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Author

Bing Qin

Observed name: Qin, Bing
OpenAlex ID: A5123536078
Planning Like Human: A Dual-process Framework for Dialogue Planning
2024 · Tao He, Lizi Liao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 17
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AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
2025 · Liang, Jiafeng, Li, Hao, et al. · arXiv (Cornell University) · 6
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The evolution of tool use in LLM agents: from single-tool call to multi-tool orchestration
2026 · Haoyuan Xu, Chang Li, et al. · Artificial Intelligence Review · 4
OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents
2026 · Yulin Hu, Zimo Long, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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How Reliable Are System-One Decisions in Medicine? A Comparative Study of Jev, Jev-like Models, and LLMs
2026 · Du, Yanrui, Zhao, Danyang, et al. · arXiv (Cornell University) · 1
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Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction
2026 · Guo, Jiahe, Guo, Xiangran, et al. · arXiv (Cornell University) · 1
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Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection
2026 · Wang, Haochun, Yang, Chaofen, et al. · arXiv (Cornell University) · 1
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S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs
2026 · Du, Yanrui, Zhao, Sendong, et al. · arXiv (Cornell University) · 1
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MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus
2026 · Du, Yexing, Liu, Kaiyuan, et al. · arXiv (Cornell University) · 1
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TandemBench: Benchmarking Decision Models for Multi-Agent Collaboration
2026 · Li, Baohang, Feng, Xiaocheng, et al. · arXiv (Cornell University)
Self-Evolving Agents Can Repair Failures but Struggle to Generalize from Them
2026 · Zhao, Weixiang, Zhang, Yichen, et al. · arXiv (Cornell University)
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EvolvingBrain: An Adaptive Skill System for Multi-modal Agents Self-Evolution in Open Worlds
2026 · Liu, Runxuan, Shi, Jingqi, et al. · arXiv (Cornell University)
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Proactive Physical AI through Continuous Observation and Timely Intervention
2026 · Yang, Zhenhua, Liang, Jiafeng, et al. · arXiv (Cornell University)
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What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training
2026 · Gu, Yuxuan, Niu, Kequan, et al. · arXiv (Cornell University)
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Adaptive Mutual Distillation for Balanced Multi-Task Post-Training of Large Language Models
2026 · Li, Baohang, Feng, Xiaocheng, et al. · arXiv (Cornell University)
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Didactic knowledge or Clinical Cases? How Data Types Shape Medical Large Language Models
2026 · Fan, Yuzheng, Wang, Haochun, et al. · arXiv (Cornell University)
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Parameter- and Bandwidth-Efficient Edge--cloud Many-to-Many Speech-to-Text Translation
2026 · Du, Yexing, Liu, Kaiyuan, et al. · arXiv (Cornell University)
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Learning to Learn from Multimodal Experience
2026 · Sui, Xingyu, Zhao, Weixiang, et al. · arXiv (Cornell University)
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LSR-Ben: A Logical and Scientific Reasoning Benchmark for Evaluating Process Reward Models
2026 · Sun, Zhouhao, Zhang, Xuan, et al. · arXiv (Cornell University)
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x1: Learning to Think Adaptively Across Languages and Cultures
2026 · Ye, Yangfan, Feng, Xiaocheng, et al. · arXiv (Cornell University)
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AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints
2026 · Zeng, Yirong, Ding, Xiao, et al. · arXiv (Cornell University)
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REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
2026 · Chu, Zheng, Wang, Xiao, et al. · arXiv (Cornell University)
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From Latent Signals to Reflection Behavior: Tracing Meta-Cognitive Activation Trajectory in R1-Style LLMs
2026 · Du, Yanrui, Gao, Yibo, et al. · arXiv (Cornell University)
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GSEM: Graph-based Self-Evolving Memory for Experience Augmented Clinical Reasoning
2026 · Han Xiao, Yuzheng Fan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RL
2026 · Zike Yuan, Han Zhang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 25
Citation count: 34
H-index: 3
I10-index: 1
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