Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes ACL CONSTRAINT

Shivam Sharma | Tharun Suresh | Atharva Kulkarni | Himanshi Mathur | Preslav Nakov | Md. Shad Akhtar | Tanmoy Chakraborty |

Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned ACL BigScience

Sameera Horawalavithana | Ellyn Ayton | Shivam Sharma | Scott Howland | Megha Subramanian | Scott Vasquez | Robin Cosbey | Maria Glenski | Svitlana Volkova |

DISARM: Detecting the Victims Targeted by Harmful Memes Findings NAACL

Shivam Sharma | Md Shad Akhtar | Preslav Nakov | Tanmoy Chakraborty |

Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis AACL IJCNLP

Shivam Sharma | Mohd Khizir Siddiqui | Md. Shad Akhtar | Tanmoy Chakraborty |

Evaluating and Explaining Natural Language Generation with GenX DaSH NAACL

Kayla Duskin | Shivam Sharma | Ji Young Yun | Emily Saldanha | Dustin Arendt |

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets EMNLP Findings

Shraman Pramanick | Shivam Sharma | Dimitar Dimitrov | Md. Shad Akhtar | Preslav Nakov | Tanmoy Chakraborty |

Detecting Harmful Memes and Their Targets Findings

Shraman Pramanick | Dimitar Dimitrov | Rituparna Mukherjee | Shivam Sharma | Md. Shad Akhtar | Preslav Nakov | Tanmoy Chakraborty |

A Database of Infant Cry Sounds to Study the Likely Cause of Cry ICON WS

Shivam Sharma | Shubham Asthana | V. K. Mittal |