Bin CUI

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch ACL 2026 Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token’s Nature ACL 2026 Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations OSDI 2026 PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning AAAI 2026 ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases ACL 2025 CFBench: A Comprehensive Constraints-Following Benchmark for LLMs ACL 2025 Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs ICML 2025 Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning ACL 2025 Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning ICLR 2025 FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs’ Responsiveness to Human Feedback EMNLP 2025 Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations EMNLP 2025 IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation ICLR 2025 Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training ICML 2025 NetMoE: Accelerating MoE Training through Dynamic Sample Placement ICLR 2025 SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget ICLR 2025 SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction ICLR 2025 SysBench: Can LLMs Follow System Message? ICLR 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 Training-free and Adaptive Sparse Attention for Efficient Long Video Generation ICCV 2025 VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs EMNLP 2025 Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference AAAI 2024 Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models NeurIPS 2024 Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing ICLR 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NeurIPS 2024 Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs ICML 2024 OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024 Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024 RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models NeurIPS 2024 Structure-Guided Adversarial Training of Diffusion Models CVPR 2024 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling NeurIPS 2024 VideoTetris: Towards Compositional Text-to-Video Generation NeurIPS 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs ICLR 2024 X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling IJCAI 2024 CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention AAAI 2023 Improving Diffusion-Based Image Synthesis with Context Prediction NeurIPS 2023 Model-enhanced Vector Index NeurIPS 2023 OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning IJCAI 2023 ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023 Deep and Flexible Graph Neural Architecture Search ICML 2022 DivBO: Diversity-aware CASH for Ensemble Learning NeurIPS 2022 Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels ICLR 2022 NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning ICML 2022 PointCLIP: Point Cloud Understanding by CLIP CVPR 2022 Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021 Node Dependent Local Smoothing for Scalable Graph Learning NeurIPS 2021 RIM: Reliable Influence-based Active Learning on Graphs NeurIPS 2021 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020 Efficient Automatic CASH via Rising Bandits AAAI 2020