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cs.AI2026
Narrative Paradoxes in LLM Inference: Shaping Reasoning Trajectories toward Misalignment
Haoming Yang, Ke Ma, Yangbangyan Jiang +6
Explicit reasoning in large language models (LLMs) is often associated with reliability, yet it can still pose risks when a model infers harmful goals under a benign context. We id…
cs.AI2026
Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach
Ruichao Mao, Zhou Fang, Teng Guo +9
User experience (UX) centered on usability, perceived consistency, and functional clarity is fundamental to real-world user interfaces (UI). The application of multimodal large lan…