2 papers
cs.CL2026
Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO
Prakhar Gupta, Vaibhav Gupta
Language models can ignore prompt evidence when it conflicts with memorized knowledge. Post-training can make models follow such evidence more reliably, but it is unclear whether t…
cs.LG2025
Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order
Prakhar Gupta, Vaibhav Gupta
Post-training with reinforcement learning (RL) typically optimizes a single scalar objective and ignores structure in how solutions are produced. We ask whether a scalar hint towar…