6 citations · 14 across the 4 of their papers we have counts for
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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.CL2022★ 4 cited
Limitations of Language Models in Arithmetic and Symbolic Induction
Jing Qian, Hong Wang, Zekun Li +2
Recent work has shown that large pretrained Language Models (LMs) can not only perform remarkably well on a range of Natural Language Processing (NLP) tasks but also start improvin…