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P. van der Putten

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#artificial intelligence Preprint Aug 2026

DTOC: Dynamic Tool Output Compression for Adaptive Context Management in AI Agents

As agent capabilities have grown, practical limitations increasingly stem from constrained context windows rather than model capacity. Common strategies, such as truncation, heuristic aging, and lossy summarization, may discard useful information or introduce hallucination risk. To address these challenges, we propose...

Abhay Chaturvedi, Shreya Bhattacharya, Rashmika Gopalkrishnan et al. · 0 citations
Preprint Aug 2026

Evaluating Theory of Mind in Reasoning Models: Robustness over Reasoning

Large language models (LLMs) have recently shown strong performance on Theory of Mind (ToM) tests, prompting debate about the nature and validity of the underlying capabilities. At the same time, reasoning-oriented LLMs trained via reinforcement learning with verifiable rewards have demonstrated notable improvements ac...

Ian B. de Haan, P. van der Putten, Max van Duijn · 0 citations

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