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cs.CL2025
Detecting Hallucinations in Authentic LLM-Human Interactions
Yujie Ren, Niklas Gruhlke, Anne Lauscher
As large language models (LLMs) are increasingly applied in sensitive domains such as medicine and law, hallucination detection has become a critical task. Although numerous benchm…
cs.LG2025
Semantic Scheduling for LLM Inference
Wenyue Hua, Dujian Ding, Yile Gu +4
Conventional operating system scheduling algorithms are largely content-ignorant, making decisions based on factors such as latency or fairness without considering the actual inten…