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Tejas Anvekar

TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation
2025 · Vihang Pancholi, Jainit Sushil Bafna, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 3
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Diagnosis: Bad Planning & Reasoning. Treatment: SCoPE - Planning for Hybrid Querying over Clinical Trial Data
2026 · Association for Computational Linguistics 2026, Ali Khan, Muhammad, et al. · Underline Science Inc.
FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use
2026 · Association for Computational Linguistics 2026, Ali Khan, Muhammad, et al. · Underline Science Inc.
TabReX: Tabular Referenceless eXplainable Evaluation
2026 · Association for Computational Linguistics 2026, Anvekar, Tejas, et al. · Underline Science Inc.
SCOPE:Planning for Hybrid Querying over Clinical Trial Data
2026 · Chowdhury, Suparno Roy, Choudhury, Manan Roy, et al. · arXiv (Cornell University)
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FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use
2026 · Chowdhury, Suparno Roy, Anvekar, Tejas, et al. · arXiv (Cornell University)
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Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments
2026 · Association for Computational Linguistics 2026, Agarwal, Shiven, et al. · Underline Science Inc.
ViTaB-A: Evaluating Multimodal Large Language Models on Visual Table Attribution
2026 · Alqurnawi, Yahia, Biswas, Preetom, et al. · arXiv (Cornell University)
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TraceBack: Multi-Agent Decomposition for Fine-Grained Table Attribution
2026 · Anvekar, Tejas, Park, Junha, et al. · arXiv (Cornell University)
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DoPE: Decoy Oriented Perturbation Encapsulation Human-Readable, AI-Hostile Documents for Academic Integrity
2026 · Shekhar, Ashish Raj, Agarwal, Shiven, et al. · arXiv (Cornell University)
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Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments
2026 · Shekhar, Ashish Raj, Agarwal, Shiven, et al. · arXiv (Cornell University)
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Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments
2026 · Ashish Raj Shekhar, Shiven Agarwal, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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SCoPE: Planning for Hybrid Querying over Clinical Trial Data
2026 · Suparno Chowdhury, Manan Choudhury, et al.
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FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use
2026 · Suparno Roy Chowdhury, Tejas Anvekar, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective
2025 · Association for Computational Linguistics 2025, Anvekar, Tejas, et al. · Underline Science Inc.
Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective
2025 · Rajput, Krishna Singh, Anvekar, Tejas, et al. · arXiv (Cornell University)
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Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective
2025 · Tejas Anvekar, Krishna Singh Rajput, et al. · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)
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Works count: 17
Citation count: 3
H-index: 1
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