Amit Kumar Jaiswal

According to our database, Amit Kumar Jaiswal authored at least 34 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HiMed: Incentivizing Hindi Reasoning in Medical LLMs.

Dingfeng Jiang, Han Yan, Chenze Ma, Amit Kumar Jaiswal, Ang Li, Yunxiang Jiang, Xinlei Xiong, Juhao Liang, Hongru Xiao, Xiang Li, Fan Bu, Jiale Han, Ruchir Gupta, Prayag Tiwari, Benyou Wang

CoRR, May, 2026

DHOW-MiLLA: Joint Workshop on Diffusion of Harmful Content on Online Web and Countering Misinformation in the Age of LLMs and Agents.

Gautam Kishore Shahi, Thomas Mandl, Haiming Liu, Amit Kumar Jaiswal, Durgesh Nandini, Luis-Daniel Ibáñez, Junichi Suga, Dai Yamamoto, Rahul Mishra, Rajakrishnan P. Rajkumar, Sagar Uprety, Bornali Phukon, Sujit Kumar

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025

Multimodal medical image fusion algorithm in the era of big data.

Wei Tan, Prayag Tiwari, Hari Mohan Pandey, Catarina Moreira, Amit Kumar Jaiswal

Neural Comput. Appl., October, 2025

DHOW '25: 2nd International Workshop on Diffusion of Harmful Content on Online Web.

Amit Kumar Jaiswal, Thomas Mandl, Gautam Kishore Shahi, Durgesh Nandini, Haiming Liu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Overview of the First Shared Task on Prompt Recovery for Misinformation Detection (PROMID 2025).

Gautam Kishore Shahi, Asha Hegde, Shrey Satapara, Parth Mehta, Sandip Modha, Debasis Ganguly, Durgesh Nandini, H. L. Shashirekha, Amit Kumar Jaiswal, Gabriella Pasi, Thomas Mandl

Proceedings of the Working Notes of FIRE 2025, 2025

Prompt Recovery for Misinformation Detection at FIRE 2025.

Parth Mehta, Asha Hegde, Gautam Kishore Shahi, Shrey Satapara, Sandip Modha, Debasis Ganguly, Durgesh Nandini, Hosahalli Lakshmaiah Shashirekha, Amit Kumar Jaiswal, Gabriella Pasi, Thomas Mandl

Proceedings of the 17th annual meeting of the Forum for Information Retrieval Evaluation, 2025

Multimodal RAG Enhanced Visual Description.

Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Investigating Context Effects in Similarity Judgements in Large Language Models.

Sagar Uprety, Amit Kumar Jaiswal, Haiming Liu, Dawei Song

CoRR, 2024

Towards a Theoretical Understanding of Two-Stage Recommender Systems.

Amit Kumar Jaiswal

CoRR, 2024

Report on the 1st Workshop on Diffusion of Harmful Content on Online Web (DHOW) at WebSci 2024.

Gautam Kishore Shahi, Amit Kumar Jaiswal, Durgesh Nandini, Luis-Daniel Ibáñez, Thomas Mandl, Haiming Liu

Proceedings of the Companion Publication of the 16th ACM Web Science Conference, 2024

FakeClaim: A Multiple Platform-Driven Dataset for Identification of Fake News on 2023 Israel-Hamas War.

Gautam Kishore Shahi, Amit Kumar Jaiswal, Thomas Mandl

Proceedings of the Advances in Information Retrieval, 2024

2023

Predicting users' behavior using mouse movement information: an information foraging theory perspective.

Amit Kumar Jaiswal, Prayag Tiwari, M. Shamim Hossain

Neural Comput. Appl., November, 2023

Securing Blockchain Transactions Using Quantum Teleportation and Quantum Digital Signature.

Sheetal Singh, Nikhil Kumar Rajput, Vipin Kumar Rathi, Hari Mohan Pandey, Amit Kumar Jaiswal, Prayag Tiwari

Neural Process. Lett., 2023

A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease.

