Animesh Mukherjee

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 245

Top Venues

Publications

Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. CoRR (2024)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. CoRR (2024)
Mithun Das, Saurabh Kumar Pandey, Shivansh Sethi, Punyajoy Saha, Animesh Mukherjee
Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi. CoRR (2024)
Sayantan Adak, Daivik Agrawal, Animesh Mukherjee, Somak Aditya
GRAFFORD: A Benchmark Dataset for Testing the Knowledge of Object Affordances of Language and Vision Models. CoRR (2024)
Siddharth D. Jaiswal, Abhisek Dash, Nitika Shroff, Yashwanth Babu Vunnam, Saptarshi Ghosh, Animesh Mukherjee
Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages. CoRR (2024)
Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey, Aaditya Agrawal, Pramit Kumar Chandra, Animesh Mukherjee
Understanding how social discussion platforms like Reddit are influencing financial behavior. CoRR (2024)
Fariba Afrin Irany, Soumya Sarakar, Animesh Mukherjee, Sanjukta Bhowmick
Sampling-Based Attack for Centrality Disruption in Complex Networks. CoRR (2024)
Mithun Das, Saurabh Kumar Pandey, Animesh Mukherjee
Evaluating ChatGPT against Functionality Tests for Hate Speech Detection. LREC/COLING (2024)
Daryna Dementieva, Daniil Moskovskiy, Nikolay Babakov, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Dmitry Ustalov, Elisei Stakovskii, Alisa Smirnova, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko
Overview of the Multilingual Text Detoxification Task at PAN 2024. CLEF (Working Notes) (2024)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi
Antitrust, Amazon, and Algorithmic Auditing. CoRR (2024)
Siddharth D. Jaiswal, Ankit Kumar Verma, Animesh Mukherjee
Mask-up: Investigating Biases in Face Re-identification for Masked Faces. CoRR (2024)
Seid Muhie Yimam, Daryna Dementieva, Tim Fischer, Daniil Moskovskiy, Naquee Rizwan, Punyajoy Saha, Sarthak Roy, Martin Semmann, Alexander Panchenko, Chris Biemann, Animesh Mukherjee
Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management. CoRR (2024)
Arijit Nag, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti
Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs. CoRR (2024)
Somnath Banerjee, Maulindu Sarkar, Punyajoy Saha, Binny Mathew, Animesh Mukherjee
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks. CoRR (2024)
Mithun Das, Saurabh Kumar Pandey, Shivansh Sethi, Punyajoy Saha, Animesh Mukherjee
Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi. EACL (Findings) (2024)
Somnath Banerjee, Amruit Sahoo, Sayan Layek, Avik Dutta, Rima Hazra, Animesh Mukherjee
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context. CoRR (2024)
Somnath Banerjee, Avik Dutta, Aaditya Agrawal, Rima Hazra, Animesh Mukherjee
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem. CoRR (2024)
Anjan Chowdhury, Sriram Srinivasan, Animesh Mukherjee, Sanjukta Bhowmick, Kuntal Ghosh
Improving Node Classification Accuracy of GNN through Input and Output Intervention. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Somnath Banerjee, Avik Halder, Rajarshi Mandal, Sayan Layek, Ian Soboroff, Rima Hazra, Animesh Mukherjee
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance. CoRR (2024)
Punyajoy Saha, Aalok Agrawal, Abhik Jana, Chris Biemann, Animesh Mukherjee
On Zero-Shot Counterspeech Generation by LLMs. CoRR (2024)
Somnath Banerjee, Maulindu Sarkar, Punyajoy Saha, Binny Mathew, Animesh Mukherjee
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks. LREC/COLING (2024)
Anand Kumar Rai, Siddharth D. Jaiswal, Animesh Mukherjee
A Deep Dive into the Disparity of Word Error Rates across Thousands of NPTEL MOOC Videos. ICWSM (2024)
Punyajoy Saha, Aalok Agrawal, Abhik Jana, Chris Biemann, Animesh Mukherjee
On Zero-Shot Counterspeech Generation by LLMs. LREC/COLING (2024)
Somnath Banerjee, Sayan Layek, Rima Hazra, Animesh Mukherjee
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries. CoRR (2024)
Somnath Banerjee, Soham Tripathy, Sayan Layek, Shanu Kumar, Animesh Mukherjee, Rima Hazra
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models. CoRR (2024)
Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. ECIR (6) (2024)
Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. CoRR (2024)
Naquee Rizwan, Paramananda Bhaskar, Mithun Das, Swadhin Satyaprakash Majhi, Punyajoy Saha, Animesh Mukherjee
Zero shot VLMs for hate meme detection: Are we there yet? CoRR (2024)
Sarthak Roy, Ashish Harshavardhan, Animesh Mukherjee, Punyajoy Saha
Probing LLMs for hate speech detection: strengths and vulnerabilities. EMNLP (Findings) (2023)
Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta, Animesh Mukherjee
HateMM: A Multi-Modal Dataset for Hate Video Classification. ICWSM (2023)
