Bercovich, Ivan

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Merrill, M. A., Shaw, A. G., Carlini, N., Li, B., Raj, H., Bercovich, I., Shi, L., Shin, J. Y., Walshe, T., Buchanan, E. K., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 392

SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?

Desai, R., Hu, J., Cabezas, J., Harsola, N., Shukla, P., Chaim, R. B., Assadi, A. E., Kamath, O. M., Faldu, F., Hebbar, P., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Agents of Change: Self-Evolving LLM Agents for Strategic Planning

Belle, N., Barnes, D., Amayuelas, A., Bercovich, I., Wang, X. E., & Wang, W. (2025) · arXiv

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 0

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty

Antoniades, A., Nathani, D., Saha, R., Amayuelas, A., Bercovich, I., Weng, Z., Baskaran, V., Bhatia, K., & Wang, W. Y. (2026) · arXiv

Evolutionary Algorithms and ApplicationsReinforcement Learning in Robotics

Cited by 0