Copertina

Refine Thought: A Test-Time Inference Method for Embedding Model Reasoning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Guangzhi, Li, Kai, Jiao, Yinghao, Liu, Zhi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CRE-T1 Preview Technical Report: Beyond Contrastive Learning for Reasoning-Intensive Retrieval
di: Wang, Guangzhi, et al.
Pubblicazione: (2026)

Evaluating Chain-of-Thought Reasoning through Reusability and Verifiability
di: Aggarwal, Shashank, et al.
Pubblicazione: (2026)

From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
di: Wu, Wenhao, et al.
Pubblicazione: (2026)

PJB: A Reasoning-Aware Benchmark for Person-Job Retrieval
di: Wang, Guangzhi, et al.
Pubblicazione: (2026)

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
di: Yu, Haocheng, et al.
Pubblicazione: (2025)

Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning
di: Zhang, Tao, et al.
Pubblicazione: (2024)

Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications
di: Khanna, Sujit, et al.
Pubblicazione: (2024)

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models
di: Merrick, Luke, et al.
Pubblicazione: (2024)

Refining Wikidata Taxonomy using Large Language Models
di: Peng, Yiwen, et al.
Pubblicazione: (2024)

R$^2$ec: Towards Large Recommender Models with Reasoning
di: You, Runyang, et al.
Pubblicazione: (2025)

Refine Medical Diagnosis Using Generation Augmented Retrieval and Clinical Practice Guidelines
di: Li, Wenhao, et al.
Pubblicazione: (2025)

When Text Embedding Meets Large Language Model: A Comprehensive Survey
di: Nie, Zhijie, et al.
Pubblicazione: (2024)

Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models
di: Vijay, Supriti, et al.
Pubblicazione: (2025)

Quantifying Positional Biases in Text Embedding Models
di: Lee, Reagan J., et al.
Pubblicazione: (2024)

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
di: Xu, Shicheng, et al.
Pubblicazione: (2024)

Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering
di: Salemi, Alireza, et al.
Pubblicazione: (2025)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
di: Ma, Luyi, et al.
Pubblicazione: (2025)

Iterative Critique-Refine Framework for Enhancing LLM Personalization
di: Maram, Durga Prasad, et al.
Pubblicazione: (2025)

Training Sparse Mixture Of Experts Text Embedding Models
di: Nussbaum, Zach, et al.
Pubblicazione: (2025)

Length-Induced Embedding Collapse in PLM-based Models
di: Zhou, Yuqi, et al.
Pubblicazione: (2024)

DoTA-RAG: Dynamic of Thought Aggregation RAG
di: Ruangtanusak, Saksorn, et al.
Pubblicazione: (2025)

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision
di: Zhou, Ruiwen, et al.
Pubblicazione: (2024)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
di: Liang, Ke, et al.
Pubblicazione: (2022)

IndexRAG: Bridging Facts for Cross-Document Reasoning at Index Time
di: Bao, Zhenghua, et al.
Pubblicazione: (2026)

Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement
di: Sun, Chenkai, et al.
Pubblicazione: (2024)

Bagging-Based Model Merging for Robust General Text Embeddings
di: Zhang, Hengran, et al.
Pubblicazione: (2026)

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

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

E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
di: Liu, Qi, et al.
Pubblicazione: (2025)

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

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

C-Pack: Packed Resources For General Chinese Embeddings
di: Xiao, Shitao, et al.
Pubblicazione: (2023)

Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
di: Lan, Junwei, et al.
Pubblicazione: (2025)

An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education
di: Sajja, Ramteja, et al.
Pubblicazione: (2025)

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine
di: Dou, Chengfeng, et al.
Pubblicazione: (2025)

Reinforcement Learning Foundations for Deep Research Systems: A Survey
di: Li, Wenjun, et al.
Pubblicazione: (2025)

A Survey on Neural Topic Models: Methods, Applications, and Challenges
di: Wu, Xiaobao, et al.
Pubblicazione: (2024)

ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models
di: Barmettler, Joel, et al.
Pubblicazione: (2025)

One Model Is Enough: Native Retrieval Embeddings from LLM Agent Hidden States
di: Jiang, Bo
Pubblicazione: (2026)

TLEX: An Efficient Method for Extracting Exact Timelines from TimeML Temporal Graphs
di: Ocal, Mustafa, et al.
Pubblicazione: (2024)