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Yongqi Li

Hong Kong Polytechnic University, Department of Computing, Hong Kong

35 papers at tracked venues · 31 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting
  2. Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning
  3. One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
  4. Parallel Test-Time Scaling for Latent Reasoning Models
  5. Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space
  6. Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize
  7. TEMA: Anchor the Image, Follow the Text for Multi-Modification Composed Image Retrieval
  8. TInR: Exploring Tool-Internalized Reasoning in Large Language Models
  9. Where and What: Reasoning Dynamic and Implicit Preferences in Situated Conversational Recommendation
  10. EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
  11. Efficient Inference for Large Language Model-based Generative Recommendation
  12. Exploring Training and Inference Scaling Laws in Generative Retrieval
  13. Interleaved-Modal Chain-of-Thought
  14. Large Language Models Empowered Personalized Web Agents
  15. MultiConIR: Towards Multi-Condition Information Retrieval
  16. PEToolLLM: Towards Personalized Tool Learning in Large Language Models
  17. R$2$ec: Towards Large Recommender Models with Reasoning
  18. Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation
    SIGIR 2025 · Yongqi Li
  19. SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data
  20. SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
  21. TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
  22. TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  23. Towards Harmless Multimodal Assistants with Blind Preference Optimization
    ACM MM 2025 · Yongqi Li
  24. Towards Text-Image Interleaved Retrieval
  25. Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
  26. Data-efficient Fine-tuning for LLM-based Recommendation
  27. Discriminative Probing and Tuning for Text-to-Image Generation
  28. Distillation Enhanced Generative Retrieval
    ACL 2024 · Yongqi Li
  29. Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
  30. Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond
    ACL 2024 · Yongqi Li
  31. GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
  32. Learnable Item Tokenization for Generative Recommendation
  33. Learning to Rank in Generative Retrieval
    AAAI 2024 · Yongqi Li
  34. Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
  35. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding