Publications

See Google Scholar for citation counts.

Selected Publications

A curated set of papers that best represent my current research direction in compound AI, multi-agent systems, and graph–language model integration.

  • Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards. S. Wu, P. Sarthi, S. Zhao, A. Lee, H. Shandilya, A. M. Grobelnik, N. Choudhary, K. Subbian, L. Zhang, D. Yang, J. Zou, J. Leskovec. ICLR 2026.
    A unified reward framework that aligns local component rewards in multi-agent / compound AI systems with end-to-end task performance.  [pdf] [arXiv]

  • AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. M. Yang, N. Choudhary, J. Du, E. W. Huang, P. S. Yu, K. Subbian, D. Koutra. WWW 2026.
    LLM-agent recommendation that leverages commonsense reasoning to surface implicit substitute / complement relations and enables full-catalog ranking without item hallucination.  [arXiv]

  • Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. N. Choudhary, N. Rao, C. K. Reddy. NeurIPS 2023.
    First scalable hyperbolic GNN framework using meta-learning, generalizing to industrial-scale graphs without per-graph retraining.  [pdf] [code]

  • Complex Logical Reasoning over Knowledge Graphs using Large Language Models. N. Choudhary, C. K. Reddy. arXiv 2023.
    LLM-driven decomposition of first-order logic queries over KGs, bridging neural-symbolic reasoning with foundation models.  [pdf] [code]

  • An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. N. Choudhary, E. W. Huang, K. Subbian, C. K. Reddy. WWW Companion 2024.
    Production-deployed graph–LM ensemble for Amazon Search relevance; open-sourced via amazon-science.  [pdf] [code]

  • Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. N. Choudhary, N. Rao, S. Katariya, K. Subbian, C. K. Reddy. NeurIPS 2021.
    Gaussian-distribution-based entity embeddings enabling logical reasoning with uncertainty over KGs.  [pdf] [code]

  • ANTHEM: Attentive Hyperbolic Entity Model for Product Search. N. Choudhary, N. Rao, S. Katariya, K. Subbian, C. K. Reddy. WSDM 2022.
    Hyperbolic entity-attention model for e-commerce product retrieval; basis for US Patent 11,810,174.  [pdf] [code]

All Publications by Year

[2026]  [2025]  [2024]  [2023]  [2022]  [2021]  [2019]  [2018]  [2016]  [2015]  [2014] 

2026

AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents.
Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra.
Proceedings of the ACM Web Conference (WWW), 2026.
[BibTeX]    [arXiv]    [DOI]

Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards.
Shirley Wu, Parth Sarthi, Shiyu Zhao, Aaron Lee, Herumb Shandilya, Adrian Mladenic Grobelnik, Nurendra Choudhary, Karthik Subbian, Linjun Zhang, Diyi Yang, James Zou, Jure Leskovec.
The Fourteenth International Conference on Learning Representations (ICLR), 2026.
[BibTeX]    [pdf]    [arXiv]

2025

GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data.
Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun.
KDD Workshop on Large Language Models and Graphs (LLM4Graph), 2025. Preprint: arXiv:2410.11235.
[BibTeX]    [pdf]

RecLAIF: Reinforcement Learning from AI Feedback for Recommendation Systems.
Xiaoxin He, Nurendra Choudhary, Jieyi Jiang, Edward W. Huang, Bryan Hooi, Xavier Bresson, Karthik Subbian.
2025.
[BibTeX]    [pdf]

Flash drought prediction using deep learning.
Pratik Elias Jacob, Nurendra Choudhary, Abhirup Dikshit, Jason P Evans, Biswajeet Pradhan, Alfredo R Huete.
Environmental Research Letters, June 2025.
[BibTeX]    [pdf]

An Efficient Plugin Method for Metric Optimization of Black‑Box Models.
Siddartha Devic, Nurendra Choudhary, Anirudh Srinivasan, Sahika Genc, Branislav Kveton, Gaurush Hiranandani.
CoRR preprint abs/2503.02119, March 2025.
[BibTeX]    [pdf]

2024

Large Language Model Guided Graph Clustering.
Puja Trivedi, Nurendra Choudhary, Eddie Huang, Vassilis N. Ioannidis, Karthik Subbian & Danai Koutra.
LoG 2024.
[BibTeX]    [pdf]

Context‑Aware Clustering using Large Language Models.
Sahika Tipirneni, Rohan Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, et al.
arXiv preprint arXiv:2405.00988, May 2024.
[BibTeX]    [pdf]

