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Md. Shad Akhtar

20 papers · 2018–2025 · 9 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.

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (36) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (15) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2) πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (97)

Papers

Overview of the PerAnsSumm 2025 Shared Task on Perspective-aware Healthcare Answer Summarization NAACL 2025 QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs COLING 2025 Towards Understanding LLM-Generated Biomedical Lay Summaries NAACL 2025 Adding SPICE to Life: Speaker Profiling in Multiparty Conversations COLING 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 Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? EACL 2023 Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation ACL 2023 Manifold-Preserving Transformers are Effective for Short-Long Range Encoding EMNLP 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 Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis AACL 2022 Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter EMNLP 2022 Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes ACL 2022 Detecting Harmful Memes and Their Targets ACL 2021 HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ACL 2021 LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content EACL 2021 MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets EMNLP 2021 IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis EMNLP 2018