Imran Razzak
20 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (14)
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Keyword Pioneer
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Hot Topic Early Bird
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Mega-Team
(21)
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Keyword Collector
(95)
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Century Club
(15)
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Unstoppable
(5)
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Prolific Year
(10)
Conferences
AAAI (5)
EMNLP (4)
ACL (3)
COLING (3)
MICCAI (2)
NIPS (2)
CVPR (1)
Top co-authors
Research topics
Keywords
large language model
(5)
multimodal learning
(2)
knowledge graph
(2)
multimodal large language model
(2)
attention mechanism
(2)
information extraction
(2)
link prediction
(1)
zero-shot learning
(1)
image classification
(1)
hierarchical classification
(1)
memory recall
(1)
uncertainty quantification
(1)
visual question answering
(1)
self-supervised learning
(1)
natural language processing
(1)
catastrophic forgetting
(1)
social media analysis
(1)
knowledge distillation
(1)
few-shot learning
(1)
medical imaging
(1)
Papers
VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging
AAAI 2026
FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning
AAAI 2026
Long Context Modeling with Ranked Memory-Augmented Retrieval
ACL 2026
DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning
AAAI 2026
Data-Centric Sequential Recommendation with Relation-Augmented Generation
AAAI 2026
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
CVPR 2025
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
EMNLP 2025
Probing the Limits of Multilingual Language Understanding: Low-Resource Language Proverbs as LLM Benchmark for AI Wisdom
EMNLP 2025
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
MICCAI 2025
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
MICCAI 2025
A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making
EMNLP 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation
ACL 2025
Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes
COLING 2025
Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification
COLING 2025
Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects
COLING 2025
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
NIPS 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
AAAI 2024
Building Timeseries Dataset: Empowering Large-Scale Building Analytics
NIPS 2024
Debunking Biases in Attention
ACL 2023
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict
EMNLP 2022