Amirhossein Kazemnejad

According to our database, Amirhossein Kazemnejad authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

DeepSeek-R1 Thoughtology: Let's think about LLM reasoning.

Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, Milad Aghajohari, Parishad BehnamGhader, Mehar Bhatia, Aditi Khandelwal, Austin Kraft, Benno Krojer, Xing Han Lù, Nicholas Meade, Dongchan Shin, Amirhossein Kazemnejad, Gaurav Kamath, Marius Mosbach, Karolina Stanczak, Siva Reddy

Trans. Mach. Learn. Res., 2026

2025

The Markovian Thinker.

Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron C. Courville, Siva Reddy

CoRR, October, 2025

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories.

Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade, Arkil Patel, Dongchan Shin, Alejandra Zambrano, Karolina Stanczak, Peter Shaw, Christopher J. Pal, Siva Reddy

CoRR, April, 2025

DeepSeek-R1 Thoughtology: Let's about LLM Reasoning.

Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, Milad Aghajohari, Parishad BehnamGhader, Mehar Bhatia, Aditi Khandelwal, Austin Kraft, Benno Krojer, Xing Han Lù, Nicholas Meade, Dongchan Shin, Amirhossein Kazemnejad, Gaurav Kamath, Marius Mosbach, Karolina Stanczak, Siva Reddy

CoRR, April, 2025

The Promise of RL for Autoregressive Image Editing.

Saba Ahmadi, Rabiul Awal, Ankur Sikarwar, Amirhossein Kazemnejad, Ge Ya Luo, Juan A. Rodríguez, Sai Rajeswar Mudumba, Siva Reddy, Chris Pal, Benno Krojer, Aishwarya Agrawal

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

VinePPO: Refining Credit Assignment in RL Training of LLMs.

Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux

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

2024

VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment.

Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux

CoRR, 2024

2023

The Impact of Positional Encoding on Length Generalization in Transformers.

Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy

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

Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models.

Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

The Curious Case of Absolute Position Embeddings.

Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2020

Paraphrase Generation by Learning How to Edit from Samples.

Amirhossein Kazemnejad, Mohammadreza Salehi, Mahdieh Soleymani Baghshah

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020