directed acyclic graph

GRAFT: A Graph-based Flow-aware Agentic Framework for Document-level Machine Translation EMNLP 2025 Joint Enhancement of Relational Reasoning for Long-Context LLMs EMNLP 2025 Ladder: A Convergence-based Structured DAG Blockchain for High Throughput and Low Latency NSDI 2025 LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation ICLR 2025 Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025 LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery UAI 2025 Lower Bounds on the Size of Markov Equivalence Classes UAI 2025 Neural Spacetimes for DAG Representation Learning ICLR 2025 NN-Former: Rethinking Graph Structure in Neural Architecture Representation CVPR 2025 On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference JMLR 2025 Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation EMNLP 2025 Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs ICML 2025 Quantum Speedups for Bayesian Network Structure Learning UAI 2025 Scaling Large Language Model-based Multi-Agent Collaboration ICLR 2025 Separation-Based Distance Measures for Causal Graphs AISTATS 2025 Shoal++: High Throughput DAG BFT Can Be Fast and Robust! NSDI 2025 TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization IJCAI 2025 Towards Robustness and Explainability of Automatic Algorithm Selection ICML 2025 A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers EMNLP 2024 Adjustment Identification Distance: A gadjid for Causal Structure Learning UAI 2024 A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton AAAI 2024 A Fixed-Point Approach for Causal Generative Modeling ICML 2024 A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs IJCAI 2024 An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters JMLR 2024 A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024