| 1 |
NEX: Neuron Explore-Exploit Scoring for Label-Free Chain-of-Thought Selection and Model Ranking |
NEX:基于神经元探索-利用评分的无标签CoT选择与模型排序 |
large language model chain-of-thought |
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| 2 |
XEmoGPT: An Explainable Multimodal Emotion Recognition Framework with Cue-Level Perception and Reasoning |
XEmoGPT:提出一种可解释的多模态情感识别框架,关注线索级感知与推理。 |
multimodal |
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| 3 |
Day-Ahead Electricity Price Forecasting for Volatile Markets Using Foundation Models with Regularization Strategy |
提出带正则化策略的基础模型,用于波动市场中的日前电力价格预测。 |
foundation model |
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| 4 |
A Guide to Large Language Models in Modeling and Simulation: From Core Techniques to Critical Challenges |
为建模与仿真应用提供LLM使用指南,强调设计原则、诊断策略和评估方法 |
large language model |
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| 5 |
A Unified Multimodal Framework for Dataset Construction and Model-Based Diagnosis of Ameloblastoma |
提出统一多模态框架,用于成釉细胞瘤数据集构建与模型诊断。 |
multimodal |
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| 6 |
Clinical Validation of Medical-based Large Language Model Chatbots on Ophthalmic Patient Queries with LLM-based Evaluation |
评估医学大语言模型在眼科患者咨询中的表现,并验证基于LLM的评估方法 |
large language model |
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| 7 |
Position: Universal Time Series Foundation Models Rest on a Category Error |
质疑时间序列通用基础模型,提出因果控制代理范式以提升泛化能力。 |
foundation model |
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| 8 |
Hallucination-Resistant Security Planning with a Large Language Model |
提出一种抗幻觉的安全规划框架,利用大语言模型提升事件响应效率。 |
large language model |
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| 9 |
Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink |
提出Surgery,通过注意力Sink机制缓解大语言模型有害微调带来的安全风险。 |
large language model |
✅ |
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| 10 |
Exploring AI-Augmented Sensemaking of Patient-Generated Health Data: A Mixed-Method Study with Healthcare Professionals in Cardiac Risk Reduction |
利用AI增强患者生成健康数据的理解:心脏风险降低中医疗专业人员的混合方法研究 |
large language model multimodal |
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| 11 |
AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions |
AgenticPay:一个用于买卖交易的多智能体LLM协商系统 |
large language model |
✅ |
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| 12 |
Split Personality Training: Revealing Latent Knowledge Through Alternate Personalities |
提出分裂人格训练SPT,通过交替人格揭示大语言模型中的潜在知识 |
large language model |
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| 13 |
DyTopo: Dynamic Topology Routing for Multi-Agent Reasoning via Semantic Matching |
DyTopo:基于语义匹配的动态拓扑多智能体推理框架 |
large language model |
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| 14 |
Compound Deception in Elite Peer Review: A Failure Mode Taxonomy of 100 Fabricated Citations at NeurIPS 2025 |
揭示AI生成文献引用欺骗:NeurIPS 2025中100个伪造引用的失效模式分析 |
large language model |
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| 15 |
Towards Green AI: Decoding the Energy of LLM Inference in Software Development |
分析LLM推理能耗,提出抑制“胡言乱语”行为以降低软件开发能耗 |
large language model |
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| 16 |
Determining Energy Efficiency Sweet Spots in Production LLM Inference |
提出Transformer架构能耗分析模型,优化LLM推理能效 |
large language model |
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| 17 |
Graph-based Agent Memory: Taxonomy, Techniques, and Applications |
综述:基于图结构的Agent记忆,实现知识积累、迭代推理和自我进化。 |
large language model |
✅ |
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| 18 |
Generative Ontology: When Structured Knowledge Learns to Create |
提出生成式本体框架,融合本体知识与大语言模型创造力,实现结构化内容生成。 |
large language model |
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| 19 |
Capture the Flags: Family-Based Evaluation of Agentic LLMs via Semantics-Preserving Transformations |
提出Evolve-CTF,通过语义保持变换评估Agentic LLM在CTF任务中的鲁棒性。 |
large language model |
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| 20 |
SDFP: Speculative Decoding with FIT-Pruned Models for Training-Free and Plug-and-Play LLM Acceleration |
SDFP:基于FIT剪枝模型的免训练推测解码,加速LLM推理。 |
large language model |
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| 21 |
RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs |
提出RaBiT以解决大语言模型量化中的特征共适应问题 |
large language model |
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| 22 |
EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering |
提出熵引导的逐步扩展(EGSS)框架,提升软件工程任务性能并降低计算开销。 |
large language model |
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