Peng Ye

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement ACL 2026 Mitigating Low-Quality Reasoning in MLLMs: Self-Driven Refined Multimodal CoT with Selective Thinking and Step-wise Visual Enhancement AAAI 2026 Nature-Inspired Population-Based Evolution of Large Language Models ACL 2026 Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach CVPR 2026 The Avengers: A Routing Recipe for Collective Intelligence in Language Models AAAI 2026 A CLIP-Powered Framework for Robust and Generalizable Data Selection ICLR 2025 All-in-One: Transferring Vision Foundation Models into Stereo Matching AAAI 2025 Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models EMNLP 2025 Consistency-aware Self-Training for Iterative-based Stereo Matching CVPR 2025 Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning CVPR 2025 DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models CVPR 2025 HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction ICLR 2025 Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025 Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity COLT 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models ICLR 2025 When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration ICML 2025 BEACON: Benchmark for Comprehensive RNA Tasks and Language Models NeurIPS 2024 Boosting Residual Networks with Group Knowledge AAAI 2024 CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ICML 2024 EMR-Merging: Tuning-Free High-Performance Model Merging NeurIPS 2024 Enhanced Sparsification via Stimulative Training ECCV 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NeurIPS 2024 Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy ICML 2024 MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer CVPR 2024 Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA NeurIPS 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024 Prompt-fused Framework for Inductive Logical Query Answering COLING 2024 S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning NeurIPS 2024 The Limits of Differential Privacy in Online Learning NeurIPS 2024 RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary ICCV 2023 b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search CVPR 2022 Neural-Symbolic Entangled Framework for Complex Query Answering NeurIPS 2022 Ruleformer: Context-aware Rule Mining over Knowledge Graph COLING 2022 Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing NeurIPS 2022 Average-Case Communication Complexity of Statistical Problems COLT 2021 In-Database Regression in Input Sparsity Time ICML 2021 Active Sampling for Subjective Image Quality Assessment CVPR 2014 Beyond Human Opinion Scores: Blind Image Quality Assessment based on Synthetic Scores CVPR 2014 Convolutional Neural Networks for No-Reference Image Quality Assessment CVPR 2014 Real-Time No-Reference Image Quality Assessment Based on Filter Learning CVPR 2013