4 papers
Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts
Yi-Chang Chen, Feng-Ting Liao, Da-shan Shiu +1
Modern reasoning language models generate dense, sequential chain-of-thought traces implicitly assuming that every token contributes and that steps must be consumed in order. We ch…
A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback
Joseph Lazzaro, Davide Buffelli, Da-shan Shiu +1
Preference feedback, in the form of pairwise comparisons rather than scalar scores, has seen increasing use in applications such as human-, laboratory-, and expert-in-the-loop desi…
Taiwan Safety Benchmark and Breeze Guard: Toward Trustworthy AI for Taiwanese Mandarin
Po-Chun Hsu, Meng-Hsi Chen, Tsu Ling Chao +2
Global safety models exhibit strong performance across widely used benchmarks, yet their training data rarely captures the cultural and linguistic nuances of Taiwanese Mandarin. Th…
Breeze Taigi: Benchmarks and Models for Taiwanese Hokkien Speech Recognition and Synthesis
Yu-Siang Lan, Chia-Sheng Liu, Yi-Chang Chen +5
Taiwanese Hokkien (Taigi) presents unique opportunities for advancing speech technology methodologies that can generalize to diverse linguistic contexts. We introduce Breeze Taigi,…