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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.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…
cs.CL2025
iCLP: Large Language Model Reasoning with Implicit Cognition Latent Planning
Sijia Chen, Di Niu
Large language models (LLMs), when guided by explicit textual plans, can perform reliable step-by-step reasoning during problem-solving. However, generating accurate and effective…