"synthetic data generation" Papers

Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks

Hailong Guo, Bohan Zeng, Yiren Song et al.

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation

Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.

ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions

Yue Huang, Zhengzhe Jiang, Xiaonan Luo et al.

Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling

Nannan Li, Kevin Shih, Bryan A. Plummer

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment

Jiayi Guo, Zhao Junhao, Chaoqun Du et al.

GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs

Dongzhuoran Zhou, Evgeny Kharlamov, Egor Kostylev

GRIP: A Graph-Based Reasoning Instruction Producer

Jiankang Wang, Jianjun Xu, Xiaorui Wang et al.

LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization

Zhenpeng Huang, Jiaqi Li, zihan jia et al.

MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures

Lucas Morin, Valery Weber, Ahmed Nassar et al.

MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code

Zimu Lu, Aojun Zhou, Ke Wang et al.

MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World

Ankit Dhiman, Manan Shah, R. Venkatesh Babu

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning

Jaehun Jung, Seungju Han, Ximing Lu et al.

Rethinking the Role of Verbatim Memorization in LLM Privacy

Tom Sander, Bargav Jayaraman, Mark Ibrahim et al.

RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation

Tianyi Yan, Wencheng Han, xia zhou et al.

Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation

Linda He, Jue Wang, Maurice Weber et al.

Synthetic Data is an Elegant GIFT for Continual Vision-Language Models

Bin Wu, Wuxuan Shi, Jinqiao Wang et al.

Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs

Yibo Wang, Hai-Long Sun, Guangda Huzhang et al.

V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation

Hanyue Lou, Jinxiu Liang, Minggui Teng et al.

Valid Inference with Imperfect Synthetic Data

Yewon Byun, Shantanu Gupta, Zachary Lipton et al.

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data

Zi Liang, Qingqing Ye, Xuan Liu et al.

3DGazeNet: Generalizing Gaze Estimation with Weak Supervision from Synthetic Views

Evangelos Ververas, Polydefkis Gkagkos, Jiankang Deng et al.

CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources

Sikha Pentyala, Mayana Pereira, Martine De Cock

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation

Brandon Theodorou, Shrusti Jain, Cao Xiao et al.

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

Nabeel Seedat, Nicolas Huynh, Boris van Breugel et al.

CuTS: Customizable Tabular Synthetic Data Generation

Mark Vero, Mislav Balunovic, Martin Vechev

Data-to-Model Distillation: Data-Efficient Learning Framework

Ahmad Sajedi, Samir Khaki, Lucy Z. Liu et al.

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

Junghun Cha, Ali Haider, Seoyun Yang et al.

Differentially Private Sum-Product Networks

Xenia Heilmann, Mattia Cerrato, Ernst Althaus

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs et al.

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation

Xiaobin Hu, Xu Peng, Donghao Luo et al.

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Zhenyu Li, Sunqi Fan, Yu Gu et al.

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis et al.

Image Captioning with Multi-Context Synthetic Data

Position: Will we run out of data? Limits of LLM scaling based on human-generated data

Pablo Villalobos, Anson Ho, Jaime Sevilla et al.

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

Charlie Hou, Akshat Shrivastava, Hongyuan Zhan et al.

Sharpness-Aware Data Generation for Zero-shot Quantization

Hoang Dung, Cuong Pham, Trung Le et al.

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data

Heting Gao, Kaizhi Qian, Junrui Ni et al.

UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues

Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau et al.

What is Dataset Distillation Learning?

William Yang, Ye Zhu, Zhiwei Deng et al.