Author

Prasang Gupta

2 papers indexed here

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Review Oct 2026

MetaShare: Failure-Aware Collective Self-Improvement for Open-Ended Agents

Humans often learn fastest not by repeating success, but by remembering which failures not to repeat. Open-ended self-improving agents can share experience across lineages, as in GEA, or edit their own improvement mechanisms, as in DGM-Hyperagents, yet failed improvement attempts are rarely retained as reusable cross-b...

Vishal Bhutani, Prasang Gupta, Sumanth Chundru et al. · 0 citations

#artificial intelligence Review Oct 2026

Verdicts Without Annotated Evidence: Rejection Sampling or Label-Only Post-Training for Evidence Recovery?

This work measures how much of that evidence a small language model can recover when it is post-trained on the verdicts alone, with no human evidence labels at any stage, to improve the evidence without anyone annotating it.

Nishanth Nayakanti, Prasang Gupta, Ashutosh Bilthare et al. · 0 citations