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Bhuwan Dhingra

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Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation

Vision2Code is introduced, a multi-domain, reference-code-free benchmark containing 539 test examples from 15 different datasets, spanning charts and plots, geometry, graphs, scientific diagrams, documents and 3D spatial scenes, which highlights the variability across domains of existing image-to-code generation models...

Ajay Vikram Periasami, Junling Wang, Bhuwan Dhingra · 3 citations
#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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