Chuanhao Li

Composition-Incremental Learning for Compositional Generalization AAAI 2026 MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models AAAI 2026 MeepleLM: A Virtual Playtester Simulating Diverse Subjective Experiences ACL 2026 ProSoftArena: Benchmarking Hierarchical Capabilities of Multi-modal Agents in Professional Software Environments CVPR 2026 SVBench: Evaluation of Video Generation Models on Social Reasoning CVPR 2026 Yume1.5: A Text-Controlled Interactive World Generation Model CVPR 2026 Consistency of Compositional Generalization Across Multiple Levels AAAI 2025 InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles EMNLP 2025 MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models ICLR 2025 Multi-Sourced Compositional Generalization in Visual Question Answering IJCAI 2025 OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation CVPR 2025 Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition ICML 2025 Communication-Efficient Federated Non-Linear Bandit Optimization ICLR 2024 Compositional Substitutivity of Visual Reasoning for Visual Question Answering ECCV 2024 ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models NeurIPS 2024 Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024 Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? ICML 2024 Incentivized Truthful Communication for Federated Bandits ICLR 2024 In-Context Compositional Generalization for Large Vision-Language Models EMNLP 2024 PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference NeurIPS 2024 Pure Exploration in Asynchronous Federated Bandits UAI 2024 SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge NeurIPS 2024 Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language CVPR 2023 How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023 Incentivized Communication for Federated Bandits NeurIPS 2023 Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment ICLR 2023 Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS 2023 Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022 Communication Efficient Distributed Learning for Kernelized Contextual Bandits NeurIPS 2022 Communication Efficient Federated Learning for Generalized Linear Bandits NeurIPS 2022 Learning from a Learning User for Optimal Recommendations ICML 2022 Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing AAAI 2022 Learning the Optimal Recommendation from Explorative Users AAAI 2022 Unifying Clustered and Non-stationary Bandits AISTATS 2021