Mengkang Hu
Orcid: 0009-0009-3779-3378
According to our database1,
Mengkang Hu authored at least 40 papers
between 2022 and 2026.
Collaborative distances:
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Bibliography
2026
ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents.
CoRR, April, 2026
CoRR, March, 2026
Tool-Genesis: A Task-Driven Tool Creation Benchmark for Self-Evolving Language Agent.
CoRR, March, 2026
BiManiBench: A Hierarchical Benchmark for Evaluating Bimanual Coordination of Multimodal Large Language Models.
CoRR, February, 2026
OffSeeker: Online Reinforcement Learning Is Not All You Need for Deep Research Agents.
CoRR, January, 2026
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.
Trans. Mach. Learn. Res., 2026
2025
Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback.
CoRR, December, 2025
HyCodePolicy: Hybrid Language Controllers for Multimodal Monitoring and Decision in Embodied Agents.
CoRR, August, 2025
AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMs.
CoRR, August, 2025
CoRR, July, 2025
CoRR, July, 2025
RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.
CoRR, June, 2025
Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation.
CoRR, June, 2025
OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.
CoRR, May, 2025
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.
CoRR, March, 2025
ECM: A Unified Electronic Circuit Model for Explaining the Emergence of In-Context Learning and Chain-of-Thought in Large Language Model.
CoRR, February, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
EMOS: <i>E</i>mbodiment-aware Heterogeneous <i>M</i>ulti-robot <i>O</i>perating <i>S</i>ystem with LLM Agents.
CoRR, 2024
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.
CoRR, 2024
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.
CoRR, 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022