Principal Component Analysis and Entropy-based Selection for the Improvement of Bug Triage. - Vaskar Nath; David Sheldon; John Alphonso-Gibbs (ICMLA, 2021)

Learning Goal-Conditioned Representations for Language Reward Models. - Vaskar Nath; Dylan Slack; Jeff Da; Yuntao Ma; Hugh Zhang; Spencer Whitehead; Sean Hendryx (NeurIPS, 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)

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; William Song; Vaskar Nath; Ziwen Han; Sean M. Hendryx; Summer Yue; Hugh Zhang (ICLR, 2025)

ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark. - Vaskar Nath; Pranav Raja; Claire Yoon; Sean Hendryx (CoRR, 2025)

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models. - Vaskar Nath; Elaine Lau; Anisha Gunjal; Manasi Sharma; Nikhil Baharte; Sean Hendryx (CoRR, 2025)

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains. - Anisha Gunjal; Anthony Wang; Elaine Lau; Vaskar Nath; Bing Liu; Sean Hendryx (CoRR, 2025)