PPaperPicks

Qinggang Zhang

21 papers at tracked venues · 20 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation
  2. BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search
  3. Beyond Black-Box Interventions: Latent Probing for Faithful Retrieval-Augmented Generation
  4. Bridging the Topology-Semantic Gap: A Benchmark and Framework for Power Grid Work Ticket Generation
  5. Facilitating Generative Retrieval with Logical Denoising for Interpretable Conversational Search
  6. Knapsack Optimization-Based Schema Linking for LLM-Based Text-to-SQL Generation
  7. LLM Collaborative Filtering: User-Item Graph as New Language
  8. LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
  9. LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval
  10. LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation
  11. You Don't Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures
  12. Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning
  13. FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
    ACL 2025 · Qinggang Zhang
  14. NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
  15. Structure-Guided Large Language Models for Text-to-SQL Generation
    ICML 2025 · Qinggang Zhang
  16. Cost-efficient Knowledge-based Question Answering with Large Language Models
  17. Entity Alignment with Noisy Annotations from Large Language Models
  18. KnowGPT: Knowledge Graph based Prompting for Large Language Models
    NeurIPS 2024 · Qinggang Zhang
  19. Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM
  20. Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
    SIGKDD 2024 · Qinggang Zhang
  21. Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering