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Ponnurangam Kumaraguru

14 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

ICML ×4ACL ×3EMNLP ×3AAAI ×1NeurIPS ×1SIGKDD ×1WWW ×1

Frequent coauthors

Ishan Kavathekar
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Arvindh Arun
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Soham Petkar
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Varshita Kolipaka
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Seyedali Mohammadi
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Shashwat Goel
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Akshit Sinha
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Rahul Garg
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Ameya Prabhu
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Shashwat Singh
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Anmol Agarwal
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Nathaniel Li
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Papers

  1. A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models
    ACL 2026 ·
    Soham Petkar
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  2. TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems
    ACL 2026 ·
    Ishan Kavathekar
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  3. A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
    ICML 2025 ·
    Varshita Kolipaka
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  4. Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
    EMNLP 2025 ·
    Seyedali Mohammadi
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  5. Great Models Think Alike and this Undermines AI Oversight
    ICML 2025 ·
    Shashwat Goel
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  6. Higher Order Structures for Graph Explanations
    AAAI 2025 ·
    Akshit Sinha
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  7. Just KIDDIN' : Knowledge Infusion and Distillation for Detection of INdecent Memes
    ACL 2025 ·
    Rahul Garg
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  8. SEMMA: A Semantic Aware Knowledge Graph Foundation Model
    EMNLP 2025 ·
    Arvindh Arun
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  9. Topo Goes Political: TDA-Based Controversy Detection in Imbalanced Reddit Political Data
    WWW 2025 ·
    Arvindh Arun
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  10. Counter Turing Test (CT²): Investigating AI-Generated Text Detection for Hindi - Ranking LLMs based on Hindi AI Detectability Index (ADI_hi)
    EMNLP 2024 ·
    Ishan Kavathekar
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  11. RanDumb: Random Representations Outperform Online Continually Learned Representations
    NeurIPS 2024 ·
    Ameya Prabhu
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  12. Representation Surgery: Theory and Practice of Affine Steering
    ICML 2024 ·
    Shashwat Singh
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  13. Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale
    SIGKDD 2024 ·
    Anmol Agarwal
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  14. The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
    ICML 2024 ·
    Nathaniel Li
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