Balasubramaniam Srinivasan
15 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (22) π§ Keyword Pioneer
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Hot Topic Early Bird
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Interdisciplinary Bridge
π₯
Mega-Team
(21)
π₯
Unstoppable
(5)
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Century Club
(13)
Conferences
ICLR (6)
EMNLP (4)
EACL (2)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
model selection
(1)
importance weighting
(1)
natural language processing
(1)
graph classification
(1)
maximum coverage
(1)
in-context learning
(1)
natural language generation
(1)
prompt engineering
(1)
text generation
(1)
information retrieval
(1)
graph representation
(1)
efficient computing
(1)
posterior distribution
(1)
bayesian inference
(1)
uncertainty sampling
(1)
monte carlo tree search
(1)
autoregressive model
(1)
text prompt
(1)
few-shot learning
(1)
Papers
Diffusion Language Model Inference with Monte Carlo Tree Search
EACL 2026
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
EACL 2026
DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery
NAACL 2025
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
EMNLP 2025
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
ICLR 2024
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
ICLR 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
EMNLP 2024
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
ICLR 2024
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
NIPS 2023
NameGuess: Column Name Expansion for Tabular Data
EMNLP 2023
Equivariant Subgraph Aggregation Networks
ICLR 2022
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
ICLR 2020
Relational Pooling for Graph Representations
ICML 2019
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
ICLR 2019