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Chenglong Wang

Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence
2026 · Xinyu Liu, Kechen Jiao, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 13
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VGI-Bench: Probing Visual Intelligence in Video Generation Models
2026 · Xuan He, Cong Wei, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward Construction
2026 · Wang, Chenglong, Zhu, Ziming, et al. · arXiv (Cornell University) · 3
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MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning
2026 · Wang, Chenglong, Huo, Yifu, et al. · arXiv (Cornell University) · 3
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Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning
2026 · Huo, Yifu, Xing, Shunjie, et al. · arXiv (Cornell University) · 2
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FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models
2026 · Ye, Kaiyang, Ge, Yuan, et al. · arXiv (Cornell University) · 1
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SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
2026 · Huo, Yifu, Wang, Chenglong, et al. · arXiv (Cornell University) · 1
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MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration
2026 · Liu, Xinyu, Liu, Xin, et al. · arXiv (Cornell University) · 1
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HybridThinker: Efficient Chain-of-Thought Reasoning via Compressed Memory and Transient Thought Steps
2026 · Xin Liu, Runsong Zhao, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Chart2SVG: Editable SVG Generation from Raster Chart Images
2026 · Cui, Jinning, Chen, Lu, et al. · arXiv (Cornell University)
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APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards
2026 · Chang, Kaiyan, Zhu, Chenwei, et al. · arXiv (Cornell University)
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ToFu: A White-Box, Token-Efficient Agent Harness for Researchers
2026 · Junhao Ruan, Yuan Ge, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
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Works count: 12
Citation count: 30
H-index: 3
I10-index: 1
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