Qiang Liu
- Papers
- 44
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Authored papers
44MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
arXiv 2026
RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task Evaluation
arXiv 2026
nabla-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space
arXiv 2026
MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm
arXiv 2025
Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing
arXiv 2025
PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations
arXiv 2025
Diffusion Models for Molecules: A Survey of Methods and Tasks
arXiv 2025
Steepest Descent Density Control for Compact 3D Gaussian Splatting
CVPR 2025 1
A$^2$ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization
arXiv 2025
AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration
arXiv 2025
RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark
arXiv 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
arXiv 2025
PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
arXiv 2025
LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance
ICCV 2025
MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning
arXiv 2025
Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity
arXiv 2025
VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation
arXiv 2025
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
arXiv 2024
Cautious Optimizers: Improving Training with One Line of Code
arXiv 2024
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
arXiv 2024
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
arXiv 2024
Longhorn: State Space Models are Amortized Online Learners
arXiv 2024
Memory-Efficient LLM Training with Online Subspace Descent
arXiv 2024
AMO Sampler: Enhancing Text Rendering with Overshooting
CVPR 2025 1
Beyond Filtering: Adaptive Image-Text Quality Enhancement for MLLM Pretraining
arXiv 2024
Yi: Open Foundation Models by 01.AI
arXiv 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
arXiv 2024
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
arXiv 2024
On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability
arXiv 2024
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
arXiv 2024
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
arXiv 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
arXiv 2023
GSLB: The Graph Structure Learning Benchmark
gslb-the-graph-structure-learning-benchmark
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
arXiv 2023
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
arXiv 2023
Planning-oriented Autonomous Driving
CVPR 2023 1
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
arXiv 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
arXiv 2022
Fast Point Cloud Generation with Straight Flows
CVPR 2023 1
Continual Learning and Private Unlearning
arXiv 2022
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
arXiv 2021
Relation-aware Heterogeneous Graph for User Profiling
arXiv 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence
arXiv 2021
Deep Graph Contrastive Representation Learning
arXiv 2020
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