Cover Image

Generating Signed Language Instructions in Large-Scale Dialogue Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	İnan, Mert, Atwell, Katherine, Sicilia, Anthony, Quandt, Lorna, Alikhani, Malihe
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Computers and Society Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accounting for Sycophancy in Language Model Uncertainty Estimation
by: Sicilia, Anthony, et al.
Published: (2024)

Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
by: İnan, Mert, et al.
Published: (2025)

SiLVERScore: Semantically-Aware Embeddings for Sign Language Generation Evaluation
by: Imai, Saki, et al.
Published: (2025)

Modeling Intensification for Sign Language Generation: A Computational Approach
by: İnan, Mert, et al.
Published: (2022)

Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems
by: İnan, Mert, et al.
Published: (2025)

Including Facial Expressions in Contextual Embeddings for Sign Language Generation
by: Viegas, Carla, et al.
Published: (2022)

"Nothing about us without us": Perspectives of Global Deaf and Hard-of-hearing Community Members on Sign Language Technologies
by: Atwell, Katherine, et al.
Published: (2025)

Measuring How (Not Just Whether) VLMs Build Common Ground
by: Imai, Saki, et al.
Published: (2025)

BASIL: Bayesian Assessment of Sycophancy in LLMs
by: Atwell, Katherine, et al.
Published: (2025)

Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making
by: Ahn, Yongsu, et al.
Published: (2025)

Learning Multimodal Cues of Children's Uncertainty
by: Cheng, Qi, et al.
Published: (2024)

Conversational DNA: A New Visual Language for Understanding Dialogue Structure in Human and AI
by: Lin, Baihan
Published: (2025)

Evaluating Theory of (an uncertain) Mind: Predicting the Uncertain Beliefs of Others in Conversation Forecasting
by: Sicilia, Anthony, et al.
Published: (2024)

Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors
by: Sicilia, Anthony, et al.
Published: (2024)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
by: McIntosh, Timothy R., et al.
Published: (2024)

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
by: Jacobs, Sven, et al.
Published: (2024)

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
by: Ferrara, Emilio
Published: (2023)

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data
by: Kursuncu, Ugur, et al.
Published: (2025)

More is More: Addition Bias in Large Language Models
by: Santagata, Luca, et al.
Published: (2024)

Impacts of Anthropomorphizing Large Language Models in Learning Environments
by: Schaaff, Kristina, et al.
Published: (2024)

Large Language Models as Psychological Simulators: A Methodological Guide
by: Lin, Zhicheng
Published: (2025)

Evidence of conceptual mastery in the application of rules by Large Language Models
by: Nunes, José Luiz, et al.
Published: (2025)

On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
by: Aremu, Toluwani, et al.
Published: (2024)

Empirical evidence of Large Language Model's influence on human spoken communication
by: Yakura, Hiromu, et al.
Published: (2024)

An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
by: A, Vimaleswar, et al.
Published: (2025)

An Empirical Investigation of Gender Stereotype Representation in Large Language Models: The Italian Case
by: Giachino, Gioele, et al.
Published: (2025)

Decoding the Mind of Large Language Models: A Quantitative Evaluation of Ideology and Biases
by: Hirose, Manari, et al.
Published: (2025)

Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models
by: Steenhuis, Quinten, et al.
Published: (2024)

MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
by: Li, Mingjin, et al.
Published: (2025)

Large Language Models Show Human-like Social Desirability Biases in Survey Responses
by: Salecha, Aadesh, et al.
Published: (2024)

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)

Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
by: Chan, Samantha, et al.
Published: (2024)

Evaluating Large Language Models in Analysing Classroom Dialogue
by: Long, Yun, et al.
Published: (2024)

A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
by: Verma, Gaurav, et al.
Published: (2025)

From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies
by: Triantafyllopoulos, Loukas, et al.
Published: (2025)

Prompt Engineering Techniques for Mitigating Cultural Bias Against Arabs and Muslims in Large Language Models: A Systematic Review
by: Asseri, Bushra, et al.
Published: (2025)

Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
by: Balestri, Roberto
Published: (2025)

Dialogue Systems for Emotional Support via Value Reinforcement
by: Kim, Juhee, et al.
Published: (2025)

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
by: Greco, Candida M., et al.
Published: (2026)

MixDPO: Modeling Preference Strength for Pluralistic Alignment
by: Imai, Saki, et al.
Published: (2026)