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- Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning
- Optimizer choice matters for the emergence of Neural Collapse
- Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning
- Reusing Latent Speech Representations for Query-Conditioned Topic Localization in Transcripts
- HVAdam: A Full-Dimension Adaptive Optimizer
- Sound Logical Explanations for Mean Aggregation Graph Neural Networks
- SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors
- Learning to Repair Lean Proofs from Compiler Feedback
- Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
- FabDreamer: Exploring the Image-to-Physical Workflow Through AI-Assisted Layered Fabrication
- Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation
- FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
- Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
- Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning?
- Cross-Spectral Dense Correspondence for Multimodal Spectral Medical Imaging
- WildCap: Facial Albedo Capture in the Wild via Hybrid Inverse Rendering
- A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements
- Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
- Vero: Can AI Agents Build Formally Verified Software Repositories?
- UEmbed: Unified Sparse and Dense Multimodal Embeddings
- Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning
- RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition
- You Really Didn't Get That? Benchmarking Social Pragmatic Inference for Indirect and Playful Chinese Online Comments
- AdaTooler-V: Adaptive Tool-Use for Images and Videos
- Alias-Free ViT: Fractional Shift Invariance via Linear Attention
- Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
- The Astonishing Ability of Large Language Models to Parse Jabberwockified Language
- ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research
- Complexity-based code embeddings
- ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
- Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids
- AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents
- BLISS: Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks
- WOLF: Werewolf-based Observations for LLM Deception and Falsehoods
- Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics
- Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism
- Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling
- Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
- Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency
- Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs