PPaperPicks

Hui Liu

Amazon, Palo Alto, CA, USA

19 papers at tracked venues · 13 at CORE A* · active 20252026

Venues

Frequent coauthors

Papers

  1. A Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning
  2. Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization
  3. Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models
  4. Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
  5. A General Framework to Enhance Fine-tuning-based LLM Unlearning
  6. A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness
  7. AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
  8. Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
  9. Catastrophic Failure of LLM Unlearning via Quantization
  10. Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
  11. EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association
  12. Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce
  13. Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
  14. Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
  15. SUA: Stealthy Multimodal Large Language Model Unlearning Attack
  16. SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
  17. Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
  18. Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
  19. ViLBench: A Suite for Vision-Language Process Reward Modeling