Md. Shad Akhtar
24 papers · 2018–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (8) π Academic Marathon (7) π Conference Polyglot (10) πΊοΈ Taxonomy Completionist (42)
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Taxonomy Completionist
(42)
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Keyword Pioneer
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Hot Topic Early Bird
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Dynamic Duo
(19)
π§¬
Topic Evolution
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Century Club
(24)
β
The Questioner
(2)
ποΈ
Keyword Collector
(103)
π₯
Unstoppable
(5)
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Prolific Year
(6)
Conferences
ACL (5)
EMNLP (4)
COLING (3)
IJCNLP (3)
NAACL (3)
EACL (2)
AAAI (1)
AACL (1)
IJCAI (1)
SEMEVAL (1)
Top co-authors
Keywords
meme analysis
(5)
multimodal learning
(5)
large language model
(3)
hate speech detection
(3)
semantic role labeling
(3)
sentiment analysis
(3)
dialogue system
(3)
label-efficient training
(2)
emotion recognition
(2)
claim detection
(2)
text summarization
(2)
code-mixed language
(2)
natural language generation
(1)
social media analysis
(1)
manifold learning
(1)
factual accuracy
(1)
self-supervised learning
(1)
self-attention mechanism
(1)
sequence modeling
(1)
argument mining
(1)
Papers
Towards Understanding LLM-Generated Biomedical Lay Summaries
NAACL 2025
QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs
COLING 2025
Overview of the PerAnsSumm 2025 Shared Task on Perspective-aware Healthcare Answer Summarization
NAACL 2025
Adding SPICE to Life: Speaker Profiling in Multiparty Conversations
COLING 2024
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
NAACL 2024
EROS:Entity-Driven Controlled Policy Document Summarization
COLING 2024
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
SEMEVAL 2024
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
AAAI 2023
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization
ACL 2023
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
ACL 2023
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
EACL 2023
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding
EMNLP 2023
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis
AACL 2022
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis
IJCNLP 2022
Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes
ACL 2022
Detecting and Understanding Harmful Memes: A Survey
IJCAI 2022
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter
EMNLP 2022
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content
EACL 2021
Detecting Harmful Memes and Their Targets
ACL 2021
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
EMNLP 2021
Detecting Harmful Memes and Their Targets
IJCNLP 2021
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation
IJCNLP 2021
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation
ACL 2021
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
EMNLP 2018