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Theory

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Papers

Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates ICLR 2025 Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025 Grokking at the Edge of Numerical Stability ICLR 2025 Hallucination Detection in Structured Query Generation via LLM Self-Debating EMNLP 2025 HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics ICLR 2025 HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing ICCV 2025 Hedging and Approximate Truthfulness in Traditional Forecasting Competitions AAAI 2025 HEDS 3.0: The Human Evaluation Data Sheet Version 3.0 ACL 2025 HELMET: How to Evaluate Long-context Models Effectively and Thoroughly ICLR 2025 Homomorphism Expressivity of Spectral Invariant Graph Neural Networks ICLR 2025 HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation ACL 2025 How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning ICLR 2025 How do Transformer Embeddings Represent Compositions? A Functional Analysis ACL 2025 How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models EMNLP 2025 How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings ICLR 2025 How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching AAAI 2025 How Persuasive Is Your Context? EMNLP 2025 How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models EMNLP 2025 How Well Can a Long Sequence Model Model Long Sequences? Comparing Architectural Inductive Biases on Long-Context Abilities COLING 2025 Human and AI Perceptual Differences in Image Classification Errors AAAI 2025 ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing ICCV 2025 Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025 IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval NAACL 2025 Implicit vs Unfolded Graph Neural Networks JMLR 2025 Improved Convergence Rate for Diffusion Probabilistic Models ICLR 2025