Sambaran Bandyopadhyay
13 papers · 2015–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver ποΈ Keyword Collector (59)
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Core Methods
(7)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Architectures
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
Computer Science
(2)
Application Areas
(2)
Applications
(2)
Generation
(2)
Resources & Methods
(2)
Computer Vision
(1)
Keywords
large language model
(5)
graph neural network
(5)
outlier detection
(2)
in-context learning
(2)
anomaly detection
(1)
hierarchical planning
(1)
few-shot learning
(1)
self-supervised learning
(1)
transfer learning
(1)
natural language inference
(1)
code completion
(1)
document summarization
(1)
text generation
(1)
multimodal learning
(1)
semantic analysis
(1)
document understanding
(1)
text summarization
(1)
text-to-image generation
(1)
community detection
(1)
structure learning
(1)
Papers
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document
AAAI 2025
Infogen: Generating Complex Statistical Infographics from Documents
ACL 2025
Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution
AAAI 2025
Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs
ACL 2025
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text
EMNLP 2024
Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution
EMNLP 2024
Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents
EACL 2024
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture
IJCAI 2022
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network
IJCAI 2022
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
AAAI 2021
Unsupervised constrained community detection via self-expressive graph neural network
UAI 2021
Outlier Aware Network Embedding for Attributed Networks
AAAI 2019
Aggregate Demand-Based Real-Time Pricing Mechanism for the Smart Grid: A Game-Theoretic Analysis
IJCAI 2015