Papers by Anirudh Iyengar Kaniyar Narayana Iyengar
DIAGRAMS : A Review Framework for Reasoning-Level Attribution in Diagram QA (2026.acl-demo)
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Anirudh Iyengar Kaniyar Narayana Iyengar, Tampu Ravi Kumar, Manan Suri, Raviteja Bommireddy, Dinesh Manocha, Puneet Mathur, Vivek Gupta
| Challenge: | Diagram question answering (Diagram QA) requires reasoning-level attribution that links each question-answer pair to all visual regions needed to derive the answer. |
| Approach: | They propose a diagram question-answer review framework that decouples interface logic from dataset-specific JSON structures through an internal meta-schema and dataset adapters. |
| Outcome: | The proposed framework achieves 85.39% precision and 75.30% recall across six diagram QA datasets. |
TABARD: A Novel Benchmark for Tabular Anomaly Analysis, Reasoning and Detection (2025.findings-emnlp)
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Manan Roy Choudhury, Anirudh Iyengar Kaniyar Narayana Iyengar, Shikhhar Siingh, Sugeeth Puranam, Vivek Gupta
| Challenge: | a new benchmark is constructed to evaluate the accuracy of large language models for tabular data . the benchmark uses direct, indirect, and Chain-of-Thought prompting . |
| Approach: | They propose a framework that uses prompting, self-verification and constraint-based rule execution to improve accuracy. |
| Outcome: | The proposed framework significantly improves accuracy and recall in tabular data. |