RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
Paper
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2006.15498
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Published
Jiaxin Mao
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AI & ML interests
Infromation retrieval, Dense Retrieval, LLM ranking
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about 18 hours ago
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
authored
a paper
about 18 hours ago
Optimizing Dense Retrieval Model Training with Hard Negatives
authored
a paper
about 18 hours ago
Interacting with Non-Cooperative User: A New Paradigm for Proactive
Dialogue Policy
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authored
13
papers
about 18 hours ago
Optimizing Dense Retrieval Model Training with Hard Negatives
Paper
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2104.08051
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Published
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy
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2204.07433
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Published
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
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2204.11447
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Published
YuLan: An Open-source Large Language Model
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2406.19853
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Published
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2
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
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2406.14848
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Published
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3
Towards Effective and Efficient Continual Pre-training of Large Language Models
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2407.18743
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Published
Evaluating Intelligence via Trial and Error
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2502.18858
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Published
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4
WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
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2507.17634
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2
$\text{E}^2\text{Rank}$: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
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2510.22733
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Published
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32
Deep Research: A Systematic Survey
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2512.02038
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Published
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70
CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms
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2510.10095
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Published
Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search
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2601.04703
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Published
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1