most citedDifferentiable Tree Operations Promote Compositional Generalization

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cs.CL2024

MultiMUC: Multilingual Template Filling on MUC-4

William Gantt, Shabnam Behzad, Hannah YoungEun An +4

We introduce MultiMUC, the first multilingual parallel corpus for template filling, comprising translations of the classic MUC-4 template filling benchmark into five languages: Ara…

cs.CL20243 cited

The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts

Lingfeng Shen, Weiting Tan, Sihao Chen +6

As the influence of large language models (LLMs) spans across global communities, their safety challenges in multilingual settings become paramount for alignment research. This pap…

cs.CL2023

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles

Weiting Tan, Haoran Xu, Lingfeng Shen +5

Large language models trained primarily in a monolingual setting have demonstrated their ability to generalize to machine translation using zero- and few-shot examples with in-cont…

cs.CL2023

A Unified View of Evaluation Metrics for Structured Prediction

Yunmo Chen, William Gantt, Tongfei Chen +2

We present a conceptual framework that unifies a variety of evaluation metrics for different structured prediction tasks (e.g. event and relation extraction, syntactic and semantic…

cs.CL20231 cited

Differentiable Tree Operations Promote Compositional Generalization

Paul Soulos, Edward Hu, Kate McCurdy +4

In the context of structure-to-structure transformation tasks, learning sequences of discrete symbolic operations poses significant challenges due to their non-differentiability. T…