Parshin Shojaee

According to our database, Parshin Shojaee authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road.

Ngoc-Hieu Nguyen, Parshin Shojaee, Phuc Minh Nguyen, Nan Zhang, Chandan K. Reddy, Khoa D. Doan, Rui Zhang

CoRR, May, 2026

Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context.

Keivan Alizadeh, Parshin Shojaee, Minsik Cho, Mehrdad Farajtabar

CoRR, March, 2026

SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery.

Sanchit Kabra, Shobhnik Kriplani, Parshin Shojaee, Chandan K. Reddy

Trans. Mach. Learn. Res., 2026

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers.

Nikhil Abhyankar, Parshin Shojaee, Chandan K. Reddy

Trans. Mach. Learn. Res., 2026

Discovering heuristics with Large Language Models (LLMs) for mixed-integer programs: Single-machine scheduling.

Ibrahim Oguz Çetinkaya, I. Esra Büyüktahtakin, Parshin Shojaee, Chandan K. Reddy

Comput. Oper. Res., 2026

2025

Evaluating Large Language Models in Scientific Discovery.

Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan

CoRR, December, 2025

SURFACEBENCH: Can Self-Evolving LLMs Find the Equations of 3D Scientific Surfaces?

Sanchit Kabra, Shobhnik Kriplani, Parshin Shojaee, Chandan K. Reddy

CoRR, November, 2025

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh-Vahid, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models.

Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.

Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories.

Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Federated Retrieval Augmented Generation for Multi-Product Question Answering.

Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges.

Chandan K. Reddy, Parshin Shojaee

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training.

Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Execution-based Code Generation using Deep Reinforcement Learning.

Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy

Trans. Mach. Learn. Res., 2023

Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting.

Zibo Liu, Parshin Shojaee, Chandan K. Reddy

Trans. Mach. Learn. Res., 2023

Transformer-based Planning for Symbolic Regression.

Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adaptively Weighted Top-N Recommendation for Organ Matching.

Parshin Shojaee, Xiaoyu Chen, Ran Jin

ACM Trans. Comput. Heal., 2022

Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet.

Yingyan Zeng, Parshin Shojaee, Syed Hasib Akhter Faruqui, Adel Alaeddini, Ran Jin

Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet.

Parshin Shojaee, Yingyan Zeng, Muntasir Wahed, Avi Seth, Ran Jin, Ismini Lourentzou

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Deep Neural Network Pipelines for Multivariate Time Series Classification in Smart Manufacturing.

Parshin Shojaee, Yingyan Zeng, Xiaoyu Chen, Ran Jin, Xinwei Deng, Chuck Zhang

Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020

Planar Maximum Coverage Location Problem with Partial Coverage, Continuous Spatial Demand, and Adjustable Quality of Service.

Manish Bansal, Parshin Shojaee

CoRR, 2020