Application Areas

Towards Unbiased Learning in Semi-Supervised Semantic Segmentation ICLR 2025 Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis ICML 2025 Towards Unified, Dynamic and Annotation-based Visualisations and Exploration of Annotated Big Data Corpora with the Help of Unified Corpus Explorer NAACL 2025 Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments AAAI 2025 Towards Universal Dataset Distillation via Task-Driven Diffusion CVPR 2025 Towards Universal Debiasing for Language Models-based Tabular Data Generation EMNLP 2025 Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation AAAI 2025 ToW: Thoughts of Words Improve Reasoning in Large Language Models NAACL 2025 Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore’s Low-Resource Languages EMNLP 2025 TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction ICML 2025 TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues NAACL 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models EMNLP 2025 Tracking Universal Features Through Fine-Tuning and Model Merging NAACL 2025 tRAG: Term-level Retrieval-Augmented Generation for Domain-Adaptive Retrieval NAACL 2025 Train a Unified Multimodal Data Quality Classifier with Synthetic Data EMNLP 2025 Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References AAAI 2025 Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models EMNLP 2025 Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025 Training Deep Learning Models with Norm-Constrained LMOs ICML 2025 Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra ICML 2025 Training-Free Activation Sparsity in Large Language Models ICLR 2025 Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning AAAI 2025 Training-Free Dataset Pruning for Instance Segmentation ICLR 2025 Training Free Exponential Context Extension via Cascading KV Cache ICLR 2025