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Yunpu Ma

MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution
2026 · Wang, Zefeng, Yan, Minxi, et al. · arXiv (Cornell University) · 33
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Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents
2026 · Yan, Sikuan, Bahloul, Ahmed, et al. · arXiv (Cornell University) · 18
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Mendel Gödel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution
2026 · Liu, Changzhi, Liu, Yilun, et al. · arXiv (Cornell University) · 9
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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy
2026 · Haozhe Hu, Hao Wu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 7
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MemWM: Memory-Augmented Text-Based World Model
2026 · Yujun Wang, Tao Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4
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WIDE: Boosting Adaptive LLM Inference via Token-level Dynamic Width Pruning
2026 · Hu, Haozhe, Wu, Hao, et al. · arXiv (Cornell University) · 2
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ProactiveLLM: Learning Active Interaction for Streaming Large Language Models
2026 · Tong, Junlong, Zhang, Yao, et al. · arXiv (Cornell University) · 2
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From Recognition to Understanding: Unlocking Cognitive Time Series Reasoning with LLMs
2026 · Qiu, Xin, Tong, Junlong, et al. · arXiv (Cornell University) · 1
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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models
2026 · Yang, Zhiqing, Liu, Yilun, et al. · arXiv (Cornell University) · 1
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MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models
2026 · Pulici, Martino M. L., Chu, Cuong Xuan, et al. · arXiv (Cornell University)
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EchoRL: Reinforcement Learning via Rollout Echoing
2026 · Bi, Jinhe, Aniri, et al. · arXiv (Cornell University)
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Works count: 11
Citation count: 77
H-index: 4
I10-index: 2
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