I'm a PhD student at Polytechnique Montréal and MILA (Québec AI Institute), advised by Dr. Amal Zouaq and Dr. Christopher J. Pal. My research focuses on semi-parametric approaches for eliciting complex reasoning from language models — exploring how non-parametric memory modules can extend what LLMs can reliably do.

A recurring theme in my work is offloading the burden of precise factual recall from parametric (model weights) to non-parametric (retrieval-based) memory. This line of thinking has led to work on reducing hallucinations in structured generation tasks like SPARQL query generation, and on improving geometric reasoning in vision-language models through modular code execution paired with retrieval-augmented function libraries.

Before my PhD, I was a research assistant at IIT Bombay working with Dr. Soumen Chakrabarti on temporal question answering. Prior to that, I spent several years as a graduate student at IISc Bangalore in Dr. Partha Talukdar's MALL Lab, where I worked on knowledge graph embeddings and deep reinforcement learning for NLP.

2026
Reducing hallucinations in language model-based SPARQL query generation using post-generation memory retrieval
Aditya Sharma, Christopher J. Pal, Amal Zouaq
EACL Findings 2026
2025
GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models
Aditya Sharma, Aman Dalmia, Mehran Kazemi, Amal Zouaq, Christopher J. Pal
NAACL Findings 2025
2025
Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
Luis Lara, ZhiHao Luo, Aristides Milios, Aditya Sharma, Ge Ya Luo, Christopher Beckham, Florian Golemo, Christopher J. Pal
NeurIPS 2025 · UrbanAI Workshop
2023
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha Talukdar, Soumen Chakrabarti
EACL 2023 arXiv
2018
Towards Understanding the Geometry of Knowledge Graph Embeddings
Chandrahas, Aditya Sharma, Partha Talukdar
ACL 2018 PDF
2017
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods
Aditya Sharma, Zarana Parekh, Partha Talukdar
EMNLP 2017 PDF
Jan 2026
Paper on post-generation memory retrieval for SPARQL generation accepted at EACL Findings 2026.
Dec 2025
Floor plan generation paper presented at the UrbanAI Workshop, NeurIPS 2025.
Apr 2025
GeoCoder accepted at NAACL Findings 2025.
Aug 2023
Started PhD at Polytechnique Montréal / MILA, advised by Dr. Amal Zouaq and Dr. Christopher J. Pal.
Jan 2023
TwiRGCN accepted at EACL 2023.
Apr 2018
KG geometry paper accepted at ACL 2018.
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