Guiyang Hou

Orcid: 0009-0009-9163-0633

According to our database1, Guiyang Hou authored at least 21 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution.
CoRR, March, 2026

Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM's Theory of Mind in Egocentric Videos.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Active Confusion Expression in Large Language Models: Leveraging World Models toward Better Social Reasoning.
CoRR, October, 2025

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models.
CoRR, August, 2025

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence.
CoRR, May, 2025

ViewSpatial-Bench: Evaluating Multi-perspective Spatial Localization in Vision-Language Models.
CoRR, May, 2025

Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning.
CoRR, May, 2025

A Survey on (M)LLM-Based GUI Agents.
CoRR, April, 2025

Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks.
CoRR, March, 2025

Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systems.
CoRR, March, 2025

Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Scaling LLMs' Social Reasoning: Sprinkle Cognitive "Aha Moment" into Fundamental Long-thought Logical Capabilities.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Specialized Mathematical Solving by a Step-By-Step Expression Chain Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation.
CoRR, 2024

Entering Real Social World! Benchmarking the Theory of Mind and Socialization Capabilities of LLMs from a First-person Perspective.
CoRR, 2024

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-Mind.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023


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