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cs.CL2025
Can Language Models Follow Multiple Turns of Entangled Instructions?
Chi Han, Xin Liu, Haodong Wang +12
Despite significant achievements in improving the instruction-following capabilities of large language models (LLMs), the ability to process multiple potentially entangled or confl…
cs.CL2025★ 1 cited
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
Yuji Zhang, Sha Li, Cheng Qian +8
Hallucination is a persistent challenge in large language models (LLMs), where even with rigorous quality control, models often generate distorted facts. This paradox, in which err…