Yatin Nandwani
9 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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Unstoppable
(5)
Conferences
EMNLP (2)
ICLR (2)
NAACL (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
large language model
(2)
few-shot learning
(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)
neural architecture
(1)
pointwise mutual information
(1)
integer linear programming
(1)
domain knowledge
(1)
decoding strategy
(1)
retrieval-augmented generation
(1)
deep network
(1)
Papers
Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG
NAACL 2025
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
NAACL 2025
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering
EMNLP 2024
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback
ICML 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
NIPS 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
NIPS 2019