:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pittman, Jason M., Phillips Jr., Anton, Medina-Santos, Yesenia, Stark, Brielle C.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2510.24817
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Practical Machine Learning for Aphasic Discourse Analysis
by: Pittman, Jason M., et al.
Published: (2025)

A Synthetic Dataset for Personal Attribute Inference
by: Yukhymenko, Hanna, et al.
Published: (2024)

Towards Scalable Meta-Learning of near-optimal Interpretable Models via Synthetic Model Generations
by: Myint, Kyaw Hpone, et al.
Published: (2025)

Synthetic Multimodal Question Generation
by: Wu, Ian, et al.
Published: (2024)

Latenrgy: Model Agnostic Latency and Energy Consumption Prediction for Binary Classifiers
by: Pittman, Jason M.
Published: (2024)

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
by: Shin, Hagyeong, et al.
Published: (2025)

Controlled Generation for Private Synthetic Text
by: Zhao, Zihao, et al.
Published: (2025)

Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
by: Guo, Xu, et al.
Published: (2024)

Reasoning-Driven Synthetic Data Generation and Evaluation
by: Davidson, Tim R., et al.
Published: (2026)

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data
by: Ba, Yang, et al.
Published: (2024)

Out-of-Distribution Detection using Synthetic Data Generation
by: Abbas, Momin, et al.
Published: (2025)

Dynamic Context Evolution for Scalable Synthetic Data Generation
by: Lingo, Ryan, et al.
Published: (2026)

CasualSynth: Generating Structurally Sound Synthetic Data
by: Cheng, Zehua, et al.
Published: (2026)

Personalized Language Modeling from Personalized Human Feedback
by: Li, Xinyu, et al.
Published: (2024)

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
by: Pichat, Michael, et al.
Published: (2025)

FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users
by: Singh, Anikait, et al.
Published: (2025)

Learning Retrieval Augmentation for Personalized Dialogue Generation
by: Huang, Qiushi, et al.
Published: (2024)

CALICO: Conversational Agent Localization via Synthetic Data Generation
by: Rosenbaum, Andy, et al.
Published: (2024)

Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
by: Ulm, Jannek, et al.
Published: (2025)

Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
by: Goldie, Anna, et al.
Published: (2025)

Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework
by: Wang, Dong, et al.
Published: (2025)

Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
by: Gan, Zeyu, et al.
Published: (2024)

Transformer Block Coupling and its Correlation with Generalization in LLMs
by: Aubry, Murdock, et al.
Published: (2024)

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
by: Jadon, Aryan, et al.
Published: (2025)

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
by: Zhu, Alan, et al.
Published: (2025)

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
by: Zhou, Ying, et al.
Published: (2024)

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
by: Huang, Yue, et al.
Published: (2025)

Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM
by: Das, Trisha, et al.
Published: (2024)

Synthetic vs. Gold: The Role of LLM Generated Labels and Data in Cyberbullying Detection
by: Kazemi, Arefeh, et al.
Published: (2025)

Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
by: Biswas, Anjanava, et al.
Published: (2024)

Online Personalizing White-box LLMs Generation with Neural Bandits
by: Chen, Zekai, et al.
Published: (2024)

Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach
by: Wang, Tony T., et al.
Published: (2024)

DualAlign: Generating Clinically Grounded Synthetic Data
by: Li, Rumeng, et al.
Published: (2025)

XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation
by: Iyer, Vivek, et al.
Published: (2025)

MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation
by: Riaz, Haris, et al.
Published: (2025)

Synthetic continued pretraining
by: Yang, Zitong, et al.
Published: (2024)

OpenJarvis: Personal AI, On Personal Devices
by: Saad-Falcon, Jon, et al.
Published: (2026)

NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence
by: Khamesian, Saman, et al.
Published: (2025)

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs
by: Lin, Yihan, et al.
Published: (2025)

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
by: Pecher, Branislav, et al.
Published: (2026)