Cover Image

Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hassan, Sabit, Sicilia, Anthony, Alikhani, Malihe
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Active Learning Framework for Inclusive Generation by Large Language Models
by: Hassan, Sabit, et al.
Published: (2024)

Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents
by: Hassan, Sabit, et al.
Published: (2024)

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)

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

Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI
by: Asano, Yuya, et al.
Published: (2025)

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

HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations
by: Sicilia, Anthony, et al.
Published: (2023)

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

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

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

Generating Signed Language Instructions in Large-Scale Dialogue Systems
by: İnan, Mert, et al.
Published: (2024)

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

Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models
by: Sicilia, Anthony, et al.
Published: (2024)

Change My View? The Dynamics of Persuasion and Polarization in Online Discourse
by: Freeborn, David, et al.
Published: (2026)

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

Studying and Mitigating Biases in Sign Language Understanding Models
by: Atwell, Katherine, et al.
Published: (2024)

Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues
by: Bilalpur, Maneesh, et al.
Published: (2024)

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

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

How people talk about each other: Modeling Generalized Intergroup Bias and Emotion
by: Govindarajan, Venkata S, et al.
Published: (2022)

From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios
by: Gao, Yuan, et al.
Published: (2025)

ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
by: Bayer, Markus, et al.
Published: (2024)

FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios
by: Hou, Yutao, et al.
Published: (2026)

How Pragmatics Shape Articulation: A Computational Case Study in STEM ASL Discourse
by: Imai, Saki, et al.
Published: (2025)

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

Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
by: Zhang, Jiayi, et al.
Published: (2025)

ModelCitizens: Representing Community Voices in Online Safety
by: Suvarna, Ashima, et al.
Published: (2025)

Hiding in Plain Sight: Finding MAHA on Reddit
by: Ahmed, Sabit, et al.
Published: (2026)

Representative Language Generation
by: Peale, Charlotte, et al.
Published: (2025)

Robust or Suggestible? Exploring Non-Clinical Induction in LLM Drug-Safety Decisions
by: Liu, Siying, et al.
Published: (2025)

From Selection to Generation: A Survey of LLM-based Active Learning
by: Xia, Yu, et al.
Published: (2025)

Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports
by: Nanyonga, Aziida, et al.
Published: (2025)

When Safety Blocks Sense: Measuring Semantic Confusion in LLM Refusals
by: Anonto, Riad Ahmed, et al.
Published: (2025)

Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages
by: Salmè, Marco, et al.
Published: (2025)

Enhancing Naturalness in LLM-Generated Utterances through Disfluency Insertion
by: Hassan, Syed Zohaib, et al.
Published: (2024)

LLM for Everyone: Representing the Underrepresented in Large Language Models
by: Cahyawijaya, Samuel
Published: (2024)

Agent-SafetyBench: Evaluating the Safety of LLM Agents
by: Zhang, Zhexin, et al.
Published: (2024)

PedagoSense: A Pedology Grounded LLM System for Pedagogical Strategy Detection and Contextual Response Generation in Learning Dialogues
by: Sultan, Shahem, et al.
Published: (2026)

DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
by: Wu, Junchao, et al.
Published: (2024)