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cs.CL2026
Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making
Amirhosein Ghasemabadi, Ruichen Chen, Bahador Rashidi +1
Large language models are increasingly deployed as agents, but reliable agentic behavior requires more than next-token prediction. At inference time, it is preferred that an agent…
cs.CV2026
RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment
Liyao Jiang, Ruichen Chen, Chao Gao +1
Recent text-to-image (T2I) diffusion models achieve remarkable realism, yet faithful prompt-image alignment remains challenging, particularly for complex prompts with multiple obje…
cs.CL2026
Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
Amirhosein Ghasemabadi, Di Niu
Large language models (LLMs) generate fluent and complex outputs but often fail to recognize their own mistakes and hallucinations. Existing approaches typically rely on external j…