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34,437 papers (4 classified directly here)

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Papers (including subtopics)

DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025 DReSD: Dense Retrieval for Speculative Decoding ACL 2025 DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing ACL 2025 Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases EMNLP 2025 DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data Flexible Views and Transformed Domains WACV 2025 Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map CVPR 2025 DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains EMNLP 2025 DRoP: Distributionally Robust Data Pruning ICLR 2025 Dropout Connects Transformers and CNNs: Transfer General Knowledge for Knowledge Distillation WACV 2025 Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs EMNLP 2025 Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization ICLR 2025 DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025 DrugHash: Hashing Based Contrastive Learning for Virtual Screening AAAI 2025 Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning ICML 2025 DS2-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis ACL 2025 DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models ICLR 2025 DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025 DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers ICML 2025 DSQG-Syn: Synthesizing High-quality Data for Text-to-SQL Parsing by Domain Specific Question Generation NAACL 2025 DTDES-KGE: Dual-Teacher Knowledge Distillation with Distinct Embedding Spaces for Knowledge Graph Embeddings EMNLP 2025 DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence ICML 2025 Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation CVPR 2025 DualCast: A Model to Disentangle Aperiodic Events from Traffic Series IJCAI 2025 Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning CVPR 2025 DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype AAAI 2025