Key papers

• Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations (2025)
  Jeonghyeon Kim et al.
  4.47
• MentalThink: Shaping Thoughts in Mental SVG World (2026)
  Kangheng Lin et al.
  2.00
• Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders (2026)
  Shengbang Tong et al.
  1.94
• Trust The Typical (2026)
  Debargha Ganguly et al.
  1.94
• Free Lunch for Pass@k? Low Cost Diverse Sampling for Diffusion Language Models (2026)
  Sean Lamont et al.
  1.94
• Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders (2026)
  Shang-Jui Ray Kuo et al.
  1.94
• Demystifying When Pruning Works via Representation Hierarchies (2026)
  Shwai He et al.
  1.94
• Continuous Latent Diffusion Language Model (2026)
  Hongcan Guo et al.
  1.94
• CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models (2026)
  Wenxuan Song et al.
  1.94
• Geometric Latent Reasoning Induces Shorter Generations in LLMs (2026)
  Shashi Kumar et al.
  1.94
• OPRD: On-Policy Representation Distillation (2026)
  Shenzhi Yang et al.
  1.94
• Light-WAM: Efficient World Action Models with State-Fusion Action Decoding (2026)
  Ziang Li et al.
  1.94
• HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers (2026)
  Guozhen Zhang et al.
  1.94
• WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation (2026)
  Arnav Kumar Jain et al.
  1.94
• Aligning Quantum Operators with Large Language Models (2026)
  Rogerio Feris et al.
  1.94
• Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models (2026)
  Darrien McKenzie et al.
  1.94
• 3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance (2026)
  Dongyoon Hwang et al.
  1.94
• STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation (2026)
  Ying Shen et al.
  1.89
• Dynin-Omni: Omnimodal Unified Large Diffusion Language Model (2026)
  Jaeik Kim et al.
  1.83
• GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents (2026)
  Mingyu Ouyang et al.
  1.83
• LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories (2026)
  Zhanhao Liang et al.
  1.83
• Compiler-First State Space Duality and Portable O(1) Autoregressive Caching for Inference (2026)
  Cosmo Santoni
  1.78
• A3: Android Agent Arena for Mobile GUI Agents (2025)
  Yuxiang Chai et al.
  1.28
• AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation (2025)
  Junjie He et al.
  1.28
• The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering (2025)
  Zhuowei Li et al.
  1.28
• How to Steer LLM Latents for Hallucination Detection? (2025)
  Seongheon Park et al.
  1.28
• ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation (2025)
  Zhicheng Lee et al.
  1.28
• Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models (2025)
  Hung-Yueh Chiang et al.
  1.28
• The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think (2025)
  Seongyun Lee et al.
  1.28
• Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space (2025)
  Zhen Zhang et al.
  1.28
• MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness (2025)
  Yunlong Tang et al.
  1.28
• Normalized Attention Guidance: Universal Negative Guidance for Diffusion Model (2025)
  Dar-Yen Chen et al.
  1.28
• Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid (2025)
  Julius Gonsior et al.
  1.28
• Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills (2025)
  Yuquan Xie et al.
  1.28
• Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models (2025)
  Tiezheng Zhang et al.
  1.28
• Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning (2025)
  Helena Casademunt et al.
  1.28
• DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space (2025)
  Wenkun He et al.
  1.28
• Hybrid Architectures for Language Models: Systematic Analysis and Design Insights (2025)
  Sangmin Bae et al.
  1.28
• Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer (2025)
  Ziyuan Huang et al.
  1.28
• VLM-Guided Adaptive Negative Prompting for Creative Generation (2025)
  Shelly Golan et al.
  1.28
• Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation (2025)
  Enshu Liu et al.
  1.28
• Image-Free Timestep Distillation via Continuous-Time Consistency with Trajectory-Sampled Pairs (2025)
  Bao Tang et al.
  1.28
• Error-Free Linear Attention is a Free Lunch: Exact Solution from Continuous-Time Dynamics (2025)
  Jingdi Lei et al.
  1.28
• Inserting Anybody in Diffusion Models via Celeb Basis (2023)
  Ge Yuan et al.
  —
• Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following (2023)
  Ziyu Guo et al.
  —
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces (2023)
  Albert Gu et al.
  —
• Time is Encoded in the Weights of Finetuned Language Models (2023)
  Kai Nylund et al.
  —
• Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model (2024)
  Lianghui Zhu et al.
  —
• Trajectory Consistency Distillation (2024)
  Jianbin Zheng et al.
  —
• Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings (2024)
  Sahand Sharifzadeh et al.
  —
• LocalMamba: Visual State Space Model with Windowed Selective Scan (2024)
  Tao Huang et al.
  —
• MyVLM: Personalizing VLMs for User-Specific Queries (2024)
  Yuval Alaluf et al.
  —
• Confidence Regulation Neurons in Language Models (2024)
  Alessandro Stolfo et al.
  —
• Aligning Diffusion Models with Noise-Conditioned Perception (2024)
  Alexander Gambashidze et al.
  —
• Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing (2024)
  Huanqian Wang et al.
  —
• AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases (2024)
  Zhaorun Chen et al.
  —
• PiTe: Pixel-Temporal Alignment for Large Video-Language Model (2024)
  Yang Liu et al.
  —
• Emu3: Next-Token Prediction is All You Need (2024)
  Xinlong Wang et al.
  —
• SePPO: Semi-Policy Preference Optimization for Diffusion Alignment (2024)
  Daoan Zhang et al.
  —
• Vector-ICL: In-context Learning with Continuous Vector Representations (2024)
  Yufan Zhuang et al.
  —