Jiaxin Mao
- Papers
- 14
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Authored papers
14Deep Research: A Systematic Survey
arXiv 2025
E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
arXiv 2025
Evaluating Intelligence via Trial and Error
arXiv 2025
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
arXiv 2025
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
arXiv 2025
Towards Effective and Efficient Continual Pre-training of Large Language Models
arXiv 2024
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
arXiv 2024
USimAgent: Large Language Models for Simulating Search Users
arXiv 2024
YuLan: An Open-source Large Language Model
arXiv 2024
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
arXiv 2022
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
arXiv 2021
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
arXiv 2021
Optimizing Dense Retrieval Model Training with Hard Negatives
arXiv 2021
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
arXiv 2020
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