| 1 |
SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs |
SWE-Synth:合成可验证的缺陷修复数据,赋能大语言模型解决真实缺陷 |
large language model |
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| 2 |
AI with Emotions: Exploring Emotional Expressions in Large Language Models |
探索大语言模型的情感表达能力,为情感AI应用奠定基础 |
large language model |
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| 3 |
HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models |
HealthGenie:结合知识图谱与大语言模型,提供个性化健康饮食指导 |
large language model |
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| 4 |
Optimizing SIA Development: A Case Study in User-Centered Design for Estuary, a Multimodal Socially Interactive Agent Framework |
Estuary框架:面向社交互动Agent的用户中心设计案例研究 |
multimodal |
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| 5 |
UFO2: The Desktop AgentOS |
UFO2:用于Windows桌面的多智能体AgentOS,提升桌面自动化任务的鲁棒性和准确性。 |
large language model multimodal |
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| 6 |
PolicyEvol-Agent: Evolving Policy via Environment Perception and Self-Awareness with Theory of Mind |
提出PolicyEvol-Agent,通过环境感知、自我认知和心智理论演化策略,提升多智能体博弈性能。 |
large language model |
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| 7 |
A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents |
Safe-BeAl框架:提升LLM具身智能体任务规划安全性并进行基准测试 |
large language model |
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| 8 |
Risk Assessment Framework for Code LLMs via Leveraging Internal States |
PtTrust:利用内部状态预训练的代码大语言模型风险评估框架 |
large language model |
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| 9 |
Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence |
CircuitMind:多智能体协作与集体智慧驱动的优化电路生成框架 |
large language model |
✅ |
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| 10 |
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model |
ReasoningV:自适应混合推理模型,高效生成Verilog代码 |
large language model |
✅ |
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| 11 |
Learning from Reasoning Failures via Synthetic Data Generation |
提出基于推理失败分析的合成数据生成方法,提升大模型推理能力 |
multimodal |
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| 12 |
Biased by Design: Leveraging AI Biases to Enhance Critical Thinking of News Readers |
利用AI偏见增强新闻读者批判性思维的宣传检测工具设计 |
large language model |
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