Shivam Sharma
15 papers · 2021–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (12)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
💎
Century Club · Bronze
🗃️
Keyword Collector
(69)
Top co-authors
Research topics
Artificial Intelligence
(9)
Natural Language Processing
(9)
Core AI
(9)
Machine Learning
(6)
Applications
(6)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Resources & Methods
(4)
Understanding
(4)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Analysis
(1)
Application Areas
(1)
Keywords
multimodal learning
(6)
meme analysis
(4)
hate speech detection
(3)
large language model
(3)
semantic role labeling
(3)
natural language generation
(2)
entity framing
(2)
zero-shot learning
(2)
news analysis
(2)
named entity recognition
(2)
self-supervised learning
(1)
text generation
(1)
content moderation
(1)
multilingual processing
(1)
text mining
(1)
text classification
(1)
harmful content
(1)
visual question answering
(1)
information extraction
(1)
meme classification
(1)
Papers
Entity Framing and Role Portrayal in the News
ACL 2025
SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News
SemEval 2025
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
ACL 2024
Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models
EMNLP 2024
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
EACL 2023
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization
ACL 2023
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
AAAI 2023
Detecting and Understanding Harmful Memes: A Survey
IJCAI 2022
DISARM: Detecting the Victims Targeted by Harmful Memes
NAACL 2022
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis
AACL 2022
Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes
ACL 2022
Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned
ACL 2022
Detecting Harmful Memes and Their Targets
ACL 2021
Evaluating and Explaining Natural Language Generation with GenX
NAACL 2021
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
EMNLP 2021