LEI BAI

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement ACL 2026 A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions ACL 2026 CompBench: Benchmarking Complex Instruction-guided Image Editing CVPR 2026 FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution CVPR 2026 FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow ACL 2026 MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing ACL 2026 MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs ACL 2026 MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings ACL 2026 Nature-Inspired Population-Based Evolution of Large Language Models ACL 2026 R3: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning ACL 2026 Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning ACL 2026 STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting CVPR 2026 SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer AAAI 2026 The Avengers: A Routing Recipe for Collective Intelligence in Language Models AAAI 2026 Transition Models: Rethinking the Generative Learning Objective CVPR 2026 Chimera: Improving Generalist Model with Domain-Specific Experts ICCV 2025 ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems CVPR 2025 Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback ACL 2025 IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior CVPR 2025 InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis ICCV 2025 Multi-agent Architecture Search via Agentic Supernet ICML 2025 PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling ICLR 2025 ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks EMNLP 2025 RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints ICCV 2025 Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution CVPR 2025 SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing ACL 2025 TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting ICLR 2025 UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines CVPR 2025 VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology ICLR 2025 VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025 VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior ICCV 2025 VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints AAAI 2025 WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning ICLR 2025 WorldSimBench: Towards Video Generation Models as World Simulators ICML 2025 Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation AAAI 2024 CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ICML 2024 FiT: Flexible Vision Transformer for Diffusion Model ICML 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NeurIPS 2024 Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NeurIPS 2024 Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation WACV 2024 Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions CVPR 2024 MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators AAAI 2024 Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning AISTATS 2024 On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection NeurIPS 2024 PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines ECCV 2024 Towards a Self-contained Data-driven Global Weather Forecasting Framework ICML 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization ICLR 2023 FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction CVPR 2023 GReTo: Remedying dynamic graph topology-task discordance via target homophily ICLR 2023 HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining CVPR 2023 LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark NeurIPS 2023 LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NeurIPS 2023 Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase AAAI 2023 Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NeurIPS 2023 STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning ICCV 2023 UniHCP: A Unified Model for Human-Centric Perceptions CVPR 2023 Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking ECCV 2022 Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains ECCV 2022 DR.VIC: Decomposition and Reasoning for Video Individual Counting CVPR 2022 Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches ECCV 2022 Relative Contrastive Loss for Unsupervised Representation Learning ECCV 2022 Revisiting the Transferability of Supervised Pretraining: An MLP Perspective CVPR 2022 SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation AAAI 2022 Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective ECCV 2022 Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning NeurIPS 2022 GLiT: Neural Architecture Search for Global and Local Image Transformer ICCV 2021 Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images ICCV 2021 Mutual CRF-GNN for Few-Shot Learning CVPR 2021 Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NeurIPS 2020 STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting IJCAI 2019