Ji-Rong Wen
Identifiers
- name variant Ji-Rong Wen 0.60 · backfill
Papers (43)
- Benchmarking LLMs for Community Governance Simulation with Life-history Narratives cs.CY · 2026 · author #9
- Pareto-Guided Optimal Transport for Multi-Reward Alignment cs.CV · 2026 · author #8
- Reasoning emerges from constrained inference manifolds in large language models cs.LG · 2026 · author #12
- ClawGym: A Scalable Framework for Building Effective Claw Agents cs.CL · 2026 · author #14
- Improving Vision-language Models with Perception-centric Process Reward Models cs.CV · 2026 · author #9
- Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery cs.LG · 2026 · author #15
- Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cs.AI · 2026 · author #19
- Toward Autonomous Long-Horizon Engineering for ML Research cs.CL · 2026 · author #9
- Towards Long-horizon Agentic Multimodal Search cs.CV · 2026 · author #8
- Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration cs.LG · 2026 · author #4
- Learning to Retrieve from Agent Trajectories cs.IR · 2026 · author #6
- Computer Environments Elicit General Agentic Intelligence in LLMs cs.CL · 2026 · author #8
- EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis cs.CL · 2026 · author #5
- Memory in the Age of AI Agents cs.CL · 2025 · author #44
- LLaDA2.0: Scaling Up Diffusion Language Models to 100B cs.LG · 2025 · author #22
- Agentic Reinforced Policy Optimization cs.LG · 2025 · author #13
- LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models cs.LG · 2025 · author #10
- LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning cs.LG · 2025 · author #7
- WebThinker: Empowering Large Reasoning Models with Deep Research Capability cs.CL · 2025 · author #6
- Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models cs.CL · 2025 · author #5
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning cs.AI · 2025 · author #8
- Large Language Diffusion Models cs.CL · 2025 · author #9
- Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems cs.AI · 2024 · author #14
- A Survey on the Memory Mechanism of Large Language Model based Agents cs.AI · 2024 · author #9
- A Survey on Large Language Model based Autonomous Agents cs.AI · 2023 · author #13
- Evaluating Object Hallucination in Large Vision-Language Models cs.CV · 2023 · author #6
- A Survey of Large Language Models cs.CL · 2023 · author #22
- Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN cs.CV · 2019 · author #4
- PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs cs.DS · 2019 · author #7
- A Long-Short Demands-Aware Model for Next-Item Recommendation cs.IR · 2019 · author #4
- Face-Focused Cross-Stream Network for Deception Detection in Videos cs.CV · 2018 · author #5
- Zero-Shot Learning with Sparse Attribute Propagation cs.CV · 2018 · author #5
- Recursive Visual Attention in Visual Dialog cs.CV · 2018 · author #6
- Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning cs.CV · 2018 · author #6
- Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning cs.CV · 2018 · author #6
- Domain-Invariant Projection Learning for Zero-Shot Recognition cs.CV · 2018 · author #6
- RUM: network Representation learning throUgh Multi-level structural information preservation cs.LG · 2017 · author #5
- Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation cs.CV · 2017 · author #3
- Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics cs.CV · 2017 · author #6
- A General SIMD-based Approach to Accelerating Compression Algorithms cs.IR · 2015 · author #7
- Image classification by visual bag-of-words refinement and reduction cs.CV · 2015 · author #3
- Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing cs.CV · 2014 · author #5
- Mining Frequent Neighborhood Patterns in Large Labeled Graphs cs.DB · 2013 · author #2
Mentions
- 2605.23783 #9 · arxiv_oai · confidence 0.70 Ji-Rong Wen
- 2604.26904 #14 · arxiv_oai · confidence 0.70 Ji-Rong Wen
- 2412.09413 #14 · arxiv_oai · confidence 0.70 Ji-Rong Wen
- 2505.16933 #7 · arxiv_oai · confidence 0.70 Ji-Rong Wen
- 2507.19849 #13 · arxiv_oai · confidence 0.70 Ji-Rong Wen
- 2504.21776 #6 · arxiv_oai · confidence 0.70 Ji-Rong Wen
Frequent Coauthors
- Wayne Xin Zhao 14 shared papers
- Zhiwu Lu 12 shared papers
- Tao Xiang 8 shared papers
- Yingqian Min 5 shared papers
- Yutao Zhu 5 shared papers
- Zhicheng Dou 5 shared papers
- Zhipeng Chen 5 shared papers
- Chongxuan Li 4 shared papers
- Guanting Dong 4 shared papers
- Huatong Song 4 shared papers
- Jiechao Guan 4 shared papers
- Jun Zhou 4 shared papers
- Liwei Wang 4 shared papers
- Xiaolu Zhang 4 shared papers
- Yifan Du 4 shared papers
- An Zhao 3 shared papers
- Aoxue Li 3 shared papers
- Jian-Yun Nie 3 shared papers
- Jie Chen 3 shared papers
- Jinhao Jiang 3 shared papers