Anmol Agarwal

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Code Generation

Natural Language

Metric Learning

Pairwise Similarities

Top Venues

Publications

Anmol Agarwal, Pratyush Priyadarshi, Shiven Sinha, Shrey Gupta, Hitkul Jangra, Kiran Garimella, Ponnurangam Kumaraguru
Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale. CoRR (2024)
Ajinkya Pankaj Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. CoRR (2024)
Anmol Agarwal, Pratyush Priyadarshi, Shiven Sinha, Shrey Gupta, Hitkul Jangra, Ponnurangam Kumaraguru, Kiran Garimella
Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale. KDD (2024)
Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov
Metron: Holistic Performance Evaluation Framework for LLM Inference Systems. CoRR (2024)
Anmol Agarwal, Rakshesh P. Bhatt, Clifton Fernandes
End-to-End System Level Solution for DDoS Attack Detection and Prediction for 5G and Future Wireless Networks. SmartNets (2024)
Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru
Towards Effective Paraphrasing for Information Disguise. CoRR (2023)
Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru
Towards Effective Paraphrasing for Information Disguise. ECIR (2) (2023)
Laksh Nanwani, Anmol Agarwal, Kanishk Jain, Raghav Prabhakar, Aaron Monis, Aditya Mathur, Krishna Murthy Jatavallabhula, A. H. Abdul Hafez, Vineet Gandhi, K. Madhava Krishna
Instance-Level Semantic Maps for Vision Language Navigation. CoRR (2023)
Laksh Nanwani, Anmol Agarwal, Kanishk Jain, Raghav Prabhakar, Aaron Monis, Aditya Mathur, Krishna Murthy Jatavallabhula, A. H. Abdul Hafez, Vineet Gandhi, K. Madhava Krishna
Instance-Level Semantic Maps for Vision Language Navigation. RO-MAN (2023)
Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny
ChaTA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs. CoRR (2023)
Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR (2022)
Anmol Agarwal, Jigar Gupta, Rahul Goel, Shyam Upadhyay, Pankaj Joshi, Rengarajan Aravamudhan
CST5: Data Augmentation for Code-Switched Semantic Parsing. CoRR (2022)
Vedant Shah, Anmol Agarwal, Tanmay Tulsidas Verlekar, Raghavendra Singh
Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re-training. ICCVW (2021)
Ashwin Singh, Mallika Subramanian, Anmol Agarwal, Pratyush Priyadarshi, Shrey Gupta, Kiran Garimella, Sanjeev Kumar, Ritesh Kumar, Lokesh Garg, Erica Arya, Ponnurangam Kumaraguru
Diagnosing Web Data of ICTs to Provide Focused Assistance in Agricultural Adoptions. CoRR (2021)
Gina Fossati, Anmol Agarwal, Ebru Celikel Cankaya
Digital Image Forensics Using Hexadecimal Image Analysis. AHFE (10) (2021)
Gbadebo Ayoade, Khandakar Ashrafi Akbar, Pracheta Sahoo, Yang Gao, Anmol Agarwal, Kangkook Jee, Latifur Khan, Anoop Singhal
Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning. CNS (2020)