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Anjishnu Mukherjee

Observed name: Mukherjee, Anjishnu
ORCID: 0000-0003-4012-8466
Observed ORCID: 0000-0003-4012-8466
OpenAlex ID: A5047694815
mlpack 4: a fast, header-only C++ machine learning library
2023 · Ryan R. Curtin, Marcus Edel, et al. · The Journal of Open Source Software · 30
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Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis
2024 · Chahat Raj, Anjishnu Mukherjee, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 16
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Automated Detection of Bowel Preparation Scoring and Adequacy With Deep Convolutional Neural Networks
2022 · Daniel J Low, Zhuoqiao Hong, et al. · Journal of the Canadian Association of Gastroenterology · 9
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Global Voices, Local Biases: Socio-Cultural Prejudices across Languages
2023 · Anjishnu Mukherjee, Chahat Raj, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 8
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BiasDora: Exploring Hidden Biased Associations in Vision-Language Models
2024 · Chahat Raj, Anjishnu Mukherjee, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 7
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A Study of Public Sentiment and Influence of Politics in COVID-19 Related Tweets
2021 · Anjishnu Mukherjee, Souparno Bhattacharyya, et al. · Advances in intelligent systems and computing · 4
Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning
2024 · Anjishnu Mukherjee, Aylin Caliskan, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 3
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True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning
2023 · Chahat Raj, Anjishnu Mukherjee, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 3
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Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM Generations
2026 · Mamnuya Rinki, Chahat Raj, et al. · Workshop on Trustworthy NLP (TrustNLP) · 1
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SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models
2024 · Chahat Raj, Anjishnu Mukherjee, et al. · Lecture notes in computer science · 1
Fr614 AUTOMATED DETECTION OF CECAL INTUBATION WITH VARIABLE BOWEL PREPARATION USING A DEEP CONVOLUTIONAL NEURAL NETWORK
2021 · Daniel J. Low, Zhuoqiao Hong, et al. · Gastroenterology · 1
Metadata Conditioned Large Language Models for Localization
2026 · Association for Computational Linguistics 2026, Anastasopoulos, Antonios, et al. · Underline Science Inc.
Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs
2026 · Mukherjee, Anjishnu, Meng, Chutong, et al. · arXiv (Cornell University)
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Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement
2026 · Pan, Jinhao, Raj, Chahat, et al. · arXiv (Cornell University)
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MAPLE: Metadata Conditioned LLM Pretraining for Locale-Aware Question Answering
2026 · Anjishnu Mukherjee, Ziwei Zhu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Double Trouble: Bilingual Pretraining Leaves Language-Conditioned Effects in Shared-Language Representations
2026 · Anjishnu Mukherjee, Ziwei Zhu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models
2025 · Anjishnu Mukherjee, Ziwei Zhu, et al. · IEEE Winter Conference on Applications of Computer Vision
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Fr613 AUTOMATED DETECTION OF BOWEL PREPARATION ADEQUACY WITH DEEP CONVOLUTIONAL NEURAL NETWORKS
2021 · Daniel J. Low, Zhuoqiao Hong, et al. · Gastroenterology
Works count: 22
Citation count: 83
H-index: 5
I10-index: 2
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