11 citations · 18 across the 12 of their papers we have counts for
13 papers
MixDPO: Modeling Preference Strength for Pluralistic Alignment
Saki Imai, Pedram Heydari, Anthony Sicilia +3
Preference based alignment objectives implicitly assume that all human preferences are expressed with equal strength. In practice, however, preference strength varies across indivi…
"Nothing about us without us": Perspectives of Global Deaf and Hard-of-hearing Community Members on Sign Language Technologies
Katherine Atwell, Saki Imai, Danielle Bragg +1
There is accelerating interest in sign language technologies (SLTs), with increasing attention from both industry and academia. However, the perspectives of Deaf and Hard-of-hearin…
BASIL: Bayesian Assessment of Sycophancy in LLMs
Katherine Atwell, Pedram Heydari, Anthony Sicilia +1
Sycophancy (overly agreeable or flattering behavior) poses a fundamental challenge for human-AI collaboration, particularly in high-stakes decision-making domains such as health, l…
Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI
Yuya Asano, Sabit Hassan, Paras Sharma +4
General-purpose automatic speech recognition (ASR) systems do not always perform well in goal-oriented dialogue. Existing ASR correction methods rely on prior user data or named en…
Generating Signed Language Instructions in Large-Scale Dialogue Systems
Mert İnan, Katherine Atwell, Anthony Sicilia +2
We introduce a goal-oriented conversational AI system enhanced with American Sign Language (ASL) instructions, presenting the first implementation of such a system on a worldwide m…
Studying and Mitigating Biases in Sign Language Understanding Models
Katherine Atwell, Danielle Bragg, Malihe Alikhani
Ensuring that the benefits of sign language technologies are distributed equitably among all community members is crucial. Thus, it is important to address potential biases and ine…
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community
Casey Kennington, Malihe Alikhani, Heather Pon-Barry +20
The ability to interact with machines using natural human language is becoming not just commonplace, but expected. The next step is not just text interfaces, but speech interfaces…
Multilingual Content Moderation: A Case Study on Reddit
Meng Ye, Karan Sikka, Katherine Atwell +3
Content moderation is the process of flagging content based on pre-defined platform rules. There has been a growing need for AI moderators to safeguard users as well as protect the…
APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations
Katherine Atwell, Sabit Hassan, Malihe Alikhani
Using style-transfer models to reduce offensiveness of social media comments can help foster a more inclusive environment. However, there are no sizable datasets that contain offen…
How people talk about each other: Modeling Generalized Intergroup Bias and Emotion
Venkata S Govindarajan, Katherine Atwell, Barea Sinno +3
Current studies of bias in NLP rely mainly on identifying (unwanted or negative) bias towards a specific demographic group. While this has led to progress recognizing and mitigatin…
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners
Anthony Sicilia, Katherine Atwell, Malihe Alikhani +1
Multiclass neural networks are a common tool in modern unsupervised domain adaptation, yet an appropriate theoretical description for their non-uniform sample complexity is lacking…
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error
Katherine Atwell, Anthony Sicilia, Seong Jae Hwang +1
Discourse analysis allows us to attain inferences of a text document that extend beyond the sentence-level. The current performance of discourse models is very low on texts outside…
Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach
Barea Sinno, Bernardo Oviedo, Katherine Atwell +2
Analyzing ideology and polarization is of critical importance in advancing our grasp of modern politics. Recent research has made great strides towards understanding the ideologica…