郑静楠，新加坡国立大学博士生，ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation；
陈奕龙，中科院信工所博士生，DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion；
李澄，中科院软件所硕士生，Incorporating Cultural Understanding into LLMs；
史丹，天津大学博士生，IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons；
林浩坤，自动化所与香港城市大学联合培养博士生，DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs；
孔晓宇，中国科学技术大学硕士生，Customizing Language Models with Instance-wise LoRA for Sequential Recommendation；
杨文恺，中国人民大学博士生，Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents；
兰天，北京理工大学博士研究生，CriticEval: Evaluating Large Language Model as Critic；
吴家仪，华东师范大学博士生，Cross-model Control: Improving Multiple Large Language Models in One-time Training；
苏肇辰，苏州大学硕士生，ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM；
陈奕廷，上海交通大学博士生，What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information；
刘佳翔，中国科学院大学本科生，Reasons and Solutions for the Decline in Model Performance after Editing；
陈宇昕，新加坡国立大学硕士生，On Softmax Direct Preference Optimization for Recommendation；
夏俊恺，上海交通大学硕士生，Language-Driven Interactive Traffic Trajectory Generation；
万颖佳，剑桥大学硕士生，AutoPSV: Automated Process-Supervised Verifier；
李昊轩，北京大学博士，A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs；
陈铭浩，杭州电子科技大学特聘副教授，AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning。