Sarthak Roy, Ashish Harshavardhan, Animesh Mukherjee, Punyajoy Saha
Probing LLMs for hate speech detection: strengths and vulnerabilities. CoRR (2023)
Anand Kumar Rai, Siddharth D. Jaiswal, Animesh Mukherjee
A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos. CoRR (2023)
Abhilash Datta, Souvic Chakraborty, Animesh Mukherjee
Personality Detection and Analysis using Twitter Data. CoRR (2023)
Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti
Transfer Learning for Low-Resource Multilingual Relation Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (1) (2023)
Rima Hazra, Debanjan Saha, Amruit Sahoo, Somnath Banerjee, Animesh Mukherjee
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities. CoRR (2023)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10 (3) (2023)
Rima Hazra, Debanjan Saha, Amruit Sahoo, Somnath Banerjee, Animesh Mukherjee
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities. ASONAM (2023)
Siddharth D. Jaiswal, Ankit Kumar Verma, Animesh Mukherjee
Auditing Gender Analyzers on Text Data. CoRR (2023)
Paramita Das, Sai Keerthana Karnam, Anirban Panda, Bhanu Prakash Reddy Guda, Soumya Sarkar, Animesh Mukherjee
Diversity matters: Robustness of bias measurements in Wikidata. CoRR (2023)
Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee
HateProof: Are Hateful Meme Detection Systems really Robust? CoRR (2023)
Mithun Das, Animesh Mukherjee
Transfer Learning for Multilingual Abusive Meme Detection. WebSci (2023)
Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee
HateProof: Are Hateful Meme Detection Systems really Robust? WWW (2023)
Punyajoy Saha, Kiran Garimella, Narla Komal Kalyan, Saurabh Kumar Pandey, Pauras Mangesh Meher, Binny Mathew, Animesh Mukherjee
On the rise of fear speech in online social media. CoRR (2023)
Paramita Das, Sai Keerthana Karnam, Anirban Panda, Bhanu Prakash Reddy Guda, Soumya Sarkar, Animesh Mukherjee
Diversity matters: Robustness of bias measurements in Wikidata. WebSci (2023)
Rima Hazra, Agnik Saha, Somnath Banerjee, Animesh Mukherjee
Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms. CoRR (2023)
Mithun Das, Animesh Mukherjee
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification. EMNLP (2023)
Mithun Das, Animesh Mukherjee
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification. CoRR (2023)
Mithun Das, Saurabh Kumar Pandey, Animesh Mukherjee
Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection. CoRR (2023)
Utkarsh Patel, Animesh Mukherjee, Mainack Mondal
"Dummy Grandpa, Do You Know Anything?": Identifying and Characterizing Ad Hominem Fallacy Usage in the Wild. ICWSM (2023)
Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta, Animesh Mukherjee
HateMM: A Multi-Modal Dataset for Hate Video Classification. CoRR (2023)
Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee
Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science. CoRR (2023)
Punyajoy Saha, Divyanshu Sheth, Kushal Kedia, Binny Mathew, Animesh Mukherjee
Rationale-Guided Few-Shot Classification to Detect Abusive Language. ECAI (2023)
Punyajoy Saha, Mithun Das, Binny Mathew, Animesh Mukherjee
Hate Speech: Detection, Mitigation and Beyond. WSDM (2023)
Siddharth D. Jaiswal, Animesh Mukherjee
A History of Diversity in The Web (Conference). WWW (Companion Volume) (2023)
Siddharth D. Jaiswal, Ankit Kumar Verma, Animesh Mukherjee
Auditing Gender Analyzers on Text Data. ASONAM (2023)
Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti
Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks. ACL (Findings) (2023)
Mithun Das, Somnath Banerjee, Animesh Mukherjee
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages. CoRR (2022)
Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey, Aaditya Agrawal, Pramit Kumar Chandra, Animesh Mukherjee
Understanding how social discussion platforms like Reddit are influencing financial behavior. WI/IAT (2022)
Rima Hazra, Arpit Dwivedi, Animesh Mukherjee
Is this bug severe? A text-cum-graph based model for bug severity prediction. CoRR (2022)
Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee
Fast Few Shot Self-attentive Semi-supervised Political Inclination Prediction. ICADL (2022)
Souvic Chakraborty, Parag Dutta, Sumegh Roychowdhury, Animesh Mukherjee
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection. NAACL-HLT (Findings) (2022)
Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee
Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Siddharth D. Jaiswal, Animesh Mukherjee
Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items. CHI Extended Abstracts (2022)
Parag Dutta, Souvic Chakraborty, Sumegh Roychowdhury, Animesh Mukherjee
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection. CoRR (2022)
Punyajoy Saha, Divyanshu Sheth, Kushal Kedia, Binny Mathew, Animesh Mukherjee
