Mira-Embeddings-V1: Domain-Adapted Semantic Reranking for Recruitment via LLM-Synthesized Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Liang, Zhaohua, Wang, Zhilin, Cao, Renjie, Zhang, Yining |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Embedding-Based Context-Aware Reranker
por: Yuan, Ye, et al.
Publicado: (2025)
por: Yuan, Ye, et al.
Publicado: (2025)
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
por: Zhang, Yanzhao, et al.
Publicado: (2025)
por: Zhang, Yanzhao, 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)
por: Wei, Qikai, et al.
Publicado: (2024)
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers
por: Peng, Zhiyuan, et al.
Publicado: (2025)
por: Peng, Zhiyuan, et al.
Publicado: (2025)
Cross-Genre Authorship Attribution via LLM-Based Retrieve-and-Rerank
por: Agarwal, Shantanu, et al.
Publicado: (2025)
por: Agarwal, Shantanu, et al.
Publicado: (2025)
Little Giants: Synthesizing High-Quality Embedding Data at Scale
por: Chen, Haonan, et al.
Publicado: (2024)
por: Chen, Haonan, et al.
Publicado: (2024)
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline
por: Han, Donghoon, et al.
Publicado: (2024)
por: Han, Donghoon, et al.
Publicado: (2024)
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
por: Liu, Qi, et al.
Publicado: (2024)
por: Liu, Qi, et al.
Publicado: (2024)
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
por: Zhang, Yanxiang, et al.
Publicado: (2025)
por: Zhang, Yanxiang, et al.
Publicado: (2025)
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
por: Wu, Yuhang, et al.
Publicado: (2026)
por: Wu, Yuhang, et al.
Publicado: (2026)
Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision
por: Peshevski, Dimitar, et al.
Publicado: (2025)
por: Peshevski, Dimitar, et al.
Publicado: (2025)
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data
por: Gill, Waris, et al.
Publicado: (2025)
por: Gill, Waris, et al.
Publicado: (2025)
LLM Optimization Unlocks Real-Time Pairwise Reranking
por: Wu, Jingyu, et al.
Publicado: (2025)
por: Wu, Jingyu, et al.
Publicado: (2025)
MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
por: Li, Chunyu, et al.
Publicado: (2026)
por: Li, Chunyu, et al.
Publicado: (2026)
Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data
por: Zhang, Xuanming, et al.
Publicado: (2026)
por: Zhang, Xuanming, et al.
Publicado: (2026)
Semantic Reranking at Inference Time for Hard Examples in Rhetorical Role Labeling
por: Belfathi, Anas, et al.
Publicado: (2026)
por: Belfathi, Anas, et al.
Publicado: (2026)
NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance
por: Lee, Hanwool, et al.
Publicado: (2025)
por: Lee, Hanwool, et al.
Publicado: (2025)
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
por: Zhuang, Shengyao, et al.
Publicado: (2025)
por: Zhuang, Shengyao, et al.
Publicado: (2025)
$\text{R}^2\text{R}$: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers
por: Wang, Xinyu, et al.
Publicado: (2025)
por: Wang, Xinyu, et al.
Publicado: (2025)
Adapting Large Language Models to Domains via Reading Comprehension
por: Cheng, Daixuan, et al.
Publicado: (2023)
por: Cheng, Daixuan, et al.
Publicado: (2023)
Gumbel Reranking: Differentiable End-to-End Reranker Optimization
por: Huang, Siyuan, et al.
Publicado: (2025)
por: Huang, Siyuan, et al.
Publicado: (2025)
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
por: Zhang, Qiyuan, et al.
Publicado: (2024)
por: Zhang, Qiyuan, et al.
Publicado: (2024)
Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option
por: Yakovlev, Konstantin, et al.
Publicado: (2024)
por: Yakovlev, Konstantin, et al.
Publicado: (2024)
DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement Learning
por: Chen, Yicheng, et al.
Publicado: (2026)
por: Chen, Yicheng, et al.
Publicado: (2026)
DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)
Application of LLM Agents in Recruitment: A Novel Framework for Resume Screening
por: Gan, Chengguang, et al.
Publicado: (2024)
por: Gan, Chengguang, et al.
Publicado: (2024)
Adapting Multilingual Embedding Models to Historical Luxembourgish
por: Michail, Andrianos, et al.
Publicado: (2025)
por: Michail, Andrianos, et al.
Publicado: (2025)
Typologically-Informed Candidate Reranking for LLM-based Translation into Low-Resource Languages
por: Abeykoon, Nipuna, et al.
Publicado: (2026)
por: Abeykoon, Nipuna, et al.
Publicado: (2026)
On Data Engineering for Scaling LLM Terminal Capabilities
por: Pi, Renjie, et al.
Publicado: (2026)
por: Pi, Renjie, et al.
Publicado: (2026)
WildLong: Synthesizing Realistic Long-Context Instruction Data at Scale
por: Li, Jiaxi, et al.
Publicado: (2025)
por: Li, Jiaxi, et al.
Publicado: (2025)
AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering
por: Wang, Yuxin, et al.
Publicado: (2026)
por: Wang, Yuxin, et al.
Publicado: (2026)
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
por: Feng, Shangbin, et al.
Publicado: (2024)
por: Feng, Shangbin, et al.
Publicado: (2024)
MSLEF: Multi-Segment LLM Ensemble Finetuning in Recruitment
por: Walid, Omar, et al.
Publicado: (2025)
por: Walid, Omar, et al.
Publicado: (2025)
Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking
por: Dai, Ziqi, et al.
Publicado: (2025)
por: Dai, Ziqi, et al.
Publicado: (2025)
FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
por: Liang, Zhilin, et al.
Publicado: (2026)
por: Liang, Zhilin, et al.
Publicado: (2026)
Reranker Optimization via Geodesic Distances on k-NN Manifolds
por: Gong, Wen G.
Publicado: (2026)
por: Gong, Wen G.
Publicado: (2026)
SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs
por: Chen, Haotian, et al.
Publicado: (2025)
por: Chen, Haotian, et al.
Publicado: (2025)
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
por: Deng, Jingcheng, et al.
Publicado: (2025)
por: Deng, Jingcheng, et al.
Publicado: (2025)
Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales
por: Cao, Jun, et al.
Publicado: (2025)
por: Cao, Jun, et al.
Publicado: (2025)
Ejemplares similares
-
Embedding-Based Context-Aware Reranker
por: Yuan, Ye, et al.
Publicado: (2025) -
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
por: Zhang, Yanzhao, 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) -
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers
por: Peng, Zhiyuan, et al.
Publicado: (2025) -
Cross-Genre Authorship Attribution via LLM-Based Retrieve-and-Rerank
por: Agarwal, Shantanu, et al.
Publicado: (2025)