Vaskar Nath

According to our database, Vaskar Nath authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Bing Liu, Sean Hendryx

CoRR, July, 2025

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models.

Vaskar Nath, Elaine Lau, Anisha Gunjal, Manasi Sharma, Nikhil Baharte, Sean Hendryx

CoRR, June, 2025

ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark.

Vaskar Nath, Pranav Raja, Claire Yoon, Sean Hendryx

CoRR, January, 2025

Planning in Natural Language Improves LLM Search for Code Generation.

Evan Z. Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, William Song, Vaskar Nath, Ziwen Han, Sean M. Hendryx, Summer Yue, Hugh Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Revisiting the Superficial Alignment Hypothesis.

Mohit Raghavendra, Vaskar Nath, Sean Hendryx

CoRR, 2024

Planning In Natural Language Improves LLM Search For Code Generation.

Evan Z. Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, Will Song, Vaskar Nath, Ziwen Han, Sean Hendryx, Summer Yue, Hugh Zhang

CoRR, 2024

Learning Goal-Conditioned Representations for Language Reward Models.

Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

Principal Component Analysis and Entropy-based Selection for the Improvement of Bug Triage.

Vaskar Nath, David Sheldon, John Alphonso-Gibbs

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021