Yatin Nandwani
9 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
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Topic Evolution
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Unstoppable · Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Deep Learning
(6)
Machine Learning
(6)
Core AI
(6)
Optimization & Theory
(4)
Natural Language Processing
(2)
Architectures
(2)
Generation
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Techniques
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Learning Paradigms
(1)
Keywords
large language model
(2)
catastrophic forgetting
(1)
neural architecture
(1)
symbolic reasoning
(1)
mathematical reasoning
(1)
self-supervised learning
(1)
data augmentation
(1)
prompt engineering
(1)
chain-of-thought reasoning
(1)
dialogue generation
(1)
named entity recognition
(1)
text generation
(1)
semantic role labeling
(1)
constrained optimization
(1)
few-shot learning
(1)
graph coloring
(1)
pointwise mutual information
(1)
integer linear programming
(1)
domain knowledge
(1)
reinforcement learning
(1)
Papers
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
NAACL 2025
Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG
NAACL 2025
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback
ICML 2024
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering
EMNLP 2024
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs
EMNLP 2023
A Solver-free Framework for Scalable Learning in Neural ILP Architectures
NeurIPS 2022
Neural Models for Output-Space Invariance in Combinatorial Problems
ICLR 2022
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
ICLR 2021
A Primal Dual Formulation For Deep Learning With Constraints
NeurIPS 2019