Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning. - Gbadebo Ayoade; Khandakar Ashrafi Akbar; Pracheta Sahoo; Yang Gao 027; Anmol Agarwal; Kangkook Jee; Latifur Khan; Anoop Singhal (CNS, 2020)

Digital Image Forensics Using Hexadecimal Image Analysis. - Gina Fossati; Anmol Agarwal; Ebru Celikel Cankaya (AHFE (10), 2021)

Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re-training. - Vedant Shah; Anmol Agarwal; Tanmay Tulsidas Verlekar; Raghavendra Singh (ICCVW, 2021)

Diagnosing Web Data of ICTs to Provide Focused Assistance in Agricultural Adoptions. - Ashwin Singh; Mallika Subramanian; Anmol Agarwal; Pratyush Priyadarshi; Shrey Gupta; Kiran Garimella; Sanjeev Kumar; Ritesh Kumar; Lokesh Garg; Erica Arya; Ponnurangam Kumaraguru (CoRR, 2021)

Diagnosing Data from ICTs to Provide Focused Assistance in Agricultural Adoptions. - Ashwin Singh; Mallika Subramanian; Anmol Agarwal; Pratyush Priyadarshi; Shrey Gupta; Kiran Garimella; Ponnurangam Kumaraguru; Sanjeev Kumar; Ritesh Kumar; Lokesh Garg; Erica Arya (ICTD, 2022)

Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. - Shrey Gupta; Anmol Agarwal; Manas Gaur; Kaushik Roy 009; Vignesh Narayanan; Ponnurangam Kumaraguru; Amit P. Sheth (CoRR, 2022)

CST5: Data Augmentation for Code-Switched Semantic Parsing. - Anmol Agarwal; Jigar Gupta; Rahul Goel; Shyam Upadhyay; Pankaj Joshi; Rengarajan Aravamudhan (CoRR, 2022)

Towards Effective Paraphrasing for Information Disguise. - Anmol Agarwal; Shrey Gupta; Vamshi Bonagiri; Manas Gaur; Joseph Reagle; Ponnurangam Kumaraguru (ECIR (2), 2023)

Instance-Level Semantic Maps for Vision Language Navigation. - Laksh Nanwani; Anmol Agarwal; Kanishk Jain; Raghav Prabhakar; Aaron Monis; Aditya Mathur; Krishna Murthy Jatavallabhula; A. H. Abdul Hafez; Vineet Gandhi; K. Madhava Krishna (RO-MAN, 2023)

ChaTA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs. - Yann Hicke; Anmol Agarwal; Qianou Ma; Paul Denny 001 (CoRR, 2023)

Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale. - Anmol Agarwal; Pratyush Priyadarshi; Shiven Sinha; Shrey Gupta; Hitkul Jangra; Ponnurangam Kumaraguru; Kiran Garimella (KDD, 2024)

End-to-End System Level Solution for DDoS Attack Detection and Prediction for 5G and Future Wireless Networks. - Anmol Agarwal; Rakshesh P. Bhatt; Clifton Fernandes (SmartNets, 2024)

Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. - Ajinkya Pankaj Deshpande; Anmol Agarwal; Shashank Shet; Arun Iyer; Aditya Kanade 001; Ramakrishna Bairi; Suresh Parthasarathy (CoRR, 2024)

Metron: Holistic Performance Evaluation Framework for LLM Inference Systems. - Amey Agrawal; Anmol Agarwal; Nitin Kedia; Jayashree Mohan; Souvik Kundu 009; Nipun Kwatra; Ramachandran Ramjee; Alexey Tumanov (CoRR, 2024)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

On Evaluating Performance of LLM Inference Serving Systems. - Amey Agrawal; Nitin Kedia; Anmol Agarwal; Jayashree Mohan; Nipun Kwatra; Souvik Kundu 009; Ramachandran Ramjee; Alexey Tumanov (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)