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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

This work introduces ActObs, which also supervises the observation tokens already present in each trajectory, and traces this difference to SFT: action and observation gradients rapidly become orthogonal, while action-only training leaves a large residual observation gradient and degrades environment prediction below t...

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

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