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Bhuwan Dhingra

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#artificial intelligence Preprint Oct 2026

Rethinking Self-Distillation for Multi-Teacher Capability Merging

Combining capabilities of multiple expert models trained starting from the same base checkpoint has become increasingly common in frontier language-model post-training. Recent trends suggest that multi-teacher on-policy distillation (MOPD) outperforms conventional off-policy methods. However, despite the higher inferen...

Roy Xie, Dan Friedman, Feng Nan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Constructing Challenging Browser-Use Tasks by Controlled Environment Interventions

This paper evaluates six strong browser-use agents, three GUI-only agents that see only screenshots, and humans, evaluating the construction of challenging instances from tasks agents already solve, turning difficulty into a programmable property of the environment.

Xun-Jian Yin, Tian-Chen Guan, Jin-Ao Wang et al. · 0 citations
Jul 2026

PRO-LONG: Programmatic Memory Enables Long-Horizon Reasoning

Pro-LONG, a minimal context management framework built around programmatic memory for LLM agents in long-horizon, exploratory settings, is proposed, which addresses the tradeoff of preserving more information makes retrieving relevant details less tractable.

A. Fox, Jun-Lin Wang, P. Rosu et al. · 2 citations · ⚡1

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