| 1 |
A Foundation Model for Zero-Shot Logical Rule Induction |
提出神经规则归纳器NRI,用于零样本逻辑规则归纳的基础模型。 |
foundation model zero-shot transfer |
✅ |
|
| 2 |
Position: Embodied AI Requires a Privacy-Utility Trade-off |
提出SPINE框架,解决具身智能在敏感环境中部署时的隐私-效用权衡问题 |
embodied AI |
✅ |
|
| 3 |
SoK: Robustness in Large Language Models against Jailbreak Attacks |
提出Security Cube框架,系统评估大语言模型抵抗越狱攻击的鲁棒性 |
large language model |
|
|
| 4 |
JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions |
JASTIN:通过自然语言指令对齐LLM,实现零样本音频和语音评估 |
large language model multimodal instruction following |
|
|
| 5 |
From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning |
提出SQSD方法,量化样本级安全退化风险,提升LLM微调安全性 |
large language model |
|
|
| 6 |
Deployment-Relevant Alignment Cannot Be Inferred from Model-Level Evaluation Alone |
模型层面对齐评估无法推断部署相关的对齐,需系统级评估 |
instruction following |
|
|
| 7 |
Almost-Orthogonality in Lp Spaces: A Case Study with Grok |
提出改进的三函数不等式以解决Lp空间中的几何问题 |
large language model |
|
|
| 8 |
Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior |
利用“思考发声”重塑自动认知模型发现,超越行为数据本身 |
large language model |
|
|
| 9 |
Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation |
Uno-Orchestra:通过选择性委托实现精简的多智能体路由 |
large language model |
|
|
| 10 |
AISSA: Implementation and Deployment of an AI-based Student Slides Analysis tool for Academic Presentations |
AISSA:基于AI的学生幻灯片分析工具,用于提升学术报告质量 |
large language model |
|
|
| 11 |
CodeEvolve: LLM-Driven Evolutionary Optimization with Runtime-Enriched Target Selection for Multi-Language Code Enhancement |
CodeEvolve:基于LLM和运行时信息的演化优化框架,用于多语言代码增强 |
large language model |
|
|
| 12 |
VocalParse: Towards Unified and Scalable Singing Voice Transcription with Large Audio Language Models |
VocalParse:基于大型音频语言模型的统一可扩展歌声转录方法 |
chain-of-thought |
✅ |
|
| 13 |
SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition |
提出SensingAgents多智能体框架,提升IMU活动识别的鲁棒性和零样本性能。 |
large language model |
|
|
| 14 |
SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting |
SADE:基于LLM网络故障排除的症状感知诊断升级方法 |
large language model |
|
|
| 15 |
A Hybrid Method for Low-Resource Named Entity Recognition |
提出一种混合神经符号方法,解决低资源越南语命名实体识别问题。 |
large language model |
|
|