Jingren Zhou

Evidence-Augmented Policy Optimization with Reward Co-Evolution for Long-Context Reasoning ACL 2026 Nested Browser-Use Learning for Agentic Information Seeking ACL 2026 Retrieval Heads are Dynamic ACL 2026 AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations COLING 2025 GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025 Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development ICML 2025 mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models ICLR 2025 Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models ICLR 2025 Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference ICLR 2025 ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer ICLR 2025 Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent ICLR 2025 RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing EMNLP 2025 P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs EMNLP 2025 ProcessBench: Identifying Process Errors in Mathematical Reasoning ACL 2025 Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models ACL 2025 Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models ACL 2025 mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding ACL 2025 The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025 FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point ACL 2025 DreamVideo: Composing Your Dream Videos with Customized Subject and Motion CVPR 2024 How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition ACL 2024 AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension ACL 2024 Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment ACL 2024 Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following CVPR 2024 Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024 mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding EMNLP 2024 #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ICLR 2024 Lipschitz Singularities in Diffusion Models ICLR 2024 EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism ICML 2024 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models NAACL 2024 mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video ICML 2023 Cones: Concept Neurons in Diffusion Models for Customized Generation ICML 2023 Dimensionality-Varying Diffusion Process CVPR 2023 Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023 Composer: Creative and Controllable Image Synthesis with Composable Conditions ICML 2023 Neural Dependencies Emerging From Learning Massive Categories CVPR 2023 ViM: Vision Middleware for Unified Downstream Transferring ICCV 2023 CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans ICCV 2023 RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training CVPR 2023 ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models EMNLP 2023 LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook CVPR 2023 Learned Index with Dynamic $\epsilon$ ICLR 2023 VideoComposer: Compositional Video Synthesis with Motion Controllability NIPS 2023 MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition INTERSPEECH 2023 PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices AAAI 2023 FaceComposer: A Unified Model for Versatile Facial Content Creation NIPS 2023 RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation ICML 2023 Customizable Image Synthesis with Multiple Subjects NIPS 2023 Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone NIPS 2023 mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections EMNLP 2022 Reliable Adversarial Distillation with Unreliable Teachers ICLR 2022 iFlood: A Stable and Effective Regularizer ICLR 2022 Principled Knowledge Extrapolation with GANs ICML 2022 OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework ICML 2022 Learning Relation Alignment for Calibrated Cross-modal Retrieval ACL 2021 Uncertainty Principles of Encoding GANs ICML 2021 Dynamic Memory based Attention Network for Sequential Recommendation AAAI 2021 Low-Rank Subspaces in GANs NIPS 2021 Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021 Learning to Rehearse in Long Sequence Memorization ICML 2021 GAIA: A System for Interactive Analysis on Distributed Graphs Using a High-Level Language NSDI 2021 Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation ACL 2021 Learning Relation Alignment for Calibrated Cross-modal Retrieval IJCNLP 2021 Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation IJCNLP 2021 UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis NIPS 2021 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020 Learning Efficient Parameter Server Synchronization Policies for Distributed SGD ICLR 2020 Learning to Mutate with Hypergradient Guided Population NIPS 2020 StreamScope: Continuous Reliable Distributed Processing of Big Data Streams NSDI 2016 Large-scale L-BFGS using MapReduce NIPS 2014 Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing OSDI 2014 Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions NSDI 2012 Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE OSDI 2012 Reoptimizing Data Parallel Computing NSDI 2012