Manish Bhatia, Balram Meena, Vipin Kumar Rathi, Prayag Tiwari, Amit Kumar Jaiswal, Shagaf M. Ansari, Ajay Kumar, Pekka Marttinen

CoRR, 2023

A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings.

Amit Kumar Jaiswal, Yu Xiong

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Towards Subject Agnostic Affective Emotion Recognition.

Amit Kumar Jaiswal, Haiming Liu, Prayag Tiwari

Proceedings of the 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media co-located with the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023

Lightweight Adaptation of Neural Language Models via Subspace Embedding.

Amit Kumar Jaiswal, Haiming Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

SANTM: Efficient Self-attention-driven Network for Text Matching.

Prayag Tiwari, Amit Kumar Jaiswal, Sahil Garg, Ilsun You

ACM Trans. Internet Techn., 2022

2021

Entity-aware capsule network for multi-class classification of big data: A deep learning approach.

Amit Kumar Jaiswal, Prayag Tiwari, Sahil Garg, M. Shamim Hossain

Future Gener. Comput. Syst., 2021

Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages.

Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, Hiren Madhu, Shrey Satapara, Prasenjit Majumder, Johannes Schäfer, Tharindu Ranasinghe, Marcos Zampieri, Durgesh Nandini, Amit Kumar Jaiswal

CoRR, 2021

An edge AI-enabled IoT healthcare monitoring system for smart cities.

Vipin Kumar Rathi, Nikhil Kumar Rajput, Shubham Mishra, Bhavya Ahuja Grover, Prayag Tiwari, Amit Kumar Jaiswal, M. Shamim Hossain

Comput. Electr. Eng., 2021

Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images.

Amit Kumar Jaiswal, Prayag Tiwari, Sachin Kumar, Mabrook S. Al-Rakhami, Mubarak Alrashoud, Ahmed Ghoneim

IEEE Access, 2021

Semantic Hilbert Space for Interactive Image Retrieval.

Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Overview of the HASOC Subtrack at FIRE 2021: HateSpeech and Offensive Content Identification in English and Indo-Aryan Languages.

Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, Hiren Madhu, Shrey Satapara, Prasenjit Majumder, Johannes Schäfer, Tharindu Ranasinghe, Marcos Zampieri, Durgesh Nandini, Amit Kumar Jaiswal

Proceedings of the Working Notes of FIRE 2021, 2021

2020

Evidence of power-law behavior in cognitive IoT applications.

Sujit Bebortta, Dilip Senapati, Nikhil Kumar Rajput, Amit Kumar Singh, Vipin Kumar Rathi, Hari Mohan Pandey, Amit Kumar Jaiswal, Jia Qian, Prayag Tiwari

Neural Comput. Appl., 2020

A Blockchain-Enabled Multi Domain Edge Computing Orchestrator.

Vipin Kumar Rathi, Vinay Chaudhary, Nikhil Kumar Rajput, Bhavya Ahuja, Amit Kumar Jaiswal, Deepak Gupta, Mohamed Elhoseny, Mohammad Hammoudeh

IEEE Internet Things Mag., 2020

Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach.

Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz

Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th,, 2020

Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages.

Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, Amit Kumar Jaiswal, Durgesh Nandini, Daksh Patel, Prasenjit Majumder, Johannes Schäfer

Proceedings of the Working Notes of FIRE 2020, 2020

Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion.

Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz

Proceedings of the Advances in Information Retrieval, 2020

2019

Effects of Foraging in Personalized Content-based Image Recommendation.

Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz

CoRR, 2019

Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases.

Amit Kumar Jaiswal, Ivan Panshin, Dimitrij Shulkin, Nagender Aneja, Samuel Abramov

CoRR, 2019

Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation.

Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz

Proceedings of the FIRE '19: Forum for Information Retrieval Evaluation, 2019

2018

Parsec: A State Channel for the Internet of Value.

Amit Kumar Jaiswal

CoRR, 2018

Quantum-like Generalization of Complex Word Embedding: A Lightweight Approach for Textual Classification.

Amit Kumar Jaiswal, Guilherme Holdack, Ingo Frommholz, Haiming Liu

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018