Masoud Hashemi

27 papers A* 2B 1Misc 1Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs.
AAAI
Oluwanifemi Bamgbose, Masoud Hashemi, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav
2025 J jnl
Apriel-1.5-15b-Thinker.
CoRR
Shruthan Radhakrishna, Aman Tiwari, Aanjaneya Shukla, Masoud Hashemi, Rishabh Maheshwary, Shiva Krishna Reddy Malay, Jash Mehta, Pulkit Pattnaik, Saloni Mittal, Khalil Slimi, Kelechi Ogueji, Akintunde Oladipo, Soham Parikh, Oluwanifemi Bamgbose, Toby Liang, Ahmed Masry, Khyati Mahajan, Sai Rajeswar Mudumba, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sagar Davasam, Srinivas Sunkara, Nicolas Chapados
2025 J jnl
Apriel-Nemotron-15B-Thinker.
CoRR
Shruthan Radhakrishna, Soham Parikh, Gopal Sarda, Anil Turkkan, Quaizar Vohra, Raymond Li, Dhruv Jhamb, Kelechi Ogueji, Aanjaneya Shukla, Oluwanifemi Bamgbose, Toby Liang, Luke Kumar, Oleksiy Ostapenko, Shiva Krishna Reddy Malay, Aman Tiwari, Tara Bogavelli, Vikas Yadav, Jash Mehta, Saloni Mittal, Akshay Kalkunte, Pulkit Pattnaik, Khalil Slimi, Anirudh Sreeram, Jishnu Sethumadhavan Nair, Akintunde Oladipo, Shashank Maiya, Khyati Mahajan, Rishabh Maheshwary, Masoud Hashemi, Sai Rajeswar Mudumba, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sébastien Paquet, Sagar Davasam, Srinivas Sunkara
2025 J jnl
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA.
CoRR
Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, Shiva Krishna Reddy Malay, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Spandana Gella, Vikas Yadav
2025 — conf
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework.
NAACL (Short Papers)
Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav, Masoud Hashemi, Sathwik Tejaswi Madhusudhan
2025 J jnl
BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning.
CoRR
Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodríguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piché, Dzmitry Bahdanau, Christopher Pal, David Vázquez, Enamul Hoque, Perouz Taslakian, Sai Rajeswar, Spandana Gella
2025 — conf
Controllable Clustering with LLM-driven Embeddings.
EMNLP (Industry Track)
Kerria Pang-Naylor, Shivani Manivasagan, Aitong Zhong, Mehak Garg, Nicholas Mondello, Blake Buckner, Jonathan P. Chang, Khyati Mahajan, Masoud Hashemi, Fabio Casati
2025 J jnl
DNA Bench: When Silence is Smarter - Benchmarking Over-Reasoning in Reasoning LLMs.
CoRR
Masoud Hashemi, Oluwanifemi Bamgbose, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav
2025 B conf
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models.
COLING
Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi
2025 — conf
Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages.
NAACL (Long Papers)
Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Julian Salazar, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary
2025 J jnl
Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance.
CoRR
Bryan Etzine, Masoud Hashemi, Nishanth Madhusudhan, Sagar Davasam, Roshnee Sharma, Sathwik Tejaswi Madhusudhan, Vikas Yadav
2024 J jnl
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models.
CoRR
Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi
2024 J jnl
Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages.
CoRR
Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary
2024 J jnl
SynthCypher: A Fully Synthetic Data Generation Framework for Text-to-Cypher Querying in Knowledge Graphs.
CoRR
Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav, Masoud Hashemi, Sathwik Tejaswi Madhusudhan
2022 A* conf
PUMA: Performance Unchanged Model Augmentation for Training Data Removal.
AAAI
Ga Wu, Masoud Hashemi, Christopher Srinivasa
2022 J jnl
PUMA: Performance Unchanged Model Augmentation for Training Data Removal.
CoRR
Ga Wu, Masoud Hashemi, Christopher Srinivasa
2022 J jnl
Scalable Whitebox Attacks on Tree-based Models.
CoRR
Giuseppe Castiglione, Gavin Ding, Masoud Hashemi, Christopher Srinivasa, Ga Wu
2021 J jnl
A multi-objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm.
IET Commun.
Masoud Hashemi, Danial Javaheri, Parisa Sabbagh, Behdad Arandian, Karlo Abnoosian
2020 J jnl
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards.
CoRR
Masoud Hashemi, Ali Fathi
2018 J jnl
Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds.
CoRR
Greg Kirczenow, Masoud Hashemi, Ali Fathi, Matt Davison
2015 J jnl
Similarity Validation Based Nonlocal Means Image Denoising.
IEEE Signal Process. Lett.
Mina Sharifymoghaddam, Soosan Beheshti, Pegah Elahi, Masoud Hashemi
2014 J jnl
Adaptive Bayesian Denoising for General Gaussian Distributed Signals.
IEEE Trans. Signal Process.
Masoud Hashemi, Soosan Beheshti
2014 Misc conf
BM3D mridenoising equipped with noise invalidation technique.
ICASSP
Pegah Elahi, Soosan Beheshti, Masoud Hashemi
2011 J jnl
Mean Square Error Estimation in Thresholding.
IEEE Signal Process. Lett.
Soosan Beheshti, Masoud Hashemi, Ervin Sejdic, Tom Chau
2010 J jnl
Adaptive Noise Variance Estimation in BayesShrink.
IEEE Signal Process. Lett.
Masoud Hashemi, Soosan Beheshti
2010 J jnl
Noise Invalidation Denoising
CoRR
Soosan Beheshti, Masoud Hashemi, Xiao-Ping (Steven) Zhang, Nima Nikvand
2010 J jnl
Noise Invalidation Denoising.
IEEE Trans. Signal Process.
Soosan Beheshti, Masoud Hashemi, Xiao-Ping (Steven) Zhang, Nima Nikvand