Shivam Sharma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
11
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Entity Framing and Role Portrayal in the News. | Tarek Mahmoud, Zhuohan Xie, Dimitar Iliyanov Dimitrov, Nikolaos Nikolaidis, Purificao Silvano, Roman Yangarber, Shivam Sharma, Elisa Sartori, Nicolas Stefanovitch, Giovanni Da San Martino, Jakub Piskorski, Preslav Nakov |
| 2025 | COMPSAC | Harnessing Market Memory: Adaptive Reinforcement Learning with Fractional Brownian Motion for Portfolio Optimization. | Shivam Sharma, Shahram Latifi, Pushkin Kachroo |
| 2024 | ACL | MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. | Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty |
| 2024 | EMNLP | Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models. | Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee |
| 2023 | AAAI | What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. | Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | ACL | MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. | Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | CAIP | Robust Adversarial Defence: Use of Auto-inpainting. | Shivam Sharma, Rohan Joshi, Shruti Bhilare, Manjunath V. Joshi |
| 2023 | EACL | Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? | Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | IJCAI | Detecting and Understanding Harmful Memes: A Survey. | Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty |
| 2022 | IJCNLP | Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. | Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | NAACL | DISARM: Detecting the Victims Targeted by Harmful Memes. | Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2021 | AAAI | Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts. | Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL, Amitava Das, Asif Ekbal, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2021 | AAAI | Fighting an Infodemic: COVID-19 Fake News Dataset. | Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty |
| 2021 | ACL | Detecting Harmful Memes and Their Targets. | Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2021 | EMNLP | MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. | Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2018 | WWW | Combining Neural, Statistical and External Features for Fake News Stance Identification. | Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, Balasubramanian Raman, Ankush Mittal |
| 2017 | ACII | An intelligent system for infant cry detection and information in real time. | Pruthvi Raj Myakala, Rajasree Nalumachu, Shivam Sharma, V. K. Mittal |
| 2017 | ACII | Acoustic analysis of infant cry signal towards automatic detection of the cause of crying. | Shivam Sharma, Pruthvi Raj Myakala, Rajasree Nalumachu, Suryakanth V. Gangashetty, V. K. Mittal |