PPaperPicks

Chengjin Xu

21 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. BAG: Benchmarking Anomaly Detection on Dynamic Graphs
  2. Conflicts Make Large Reasoning Models Vulnerable to Attacks
  3. Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
  4. DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis
  5. Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
  6. JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation
  7. Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
  8. ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
  9. ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
  10. Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
  11. Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
  12. LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
  13. Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
  14. SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
  15. Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
  16. VLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
  17. Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
  18. MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment
  19. Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
  20. Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets
  21. Unlocking the Power of Large Language Models for Entity Alignment