Search Results for author: Shuyue Stella Li

Found 14 papers, 6 papers with code

ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions

1 code implementation2 Jul 2024 Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanushree Mitra, David Jurgens, Yulia Tsvetkov

The framework thus highlights the pivotal role of social norms in shaping online interactions, presenting a substantial advance in both the theory and application of social norm studies in digital spaces.


MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning

1 code implementation3 Jun 2024 Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov

We develop a reliable Patient system and prototype several Expert systems, first showing that directly prompting state-of-the-art LLMs to ask questions degrades the quality of clinical reasoning, indicating that adapting LLMs to interactive information-seeking settings is nontrivial.

Question Answering

CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge

no code implementations10 Apr 2024 Yu Ying Chiu, Liwei Jiang, Maria Antoniak, Chan Young Park, Shuyue Stella Li, Mehar Bhatia, Sahithya Ravi, Yulia Tsvetkov, Vered Shwartz, Yejin Choi

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

1 code implementation27 Nov 2023 Shuyue Stella Li, Beining Xu, Xiangyu Zhang, Hexin Liu, WenHan Chao, Leibny Paola Garcia

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

no code implementations4 Nov 2023 Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen

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.

In-Context Learning Machine Translation +1

Simple yet Effective Code-Switching Language Identification with Multitask Pre-Training and Transfer Learning

no code implementations31 May 2023 Shuyue Stella Li, Cihan Xiao, Tianjian Li, Bismarck Odoom

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

Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns

no code implementations14 Nov 2022 Shuyue Stella Li, Kenton Murray

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.

Data Augmentation Sentiment Analysis

PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection

no code implementations6 Oct 2022 Shuyue Stella Li, Xiangyu Zhang, Shu Zhou, Hongchao Shu, Ruixing Liang, Hexin Liu, Leibny Paola Garcia

In this work, we propose a highly Portable Quantum Language Model (PQLM) that can easily transmit information to downstream tasks on classical machines.

Language Modelling Sentence Embedding +3

Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences

no code implementations28 Apr 2022 Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss, Kenneth N. Reid, Wolfgang Banzhaf

In this paper, we present the novel use of genetic improvement to find problem-specific optimized LLVM pass sequences.

Code Generation

Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework

1 code implementation31 Jan 2022 Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss, Kenneth N. Reid, Yuan Yuan, Wolfgang Banzhaf

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.

Evolutionary Algorithms

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