Hao Liang
Affiliations:- Peking University, Center for Data Science, Beijing, China
According to our database1,
Hao Liang
authored at least 38 papers
between 2024 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
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Bibliography
2025
Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration.
CoRR, October, 2025
CoRR, October, 2025
Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge.
CoRR, September, 2025
Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models.
CoRR, June, 2025
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions.
CoRR, June, 2025
LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning.
CoRR, June, 2025
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens.
CoRR, May, 2025
CoRR, May, 2025
CoRR, March, 2025
CoRR, March, 2025
CoRR, February, 2025
CoRR, February, 2025
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.
CoRR, 2024
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models.
CoRR, 2024
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search.
CoRR, 2024
CoRR, 2024
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark.
CoRR, 2024
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024