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Xu-Yao Zhang

Teacher Should Think Ahead: Adaptive Continuations for Reliable On-Policy Distillation
2026 · Zhou, Jingang, Zhou, Yuyi, et al. · arXiv (Cornell University)
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APTER: Adaptive Post-Training with Expert-Grounded Rubrics
2026 · Wang, Xukai, Li, Liangqi, et al. · arXiv (Cornell University)
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LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
2026 · Association for Computational Linguistics 2026, Lang, Yong, et al. · Underline Science Inc.
MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models
2026 · Association for Computational Linguistics 2026, chen, yi, et al. · Underline Science Inc.
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
2026 · Song, Siqing, Wang, Chuang, et al. · arXiv (Cornell University)
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CL-VISTA: Benchmarking Continual Learning in Video Large Language Models
2026 · Guo, Haiyang, Shi, Yichen, et al. · arXiv (Cornell University)
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CAMFT: Conflict-Aware Mergeable Fine-Tuning for Large Language Models
2026 · Jingang Zhou, Haiyang Guo, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 7
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