Shibo Hao

Orcid: 0000-0003-1475-8560

According to our database1, Shibo Hao authored at least 33 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CocoaBench: Evaluating Unified Digital Agents in the Wild.
CoRR, April, 2026

IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL.
CoRR, March, 2026

Learning Modal-Mixed Chain-of-Thought Reasoning with Latent Embeddings.
CoRR, February, 2026

Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Concise Reasoning in the Lens of Lagrangian Optimization.
CoRR, October, 2025

Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought.
CoRR, September, 2025

K2-Think: A Parameter-Efficient Reasoning System.
CoRR, September, 2025

Wireless Charging for Uncertain Location Nodes.
IEEE Trans. Mob. Comput., August, 2025

Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation.
CoRR, August, 2025

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective.
CoRR, June, 2025

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models.
CoRR, May, 2025

LLM Pretraining with Continuous Concepts.
CoRR, February, 2025

Linear Correlation in LM's Compositional Generalization and Hallucination.
CoRR, February, 2025

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Offline Reinforcement Learning for LLM Multi-step Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Enhancing innovation performance of SMEs through open innovation and absorptive capacity: the moderating effect of business model.
Technol. Anal. Strateg. Manag., October, 2024

Maximizing Charging Efficiency With Fresnel Zones.
IEEE Trans. Mob. Comput., January, 2024

Offline Reinforcement Learning for LLM Multi-Step Reasoning.
CoRR, 2024

Training Large Language Models to Reason in a Continuous Latent Space.
CoRR, 2024

Pandora: Towards General World Model with Natural Language Actions and Video States.
CoRR, 2024

Flow of Reasoning: Efficient Training of LLM Policy with Divergent Thinking.
CoRR, 2024

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models.
CoRR, 2024

How and when domestic and international collaboration networks influence innovation performance of SMEs: evidence from China.
Bus. Process. Manag. J., 2024

2023
Maximizing Energy Efficiency of Period-Area Coverage With a UAV for Wireless Rechargeable Sensor Networks.
IEEE/ACM Trans. Netw., August, 2023

Neural-Symbolic Interaction and Co-Evolving.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reasoning with Language Model is Planning with World Model.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models.
CoRR, 2022

Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021


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