Author

Rashmi Gangadharaiah

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Preprint Sep 2026

BoundaryMORPH: Budgeted Reranking via Active Set Selection for Diffuse Retrieval

Open-ended queries in modern Retrieval-Augmented Generation (RAG) are increasingly"diffuse,"requiring a large set of documents to be assembled into a finite LLM context window. To ensure retrieval quality, systems use fast dual-encoders and more expensive cross-encoders (CEs) to score candidates. However, the CE budget...

Eylon Caplan, Shamik Roy, S. Dasgupta et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL

Agent trajectories record what an agent does and what happens next. Yet standard supervised fine-tuning (SFT) applies loss only to agent-authored action tokens, using environment observations as context but not as prediction targets. We ask whether this convention provides the best initialization for subsequent reinfor...

Juzheng Zhang, Disha Makhija, Manoj Ghuhan Arivazhagan et al. · 0 citations