19 citations · 28 across the 16 of their papers we have counts for
4 papers · 1 filter
Structure-Aware Path Inference for Neural Finite State Transducers
Weiting Tan, Chu-cheng Lin, Jason Eisner
Neural finite-state transducers (NFSTs) form an expressive family of neurosymbolic sequence transduction models. An NFST models each string pair as having been generated by a laten…
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…
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
Haoran Xu, Weiting Tan, Shuyue Stella Li +4
Incorporating language-specific (LS) modules is a proven method to boost performance in multilingual machine translation. This approach bears similarity to Mixture-of-Experts (MoE)…
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
Lingfeng Shen, Weiting Tan, Boyuan Zheng +1
With growing capabilities of large language models, prompting them has become the dominant way to access them. This has motivated the development of strategies for automatically se…