Rezaei, MohammadHossein

MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers

Bandi, C., Dumitru, R.-G., Hertzberg, B., Agarwal, D., Boo, G., Polakam, T., Hassaan, S., Da, J., Kim, H., Gupta, V., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Reward Hacking in Rubric-Based Reinforcement Learning

Mahmoud, A., Rezaei, M., Wang, Z., Gunjal, A., Liu, B., & He, Y. (2026) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0

Rubric-Guided Self-Distillation: Post-Training Without Rubric Verifiers

Rezaei, M., Mahmoud, A., Wang, Z., Tyagi, U., Gosai, A., Dumitru, R.-G., Sabharwal, A., Liu, B., & He, Y. (2026) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 0

Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR

Tyagi, U., Guo, X., Rezaei, M., George, D., Mahmoud, A., Lee, J., Liu, B., & He, Y. (2026) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0