Cover Image

RankPO: Preference Optimization for Job-Talent Matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yafei, Wang, Murray, Wang, Yu, Wang, Xiaohui
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Holistic Utility Preference Learning for Listwise Alignment
by: Zhou, Jiacong, et al.
Published: (2024)

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
by: Tang, Yiming, et al.
Published: (2025)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)

Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
by: Li, Jihang, et al.
Published: (2025)

OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
by: Qiang, Zhangcheng, et al.
Published: (2025)

MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction
by: Li, Guoyao, et al.
Published: (2025)

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

Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management
by: Gasco, Luis, et al.
Published: (2025)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
by: Zhang, Lingxi, et al.
Published: (2024)

Policy-Gradient Training of Language Models for Ranking
by: Gao, Ge, et al.
Published: (2023)

Agentic Entropy-Balanced Policy Optimization
by: Dong, Guanting, et al.
Published: (2025)

Personalized Benchmarking: Evaluating LLMs by Individual Preferences
by: Garbacea, Cristina, et al.
Published: (2026)

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

From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG
by: Lee, Changmin, et al.
Published: (2026)

Aligning LLM Agents by Learning Latent Preference from User Edits
by: Gao, Ge, et al.
Published: (2024)

OpenSanctions Pairs: Large-Scale Entity Matching with LLMs
by: Smith, Chandler, et al.
Published: (2026)

GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security
by: Liu, Xuanqing, et al.
Published: (2024)

RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment
by: Lu, Chenji, et al.
Published: (2025)

AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
by: Xu, Ran, et al.
Published: (2025)

IR2: Information Regularization for Information Retrieval
by: Wang, Jianyou, et al.
Published: (2024)

BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
by: Wang, Xiaoyue, et al.
Published: (2024)

Knowledge Conflicts for LLMs: A Survey
by: Xu, Rongwu, et al.
Published: (2024)

AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention Matching for Low-Resource languages
by: Raju, Joshua Sakthivel, et al.
Published: (2025)

Language is All a Graph Needs
by: Ye, Ruosong, et al.
Published: (2023)

Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data
by: Morishetti, Lalitesh, et al.
Published: (2025)

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
by: Fang, Haoyang, et al.
Published: (2026)

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

MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
by: MiroMind Team, et al.
Published: (2026)

Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion
by: Zhao, Dong, et al.
Published: (2025)

PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
by: Du, Haotong, et al.
Published: (2025)

Kwai Summary Attention Technical Report
by: Chu, Chenglong, et al.
Published: (2026)

Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework
by: Zhang, Zeyu, et al.
Published: (2025)

TableRAG: Million-Token Table Understanding with Language Models
by: Chen, Si-An, et al.
Published: (2024)

PEARL: Prototype-Enhanced Alignment for Label-Efficient Representation Learning with Deployment-Driven Insights from Digital Governance Communication Systems
by: Zhang, Ruiyu, et al.
Published: (2026)

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents
by: Zhu, Wenhui, et al.
Published: (2026)

Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
by: Eldifrawi, Islam, et al.
Published: (2024)

Explore BiLSTM-CRF-Based Models for Open Relation Extraction
by: Ni, Tao, et al.
Published: (2021)

TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
by: Zou, Henry Peng, et al.
Published: (2025)

Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
by: Xu, Ran, et al.
Published: (2025)