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Aradhye Agarwal

2 accepted papers

2026

Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use

ICML 2026poster

Agentic language models operate in a fundamentally different safety regime than chat models: they must plan, call tools, and execute long-horizon actions where a single misstep, such as accessing files or entering credentials, can cause irreversible harm. Existing alignment methods, largely optimize…

Cited by 0SourceScholar
2024

ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation

CVPR 2024poster

In the absence of parallax cues a learning-based single image depth estimation (SIDE) model relies heavily on shading and contextual cues in the image. While this simplicity is attractive it is necessary to train such models on large and varied datasets which are difficult to capture. It has been sh…