| 1 |
ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models |
ASRU:激活引导与强化解学习相结合,提升多模态大语言模型的解学习效果 |
large language model multimodal |
|
|
| 2 |
Few-Shot Large Language Models for Actionable Triage Categorization of Online Patient Inquiries |
利用少量样本的大语言模型进行在线患者咨询的可执行分诊分类 |
large language model |
|
|
| 3 |
Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language |
研究表明大语言模型在未见语言的代码生成中存在语义理解鸿沟 |
large language model |
|
|
| 4 |
DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation |
提出DebiasRAG,通过检索增强生成实现大语言模型中的无调优公平生成。 |
large language model |
|
|
| 5 |
Can Large Language Models Imitate Human Speech for Clinical Assessment? LLM-Driven Data Augmentation for Cognitive Score Prediction |
提出基于LLM的数据增强框架,提升认知障碍语音评估的准确性 |
large language model |
|
|
| 6 |
SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory |
提出SMMBench基准,评估智能体在多源异构信息下的多模态记忆能力 |
multimodal |
✅ |
|
| 7 |
Evaluating Chinese Ambiguity Understanding in Large Language Models |
提出CHA-Gen数据集,评估大语言模型对中文歧义的理解能力 |
large language model |
|
|
| 8 |
MHGraphBench: Knowledge Graph-Grounded Benchmarking of Mental Health Knowledge in Large Language Models |
MHGraphBench:基于知识图谱评估大语言模型在精神健康知识方面的能力 |
large language model |
|
|
| 9 |
Measuring Maximum Activations in Open Large Language Models |
测量开放大语言模型中的最大激活值,揭示模型特性与低比特部署的关系 |
large language model |
✅ |
|
| 10 |
Linked Multi-Model Data on Russian Domestic and Foreign Policy Speeches |
构建俄罗斯政务多模态关联数据集,促进政治传播研究与LLM应用。 |
large language model multimodal |
|
|
| 11 |
Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems |
Nexa:响应条件并行-串行编排框架,提升多智能体系统协作效率 |
large language model |
|
|
| 12 |
Improving Cross-Cultural Survey Simulation with Calibrated Value Personas |
提出基于校准价值角色模型的跨文化调查模拟方法,提升LLM在不同文化背景下的预测准确性。 |
large language model |
|
|
| 13 |
Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas |
提出CanvasConvo以解决线性对话结构限制问题 |
large language model |
|
|
| 14 |
DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory |
提出DimMem以解决长效记忆的效率与准确性问题 |
large language model |
✅ |
|
| 15 |
Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering |
提出NCCE框架,将上下文工程转化为推荐问题,实现LLM的个性化上下文优化。 |
large language model |
|
|
| 16 |
Toward LLMs Beyond English-Centric Development |
揭示大语言模型英语中心化偏差,强调多语言独立发展的重要性 |
large language model |
|
|
| 17 |
PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding |
提出并行推测解码(PSD)框架,提升扩散LLM推理效率与生成质量的帕累托最优 |
large language model |
|
|
| 18 |
DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection |
提出DetectRL-X基准,评估多语言和真实场景下LLM生成文本检测器的可靠性。 |
large language model |
|
|