4 citations · 4 across the 3 of their papers we have counts for
3 papers
SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling
Krishna C. Puvvada, Faisal Ladhak, Santiago Akle Serrano +8
We present a decoder-only Transformer architecture that robustly generalizes to sequence lengths substantially longer than those seen during training. Our model, SWAN-GPT, interlea…
L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution
Simeng Sun, Cheng-Ping Hsieh, Faisal Ladhak +3
Complex reasoning tasks often rely on the ability to consistently and accurately apply simple rules across incremental steps, a foundational capability which we term "level-0" reas…
Universal Model in Online Customer Service
Shu-Ting Pi, Cheng-Ping Hsieh, Qun Liu +1
Building machine learning models can be a time-consuming process that often takes several months to implement in typical business scenarios. To ensure consistent model performance…