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Menghui Zhu

Identifiers

  • name variant Menghui Zhu 0.60 · backfill

Papers (18)

  1. DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cs.CV · 2026 · author #2
  2. Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cs.IR · 2026 · author #2
  3. MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models cs.IR · 2025 · author #4
  4. Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cs.CL · 2025 · author #2
  5. InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation cs.IR · 2025 · author #3
  6. LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models cs.IR · 2025 · author #5
  7. An Automatic Graph Construction Framework based on Large Language Models for Recommendation cs.IR · 2024 · author #5
  8. AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising cs.IR · 2024 · author #4
  9. Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding cs.IR · 2024 · author #5
  10. FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the Past cs.IR · 2024 · author #4
  11. Retrieval-Oriented Knowledge for Click-Through Rate Prediction cs.IR · 2024 · author #3
  12. Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation cs.IR · 2023 · author #3
  13. Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation cs.IR · 2023 · author #8
  14. Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents cs.AI · 2022 · author #3
  15. Generative Adversarial Exploration for Reinforcement Learning cs.LG · 2022 · author #2
  16. Goal-Conditioned Reinforcement Learning: Problems and Solutions cs.AI · 2022 · author #2
  17. MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks cs.AI · 2021 · author #1
  18. Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search cs.AI · 2020 · author #2

Mentions

  • 2507.00487 #4 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2412.18241 #5 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2506.11102 #2 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2505.15872 #3 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2502.13481 #5 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2408.05676 #5 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2406.00012 #4 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2404.18304 #3 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2408.07907 #4 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2309.02061 #3 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2306.04234 #8 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2212.09033 #3 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2201.08299 #2 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2201.11685 #2 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2012.10171 #2 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2105.06350 #1 · arxiv_oai · confidence 0.70 Menghui Zhu
  • 2605.30027 #2 · arxiv_oai · confidence 0.70 Menghui Zhu

Frequent Coauthors