Balasubramaniam Srinivasan
15 papers · 2019–2026 · 6 venues · across top CS/AI venues
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large language model
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graph representation
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graph neural network
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sequence modeling
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bayesian inference
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matrix factorization
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model selection
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transductive learning
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graph classification
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hypergraph learning
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maximum coverage
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in-context learning
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natural language generation
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prompt engineering
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information retrieval
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text generation
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Papers
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
EACL 2026
Diffusion Language Model Inference with Monte Carlo Tree Search
EACL 2026
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery
NAACL 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
EMNLP 2025
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
ICLR 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
EMNLP 2024
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
ICLR 2024
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
ICLR 2024
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
NeurIPS 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
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
ICLR 2019
Relational Pooling for Graph Representations
ICML 2019