Chuanhao Li
Orcid: 0000-0002-5769-3739Affiliations:
- Shanghai Artificial Intelligence Laboratory, China
- Beijing Institute of Technology, China (PhD 2025)
- Northeastern University, Shenyang, China (former)
According to our database1,
Chuanhao Li authored at least 42 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on github.com
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on dl.acm.org
On csauthors.net:
Bibliography
2026
PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference.
CoRR, March, 2026
LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces.
CoRR, February, 2026
CoRR, January, 2026
ProSoftArena: Benchmarking Hierarchical Capabilities of Multimodal Agents in Professional Software Environments.
CoRR, January, 2026
Navigating Truth in Multimodal Fact-checking via Retrieval- and Reasoning-Enhanced Large Language Models.
Proceedings of the ACM Web Conference 2026, 2026
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, December, 2025
CoRR, December, 2025
CoRR, October, 2025
CoRR, October, 2025
CoRR, October, 2025
CoRR, August, 2025
MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams.
CoRR, August, 2025
A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation.
CoRR, June, 2025
SridBench: Benchmark of Scientific Research Illustration Drawing of Image Generation Model.
CoRR, May, 2025
MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models.
CoRR, April, 2025
ARMOR v0.1: Empowering Autoregressive Multimodal Understanding Model with Interleaved Multimodal Generation via Asymmetric Synergy.
CoRR, March, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
ACM Trans. Multim. Comput. Commun. Appl., December, 2024
GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation.
CoRR, 2024
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.
CoRR, 2024
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models.
CoRR, 2024
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Proceedings of the Intelligent Information Processing XI, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021