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Generative Models

1275 directly classified papers

Papers per year

Papers

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models EMNLP 2024
Evaluating Diversity in Automatic Poetry Generation EMNLP 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models EMNLP 2024
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation EMNLP 2024
ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024
Control Large Language Models via Divide and Conquer EMNLP 2024
From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items EMNLP 2024
PostMark: A Robust Blackbox Watermark for Large Language Models EMNLP 2024
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On CVPR 2024
Z*: Zero-shot Style Transfer via Attention Reweighting CVPR 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring EMNLP 2024
Benchmarking Machine Translation with Cultural Awareness EMNLP 2024
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control CVPR 2024
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning CVPR 2024
Automatic Controllable Colorization via Imagination CVPR 2024
InstanceDiffusion: Instance-level Control for Image Generation CVPR 2024
FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance CVPR 2024
Correcting Diffusion Generation through Resampling CVPR 2024
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers CVPR 2024
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024
On conditional diffusion models for PDE simulations NIPS 2024
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NIPS 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback NIPS 2024