Deep Learning

From 2D Alignment to 3D Plausibility: Unifying Heterogeneous 2D Priors and Penetration-Free Diffusion for Occlusion-Robust Two-Hand Reconstruction CVPR 2026 From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control ACL 2026 From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning ACL 2026 From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons ACL 2026 From Attraction to Equilibrium: Physics-Inspired Semantic Gravitons for Zero-Shot Anomaly Detection CVPR 2026 From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production AAAI 2026 From Classical to Contemporary: Evolutionary Analysis & Classification of Urdu Poetry EACL 2026 From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation ACL 2026 From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning ACL 2026 From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation CVPR 2026 From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression MIDL 2026 From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan ACL 2026 From Darkness to Detail: Frequency-Aware SSMs for Low-Light Vision WACV 2026 From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking CVPR 2026 From Discriminative to Generative: A Diffusion-Based Paradigm for Multi-Agent Collaborative Perception AAAI 2026 From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing CVPR 2026 From Experts to Bases: Orthogonal Subspace Mixture for Continual Multimodal Instruction Tuning ACL 2026 From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training CVPR 2026 From Feature Learning to Spectral Basis Learning: A Unifying and Flexible Framework for Efficient and Robust Shape Matching CVPR 2026 From Few-way to Many-way: Rethinking Few-shot Fine-grained Image Classification CVPR 2026 From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication ACL 2026 From Form to Logic: Masked Reconstruction and Reasoning Distillation for Short Video Fake News Detection ACL 2026 From Global to Factor-Wise Expert Composition in Discrete Diffusion Models UAI 2026 From Graphs to Hypergraphs: Enhancing Aspect-Term Sentiment Analysis via Multi-Level Relational Modeling ACL 2026 From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs ACL 2026