🧑🔬 Bing Qin — papers of 2026 — 11 papers, the most cited first11 papers · all years of Bing QinCulture-Aware Machine Translation in Large Language Models: Benchmarking and InvestigationAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al.2026 · 2 citationsPsychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session ConversationsFindings of the Association for Computational LinguisticsBichen Wang, Junzhe Wang, Yixin Sun, et al.2026 · 2 citationsMAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Zhao, Hepeng Wang, Xiao Ding, et al.2026 · 1 citationOn Safety Risks in Experience-Driven Self-Evolving AgentsFindings of the Association for Computational LinguisticsWeixiang Zhao, Yichen Zhang, Yingshuo Wang, et al.2026 · 1 citationTEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue AgentAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Sui, Yanyan Zhao, Yulin Hu, et al.2026 · 1 citationx1: Learning to Think Adaptively Across Languages and CulturesFindings of the Association for Computational LinguisticsYangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.2026 · 1 citationFine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory ManagementAnnual Meeting of the Association for Computational Linguistics (ACL)Weitao Ma, Xiaocheng Feng, Lei Huang, et al.2026From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsGuo Tang, Ke Cheng, Huiming Fan, et al.2026Large Language Models Are Still Misled by Simple Bias EnsemblesFindings of the Association for Computational LinguisticsZhouhao Sun, Zhiyuan Kan, Xiao Ding, et al.2026MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language ModelsFindings of the Association for Computational LinguisticsPeng Wang, Yuxiong Yan, Xiao Ding, et al.2026PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rongchuan Mu, Zexin Wang, Qianyu Wang, et al.2026This page in Markdown → https://md.research.elamur.ai/free/en/authors/bing-qin/year/2026/