Jing Ma

Venues

Frequent coauthors

Papers

1. Explaining the 'Unexplainable' Large Language Models
   WSDM 2026 ·

   Zhen Tan

   DBLP profile ↗ORCID search ↗
2. Ranking Reasoning LLMs under Test-Time Scaling
   ACL 2026 ·

   Mohsen Hariri

   DBLP profile ↗ORCID search ↗
3. Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
   ICLR 2025 ·

   Yaochen Zhu

   DBLP profile ↗ORCID search ↗
4. Causal Inference with Large Language Model: A Survey
   NAACL 2025 · Jing Ma
5. CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
   ACL 2025 ·

   Nengbo Wang

   DBLP profile ↗ORCID search ↗
6. Certified Causal Defense with Generalizable Robustness
   AAAI 2025 ·

   Yiran Qiao

   DBLP profile ↗ORCID search ↗
7. Fairness-Aware Graph Learning: A Benchmark
   SIGKDD 2025 ·

   Yushun Dong

   DBLP profile ↗ORCID search ↗
8. GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design
   NAACL 2025 ·

   Yuanfu Sun

   DBLP profile ↗ORCID search ↗
9. Invariant Shape Representation Learning for Image Classification
   WACV 2025 ·

   Tonmoy Hossain

   DBLP profile ↗ORCID search ↗
10. Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting
    NeurIPS 2025 ·

    Yiren Lu

    DBLP profile ↗ORCID search ↗
11. Causal Inference with Latent Variables: Recent Advances and Future Prospectives
    SIGKDD 2024 ·

    Yaochen Zhu

    DBLP profile ↗ORCID search ↗
12. Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
    NeurIPS 2024 ·

    Zhe Hu

    DBLP profile ↗ORCID search ↗
13. GNNs Also Deserve Editing, and They Need It More Than Once
    ICML 2024 ·

    Shaochen (Henry) Zhong

    DBLP profile ↗ORCID search ↗
14. PyGDebias: A Python Library for Debiasing in Graph Learning
    WWW 2024 ·

    Yushun Dong

    DBLP profile ↗ORCID search ↗
15. View-consistent Object Removal in Radiance Fields
    ACM MM 2024 ·

    Yiren Lu

    DBLP profile ↗ORCID search ↗