.
Pubblicazione: (2024)

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
di: Wang, Yuan, et al.
Pubblicazione: (2024)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
di: Sun, Weiwei, et al.
Pubblicazione: (2023)

Search-o1: Agentic Search-Enhanced Large Reasoning Models
di: Li, Xiaoxi, et al.
Pubblicazione: (2025)

LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
di: Jin, Jiajie, et al.
Pubblicazione: (2026)

WebThinker: Empowering Large Reasoning Models with Deep Research Capability
di: Li, Xiaoxi, et al.
Pubblicazione: (2025)

Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
di: Salemi, Alireza, et al.
Pubblicazione: (2024)

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

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
di: Wang, Shuting, et al.
Pubblicazione: (2024)

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

ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking
di: Li, Xianming, et al.
Pubblicazione: (2025)

Grounding Language Model with Chunking-Free In-Context Retrieval
di: Qian, Hongjin, et al.
Pubblicazione: (2024)

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
di: Deng, Chenlong, et al.
Pubblicazione: (2024)

From Matching to Generation: A Survey on Generative Information Retrieval
di: Li, Xiaoxi, et al.
Pubblicazione: (2024)

Little Giants: Synthesizing High-Quality Embedding Data at Scale
di: Chen, Haonan, et al.
Pubblicazione: (2024)

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
di: Sinhababu, Nilanjan, et al.
Pubblicazione: (2024)

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

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

A Survey of Conversational Search
di: Mo, Fengran, et al.
Pubblicazione: (2024)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
di: Jin, Jiajie, et al.
Pubblicazione: (2024)

Adversarial Attacks against Neural Ranking Models via In-Context Learning
di: Bigdeli, Amin, et al.
Pubblicazione: (2025)

Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models
di: Bigdeli, Amin, et al.
Pubblicazione: (2026)