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce.
Nurendra Choudhary, Edward W Huang, Karthik Subbian, and Chandan K. Reddy.
Companion Proceedings of the Web Conference (WWW Companion) 2024.
[BibTeX]    [pdf]    [code]

2023

Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach.
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy.
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
[BibTeX]    [pdf]    [slides]    [code]

A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks.
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K Reddy.
Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023.
[BibTeX]    [pdf]    [code]

Complex Logical Reasoning over Knowledge Graphs using Large Language Models.
Nurendra Choudhary, Chandan K Reddy.
(ArXiv), 2023.
[BibTeX]    [pdf]    [code]

Multimodal Representation Learning for Textual Reasoning over Knowledge Graphs.
Nurendra Choudhary.
Doctoral Thesis, 2023.
[BibTeX]    [pdf]

2022

Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance.
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy.
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
[BibTeX]    [pdf]    [code]

ANTHEM: Attentive Hyperbolic Entity Model for Product Search.
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy.
15th ACM International Conference on Web Search and Data Mining (WSDM), 2022.
[BibTeX]    [pdf]    [code]

GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries.
Anoushka Vyas, Nurendra Choudhary, Mehrdad Khatir, Chandan K. Reddy.
Companion Proceedings of the Web Conference (WWW Companion), 2022.
[BibTeX]    [pdf]    [code]

Self-supervised Short Text Modeling through Auxiliary Context Generation.
Nurendra Choudhary, Charu C. Aggarwal, Karthik Subbian, Chandan K. Reddy.
ACM Transactions on Intelligent Systems and Technology (TIST), 2022.
[BibTeX]    [pdf]    [code]

Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations.
Nurendra Choudhary, Chandan K. Reddy.
arXiv preprint arXiv:2206.03610, 2022.
[arXiv]

2021

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy.
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021.
[BibTeX]    [pdf]    [code]

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy.
Proceedings of the Web Conference (WWW), 2021.
[BibTeX]    [pdf]    [code]

2019

Learning Representations for Text Classification of Indian Languages.
Nurendra Choudhary
Masters Thesis, 2019.
[BibTeX]    [pdf]

2018

Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction .
Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao, Manish Shrivastava
27th International Conference on Computational Linguistics (COLING), 2018.
[BibTeX]    [pdf]

Neural network architecture for credibility assessment of textual claims.
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), 2018.
Best paper Award at CICLING 2018.
[BibTeX]    [pdf]

Contrastive learning of emoji-based representations for resource-poor languages.
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), 2018.
[BibTeX]    [pdf]

Automatic normalization of word variations in code-mixed social media text.
Rajat Singh, Nurendra Choudhary, Ishita Bindlish, Manish Shrivastava
19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), 2018.
[BibTeX]    [pdf]

Sentiment analysis of code-mixed languages leveraging resource rich languages.
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), 2018.
[BibTeX]    [pdf]

Emotions are universal: Learning sentiment based representations of resource-poor languages using siamese networks.
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), 2018.
[BibTeX]    [pdf]

Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages.
Nurendra Choudhary, Rajat Singh, Manish Shrivastava
Workshop on Humanizing AI (HAI), International Joint Conference on Artificial Intelligence '18, 2018.
[BibTeX]    [pdf]

2016

Enhanced Sentiment Classification of Telugu Text using ML Techniques.
Sandeep Sricharan Mukku, Nurendra Choudhary, Radhika Mamidi
Sentiment Analysis where AI meets Psychology (SAAIP), International Joint Conference on Artificial Intelligence '16, 2016.
[BibTeX]    [pdf]

2015

Sentiment Analysis and Education.
Sandeep Sricharan Mukku, Nurendra Choudhary, Radhika Mamidi
International Conference on Language Learning and Teaching (ICLLT), 2015.
[BibTeX]    [pdf]

2014

Any Time Virtual Labs: On Portable Media and as Debian Packages.
Nurendra Choudhary, Venkatesh Choppella, Raghu Reddy, Thirumal Ravula
IEEE Sixth International Conference on Technology for Education (T4E), 2014.
[BibTeX]    [pdf]

Large Scale Web Page Optimization of Virtual Labs.
Jatin Agarwal, Utkarsh Rastogiy, Prateek Pandey, Nurendra Choudhary, Venkatesh Choppella, Raghu Reddy IEEE Sixth International Conference on Technology for Education (T4E), 2014.
[BibTeX]    [pdf]