Search Results for author:
Found 11 papers, 3 papers with code
CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge
Our study reveals that CulturalTeaming's various modes of AI assistance support annotators in creating cultural questions, that modern LLMs fail at, in a gamified manner.
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extractors
There is a positive correlation between PSR scores and ASR performance, suggesting that phonetic information extracted by monolingual SSL models can be used for downstream tasks in cross-lingual settings.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles
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-context learning.
Simple yet Effective Code-Switching Language Identification with Multitask Pre-Training and Transfer Learning
Our methods include a stacked Residual CNN+GRU model and a multitask pre-training approach to use Automatic Speech Recognition (ASR) as an auxiliary task for CSLID.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
Incorporating language-specific (LS) modules is a proven method to boost performance in multilingual machine translation.
Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns
In this work, we focus on intrasentential code-mixing and propose several different Synthetic Code-Mixing (SCM) data augmentation methods that outperform the baseline on downstream sentiment analysis tasks across various amounts of labeled gold data.
A New Approach to Extract Fetal Electrocardiogram Using Affine Combination of Adaptive Filters
Compared with the state-of-the-art MSF-ANC method, CRLS shows improved performance.
PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection
In this work, we propose a highly Portable Quantum Language Model (PQLM) that can easily transmit information to downstream tasks on classical machines.
End-to-End Lyrics Recognition with Self-supervised Learning
Lyrics recognition is an important task in music processing.
Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences
In this paper, we present the novel use of genetic improvement to find problem-specific optimized LLVM pass sequences.
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework
In this paper we introduce Shackleton as a generalized framework enabling the application of linear genetic programming -- a technique under the umbrella of evolutionary algorithms -- to a variety of use cases.
