| 1 |
Textual User Taste: Natural-Language User Context for Foundation-Model Recommender System at Scale |
提出文本用户品味以优化推荐系统用户上下文问题 |
large language model foundation model |
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| 2 |
Signatures of semantic search in the activations of large language models |
提出机制可解释性技术以揭示大语言模型的语义搜索特征 |
large language model |
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| 3 |
Tool Mediation Alters Refusal Mechanisms in Large Language Models |
探讨工具介导如何改变大型语言模型的拒绝机制 |
large language model |
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| 4 |
What Drives Citations in Production Large Language Models? An Observational Multi-Method Study of Two Million AI Citations Across Ten Thousand Web Pages |
提出多方法研究以揭示生产大型语言模型引用驱动因素 |
large language model |
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| 5 |
SeLMRoute: Probabilistic Semantic Evidence for Large Language Model Routing |
提出SeLMRoute以优化大语言模型路由问题 |
large language model |
✅ |
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| 6 |
From One-Shot Generation to Incremental Music Composition: Adapting a General-Purpose Instruction LLM for Persistent Symbolic Editing |
提出基于LLM的增量音乐创作方法以解决传统生成系统局限 |
large language model instruction following |
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| 7 |
Not All Thinking is Created Equal: Latent Reasoning Discovers a Recurrent Search Algorithm for Depth Generalization |
提出潜在推理机制以解决深度泛化问题 |
large language model chain-of-thought |
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| 8 |
AUV-Bench: Aesthetic Understanding and Generation Evaluation for User Interfaces |
提出AUV-Bench以解决用户界面美学评估与生成问题 |
foundation model multimodal |
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| 9 |
QC-Stark: A Multi-Task Benchmark Revealing Capability Dissociations in LLMs Evaluated on Quantum Computing Tasks |
提出QC-Stark基准以评估LLMs在量子计算任务中的能力差异 |
large language model |
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| 10 |
Share-Borne AI Virus: Memory-Hopping Attacks Across LLM Agents |
提出共享AI病毒以解决大语言模型的安全隐患问题 |
large language model |
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| 11 |
SRHarness: A Harness for Agentic Symbolic Regression |
提出SRHarness以提升代理符号回归的性能 |
large language model |
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| 12 |
TempoKV: Timely Staging of LLM KV Caches for Memory-Semantic Flash |
提出TempoKV以优化LLM KV缓存的内存管理问题 |
large language model |
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| 13 |
TCSAlgBench: Benchmarking Automated Proving for Research-Level Theoretical Computer Science |
提出TCSAlgBench以评估自动证明在理论计算机科学中的应用 |
large language model |
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| 14 |
SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents |
提出SEABench以研究自演化智能体中的内生性不对齐问题 |
chain-of-thought |
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| 15 |
IMC-CLINIC: Coupled Loss-Informed Newton Iterations for Clipping in Analog In-Memory Computing |
提出IMC-CLINIC以解决模拟内存计算中的剪切优化问题 |
large language model |
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| 16 |
"Nothing to See Here'': Unintended Disclosure through Revision Traces of LLM Deliverables |
提出RevLeakBench以解决LLM交互中的意外信息泄露问题 |
large language model |
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| 17 |
Jev thinks "I don't know'', but doesn't say it: Introducing Sys1Cal-v1 Dataset for Probability Calibration |
提出Sys1Cal-v1数据集以解决概率校准问题 |
foundation model |
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| 18 |
Narrowing the Horizon: Quantifying Topic Saliency Shifts in Generative Monoculture |
提出主题显著性测量方法以应对生成单一文化问题 |
large language model |
✅ |
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| 19 |
Towards Reliable AI Data Scientists: Data Agents with Workflow Harnesses |
提出数据代理与工作流框架以解决数据科学可靠性问题 |
large language model |
✅ |
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| 20 |
EP-Mem: Elastic Privacy Memory for Social Relationship-Aware LLM Agents |
提出EP-Mem以解决社交关系感知LLM代理的隐私问题 |
large language model |
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| 21 |
Beneath the Tokens: A Performance Engineering Study of Multi-Token Prediction in GPU-Accelerated LLM Inference |
提出多令牌预测以提升GPU加速LLM推理性能 |
large language model |
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| 22 |
Persona Following Is Not Selective Control: The Neutrality Gap in LLM User Simulation |
提出中立性差距以解决大语言模型用户模拟中的选择性控制问题 |
large language model |
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| 23 |
Automated feature engineering, AutoML, and decision-focused learning for improved energy consumption forecasting |
提出自动特征工程以提升能源消费预测精度 |
TAMP |
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| 24 |
Action-Space Shaping for LLM Agents: Measuring and Mitigating Tool-Schema Bias |
提出可执行变换框架以解决工具模式偏差问题 |
large language model |
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| 25 |
PDEU-Bench: Benchmarking the Personalized Planning Lifecycle of Tool-Calling LLM Agents |
提出PDEU-Bench以评估个性化工具调用LLM代理的规划生命周期 |
large language model |
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| 26 |
One Readout, Many Repairs: Diffusion-Guided Hierarchical Search for Tool-Agent Repair |
提出ReCommit框架以解决工具代理修复问题 |
large language model |
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| 27 |
PainterBench: A Figural Divergent-Thinking Benchmark for Tool-Using Language Models |
提出PainterBench以评估工具使用语言模型的图形发散思维能力 |
multimodal |
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