Shivam Agarwal
15 papers · 2020–2025 · 10 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 ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π€
Dynamic Duo
(12)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
ποΈ
Keyword Collector
(73)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(8)
Artificial Intelligence
(7)
Deep Learning
(7)
Core AI
(7)
Architectures
(5)
Natural Language Processing
(4)
Application Areas
(4)
Applications
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
Techniques
(3)
Mathematics & Optimization
(2)
Models
(2)
Computer Science
(1)
Keywords
graph neural network
(4)
multimodal learning
(3)
hyperbolic space
(3)
attention mechanism
(3)
sentiment analysis
(3)
temporal modeling
(2)
social media analysis
(2)
stock trading
(2)
data augmentation
(2)
quantitative trading
(2)
text representation
(2)
natural language processing
(2)
learning to rank
(2)
riemannian manifold
(2)
stock prediction
(2)
stock movement
(2)
information retrieval
(1)
text generation
(1)
prompt engineering
(1)
curriculum learning
(1)
Papers
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
ICLR 2025
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction
COLING 2024
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance
ACL 2023
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
ACL 2023
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models
NAACL 2022
HYPHEN: Hyperbolic Hawkes Attention For Text Streams
ACL 2022
Orthogonal Multi-Manifold Enriching of Directed Networks
AISTATS 2022
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading
EACL 2021
HypMix: Hyperbolic Interpolative Data Augmentation
EMNLP 2021
Modeling financial uncertainty with multivariate temporal entropy-based curriculums
UAI 2021
Quantitative Day Trading from Natural Language using Reinforcement Learning
NAACL 2021
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach
AAAI 2021
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates
IJCAI 2021
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations
EMNLP 2020
GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion
COLING 2020