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cs.AI2026
Hidden Messages Between Diffusion Language Model Agents: Causal Evidence for Latent Communication
Alan-Barsag Gazzaev, Alexey Gavrilov, Sergey Muravyov +1
Diffusion language models form answers through a sequence of revisable continuous states, but multi-agent systems usually discard those states and make agents communicate only afte…
cs.AI2026
EmoMed: An Emotionally-Aware Agent for Multimodal Medical Support with Real-Time Information Retrieval
Ivan Nasonov, Nikita Glazkov, Ivan Makovetskiy +4
We present EmoMed - a multimodal medical consultation agent that adapts its responses based on users' emotional states while maintaining clinical accuracy. The system processes tex…
cs.AI2026
From Monolithic to Modular: Segment-level Automatic Prompt Optimization
Nikita Kulin, Viktor Zhuravlev, Artur Khairullin +4
Automatic Prompt Optimization (APO) often rewrites prompts monolithically, which can improve one behavior while degrading others. We present SAPO, a segment-level APO method that d…