RAFT: Rationale adaptor for few-shot abusive language detection. CoRR (2022)
Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee
Mining the online infosphere: A survey. WIREs Data Mining Knowl. Discov. 12 (5) (2022)
Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee
Fast Few shot Self-attentive Semi-supervised Political Inclination Prediction. CoRR (2022)
Medidoddi Vahini, Jalend Bantupalli, Souvic Chakraborty, Animesh Mukherjee
Decoding Demographic un-fairness from Indian Names. SocInfo (2022)
Mithun Das, Punyajoy Saha, Binny Mathew, Animesh Mukherjee
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models. LREC (2022)
Sayantan Adak, Altaf Ahmad, Aditya Basu, Animesh Mukherjee
Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach. CoRR (2022)
Mithun Das, Somnath Banerjee, Animesh Mukherjee
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification. CoRR (2022)
Anjan Chowdhury, Sriram Srinivasan, Sanjukta Bhowmick, Animesh Mukherjee, Kuntal Ghosh
Constant community identification in million-scale networks. Soc. Netw. Anal. Min. 12 (1) (2022)
Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee
Two-Face: Adversarial Audit of Commercial Face Recognition Systems. ICWSM (2022)
Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee
CounterGeDi: A Controllable Approach to Generate Polite, Detoxified and Emotional Counterspeech. IJCAI (2022)
Mithun Das, Somnath Banerjee, Animesh Mukherjee
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages. HT (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW (2022)
Mithun Das, Punyajoy Saha, Binny Mathew, Animesh Mukherjee
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models. CoRR (2022)
Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee
A core-periphery structure-based network embedding approach. Soc. Netw. Anal. Min. 12 (1) (2022)
Mithun Das, Somnath Banerjee, Punyajoy Saha, Animesh Mukherjee
Hate Speech and Offensive Language Detection in Bengali. CoRR (2022)
Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee
(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India. SocInfo (2022)
Vikram Gupta, Sumegh Roychowdhury, Mithun Das, Somnath Banerjee, Punyajoy Saha, Binny Mathew, Hastagiri Prakash Vanchinathan, Animesh Mukherjee
Multilingual Abusive Comment Detection at Scale for Indic Languages. NeurIPS (2022)
Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee
CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech. CoRR (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. CoRR (2022)
Utkarsh Patel, Animesh Mukherjee, Mainack Mondal
"Dummy Grandpa, do you know anything?": Identifying and Characterizing Ad hominem Fallacy Usage in the Wild. CoRR (2022)
Mithun Das, Abhisek Dash, Siddharth D. Jaiswal, Binny Mathew, Punyajoy Saha, Animesh Mukherjee
Platform Governance: Past, Present and Future. GetMobile Mob. Comput. Commun. 26 (1) (2022)
Rima Hazra, Arpit Dwivedi, Animesh Mukherjee
Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction. ECML/PKDD (6) (2022)
Mithun Das, Somnath Banerjee, Punyajoy Saha, Animesh Mukherjee
Hate Speech and Offensive Language Detection in Bengali. AACL/IJCNLP (1) (2022)
Sayantan Adak, Altaf Ahmad, Aditya Basu, Animesh Mukherjee
Placing (Historical) Facts on a Timeline: A Classification Cum Coref Resolution Approach. ECML/PKDD (6) (2022)
Medidoddi Vahini, Jalend Bantupalli, Souvic Chakraborty, Animesh Mukherjee
Decoding Demographic un-fairness from Indian Names. CoRR (2022)
Paramita Das, Bhanu Prakash Reddy Guda, Debajit Chakraborty, Soumya Sarkar, Animesh Mukherjee
When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia. CoRR (2021)
Paramita Das, Bhanu Prakash Reddy Guda, Debajit Chakraborty, Soumya Sarkar, Animesh Mukherjee
When Expertise Gone Missing: Uncovering the Loss of Prolific Contributors in Wikipedia. ICADL (2021)
Srijan Bansal, Vishal Garimella, Ayush Suhane, Animesh Mukherjee
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages. HT (2021)
Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups. CoRR (2021)
Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification. CoNLL (2021)
Mithun Das, Punyajoy Saha, Ritam Dutt, Pawan Goyal, Animesh Mukherjee, Binny Mathew
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights. CoRR (2021)
Anjan Chowdhury, Sriram Srinivasan, Sanjukta Bhowmick, Animesh Mukherjee, Kuntal Ghosh
Constant community identification in million scale networks using image thresholding algorithms. ASONAM (2021)
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. AAAI (2021)
Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti
Joint Autoregressive and Graph Models for Software and Developer Social Networks. ECIR (1) (2021)
Debjoy Saha, Naman Paharia, Debajit Chakraborty, Punyajoy Saha, Animesh Mukherjee
Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Animesh Mukherjee