37 citations · 76 across the 10 of their papers we have counts for
15 papers
What Limits Us? Analyzing Self-Reported Limitations in NLP Research
Tawan Thaepprasit, Peeranuth Kehasukcharoen, Ding Wang +3
Since late 2022, a Limitations section has become mandatory at many top-tier NLP conferences. The growing number of accepted papers at these venues has resulted in a vast corpus of…
Towards Geo-Culturally Grounded LLM Generations
Piyawat Lertvittayakumjorn, David Kinney, Vinodkumar Prabhakaran +2
Generative large language models (LLMs) have demonstrated gaps in diverse cultural awareness across the globe. We investigate the effect of retrieval augmented generation and searc…
Can Capacitive Touch Images Enhance Mobile Keyboard Decoding?
Piyawat Lertvittayakumjorn, Shanqing Cai, Billy Dou +2
Capacitive touch sensors capture the two-dimensional spatial profile (referred to as a touch heatmap) of a finger's contact with a mobile touchscreen. However, the research and des…
Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation
Susan Lin, Jeremy Warner, J. D. Zamfirescu-Pereira +8
Dictation enables efficient text input on mobile devices. However, writing with speech can produce disfluent, wordy, and incoherent text and thus requires heavy post-processing. Th…
Label-Aware Automatic Verbalizer for Few-Shot Text Classification
Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul
Prompt-based learning has shown its effectiveness in few-shot text classification. One important factor in its success is a verbalizer, which translates output from a language mode…
Towards Explainable Evaluation Metrics for Machine Translation
Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva +3
Unlike classical lexical overlap metrics such as BLEU, most current evaluation metrics for machine translation (for example, COMET or BERTScore) are based on black-box large langua…