Amirhossein Kazemnejad

14 papers A* 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepSeek-R1 Thoughtology: Let's think about LLM reasoning.
Trans. Mach. Learn. Res.
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
2025 J jnl
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories.
CoRR
Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade, Arkil Patel, Dongchan Shin, Alejandra Zambrano, Karolina Stanczak, Peter Shaw, Christopher J. Pal, Siva Reddy
2025 J jnl
DeepSeek-R1 Thoughtology: Let's about LLM Reasoning.
CoRR
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
2025 J jnl
The Markovian Thinker.
CoRR
Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron C. Courville, Siva Reddy
2025 J jnl
The Promise of RL for Autoregressive Image Editing.
CoRR
Saba Ahmadi, Rabiul Awal, Ankur Sikarwar, Amirhossein Kazemnejad, Ge Ya Luo, Juan A. Rodríguez, Sai Rajeswar, Siva Reddy, Christopher Pal, Benno Krojer, Aishwarya Agrawal
2025 A* conf
VinePPO: Refining Credit Assignment in RL Training of LLMs.
ICML
Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux
2024 J jnl
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment.
CoRR
Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux
2023 — conf
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models.
EMNLP (Findings)
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
2023 J jnl
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models.
CoRR
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
2023 A* conf
The Impact of Positional Encoding on Length Generalization in Transformers.
NeurIPS
Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy
2023 J jnl
The Impact of Positional Encoding on Length Generalization in Transformers.
CoRR
Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy
2022 — conf
The Curious Case of Absolute Position Embeddings.
EMNLP (Findings)
Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
2022 J jnl
The Curious Case of Absolute Position Embeddings.
CoRR
Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
2020 A* conf
Paraphrase Generation by Learning How to Edit from Samples.
ACL
Amirhossein Kazemnejad, Mohammadreza Salehi, Mahdieh Soleymani Baghshah