Srikant Panda

According to our database1, Srikant Panda authored at least 22 papers between 2024 and 2026.

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Bibliography

2026
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data.
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CoRR, January, 2026

Auditing Disability Representation in Vision-Language Models.
CoRR, January, 2026

2025
World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models.
CoRR, November, 2025

Say It Differently: Linguistic Styles as Jailbreak Vectors.
CoRR, November, 2025

Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought.
CoRR, October, 2025

Who Gets Left Behind? Auditing Disability Inclusivity in Large Language Models.
CoRR, September, 2025

DAIQ: Auditing Demographic Attribute Inference from Question in LLMs.
CoRR, August, 2025

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation.
CoRR, June, 2025

Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization.
CoRR, February, 2025

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

A Diagnostic Framework for Auditing Reference-Free Vision-Language Metrics.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Who's Asking? Investigating Bias Through the Lens of Disability-Framed Queries in LLMs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

PCRI: Measuring Context Robustness in Multimodal Models for Enterprise Applications.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

AccessEval: Benchmarking Disability Bias in Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FlexDoc: Parameterized Sampling for Diverse Multilingual Synthetic Documents for Training Document Understanding Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

MVTamperBench: Evaluating Robustness of Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
MVTamperBench: Evaluating Robustness of Vision-Language Models.
CoRR, 2024

Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy.
CoRR, 2024

Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts.
CoRR, 2024


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