19 papers
Contrastive Training with LLM-generated Near-Misses for Robust Code-Switching Speech Recognition
Tung X. Nguyen, Hieu Minh Truong, Giang Son Nguyen +3
Code-switching (CS), the alternation between multiple languages within a single utterance, remains challenging for Automatic Speech Recognition (ASR). To address this issue, we pro…
ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark
Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen +6
Code-switching (CS), which is when Vietnamese speech uses English words like drug names or procedures, is a common phenomenon in Vietnamese medical communication. This creates chal…
PiDA: Phonetically-Informed Data Augmentation for Robust Vietnamese Speech Translation
Giang Son Nguyen, Tung X. Nguyen, Hieu Minh Truong +3
Cascaded speech translation (ST) systems suffer from error propagation when Automatic Speech Recognition (ASR) outputs incorrect transcripts. We present the first systematic catego…
PRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers
Ngoc Phan Phuoc Loc, Toan Huynh La Viet, Thanh Tran Khanh +8
The rapid growth in submissions to machine learning venues has strained the scientific peer-review system and intensified interest in LLM-based automated peer reviewers. However, h…
Position: agentic AI orchestration should be Bayes-consistent
Theodore Papamarkou, Pierre Alquier, Matthias Bauer +27
LLMs excel at predictive tasks and complex reasoning tasks, but many high-value deployments rely on decisions under uncertainty, for example, which tool to call, which expert to co…
Improving Symbolic Translation of Language Models for Logical Reasoning
Ramya Keerthy Thatikonda, Jiuzhou Han, Wray Buntine +1
The use of formal language for deductive logical reasoning aligns well with language models (LMs), where translating natural language (NL) into first-order logic (FOL) and employin…