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No exact ID match for "2602.20648" yet. Showing current high-signal papers so you can continue browsing while this paper is indexed.
Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models

Shilin Yan, Jintao Tong, Hongwei Xue, Xiaojun Tang, Yangyang Wang, Kunyu Shi · Apr 9, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 45% Moderate protocol signal Freshness: Hot Status: Fallback
Automatic Metrics Tool Use General
  • The advent of agentic multimodal models has empowered systems to actively interact with external environments.
  • Extensive evaluations demonstrate that our resulting model, Metis, reduces tool invocations by orders of magnitude while simultaneously elevating reasoning accuracy.
Open paper
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts

Haolei Xu, Haiwen Hong, Hongxing Li, Rui Zhou, Yang Zhang, Longtao Huang · Apr 9, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 38% Sparse protocol signal Freshness: Hot Status: Fallback
Expert Verification General
  • Experiments on three multimodal MoE models across six benchmarks demonstrate consistent improvements, with gains of up to 3.17% on complex visual reasoning tasks.
Open paper
Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

Addison J. Wu, Ryan Liu, Shuyue Stella Li, Yulia Tsvetkov, Thomas L. Griffiths · Apr 9, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 38% Sparse protocol signal Freshness: Hot Status: Fallback
Pairwise Preference General
  • Today's large language models (LLMs) are trained to align with user preferences through methods such as reinforcement learning.
  • We then present a suite of evaluations to examine how current models handle these tradeoffs.
Open paper

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