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Hao Gu

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
2026 · Lujun Li, Qiyuan Zhu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 3
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Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging
2026 · Qiyuan Zhu, Dezhi Li, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs
2026 · Binxing Xu, Hao Gu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training–Inference Mismatch
2026 · Hao Gu, Hao Wang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
2026 · Hao Wang, Hao Gu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models
2026 · Tianle Chen, Pengyu Cheng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 6
Citation count: 3
H-index: 1
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