3 citations · 7 across the 7 of their papers we have counts for
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cs.CL2023
AMR Parsing with Causal Hierarchical Attention and Pointers
Chao Lou, Kewei Tu
Translation-based AMR parsers have recently gained popularity due to their simplicity and effectiveness. They predict linearized graphs as free texts, avoiding explicit structure m…
cs.CL2023★ 3 cited
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
Tianyu Yu, Chengyue Jiang, Chao Lou +12
Large language models (LLMs) have shown impressive ability for open-domain NLP tasks. However, LLMs are sometimes too footloose for natural language understanding (NLU) tasks which…
cs.CL2023
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints
Chao Lou, Kewei Tu
Neural QCFG is a grammar-based sequence-tosequence (seq2seq) model with strong inductive biases on hierarchical structures. It excels in interpretability and generalization but suf…