| 1 |
TRIAD: Benchmarking Omni-Modal Ambiguity in Multimodal Large Language Models |
提出TRIAD基准以解决多模态大语言模型中的模糊性问题 |
large language model multimodal |
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| 2 |
Spectral Smoothing and Spiking Perturbations Reconfigure Capability Profiles and Selective Task Performance in Large Language Models |
提出谱平滑与尖峰扰动以重构大语言模型能力特征 |
large language model chain-of-thought |
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| 3 |
The Geometry of Metaphor: Probing and Steering Metaphor Representations in Large Language Models |
提出机制可解释性技术以控制大型语言模型中的隐喻表现 |
large language model |
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| 4 |
Meaning Contracts: Local Semantic Geometry in Large Language Models |
提出局部语义几何以分析大语言模型中的意义契约 |
large language model |
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| 5 |
An Empirical Study of Recent Large Language Models for Knowledge Graph to Text Generation on Standard Benchmarks |
基于大型语言模型的知识图谱到文本生成研究 |
large language model |
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| 6 |
Parameter-Efficient Adaptation of Large Language Models to a Low-Resource Agglutinative Language: A Corpus, Datasets, and a Reproducible Benchmark for the Bashkir Language |
提出低资源语言Bashkir的高效适应方法以改善LLM表现 |
large language model |
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| 7 |
When LLMs Forget What They Believe: Characterizing State Integrity Collapse in Long-Horizon Dialogues |
提出StateTrack-Bench以解决长对话中的状态完整性崩溃问题 |
large language model instruction following |
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| 8 |
Synthetic-to-Real Code-Switched ASR: A Spontaneous Nepali-English Podcast Benchmark |
提出合成到真实的代码切换ASR框架以解决尼泊尔语-英语识别问题 |
foundation model TAMP |
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| 9 |
When More Metadata Misleads: Probing Field-Level Grounding in LLM-Generated Museum Descriptions |
提出元数据条件生成框架以解决博物馆描述生成问题 |
visual grounding |
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| 10 |
Prompting Strategy Effects Depend on the Judge: A Multilingual Study of LLM-as-a-Judge Robustness |
提出多语言评估中的提示策略依赖于评判者的研究 |
chain-of-thought |
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| 11 |
Joint or Per-Option? Compact Encoders for Closed-Set Decisions from 17 Million to 1 Billion Parameters |
提出紧凑编码器以优化闭集决策过程 |
large language model |
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| 12 |
ULME: Predictive Coupling for Mutually Reinforcing Embedding and Language Modeling |
提出ULME框架以解决嵌入与语言建模的统一问题 |
large language model |
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| 13 |
Investigating Multi-Cultural Value Selection Biases in LLMs |
研究多文化价值选择偏差以优化大型语言模型的文化理解 |
large language model |
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| 14 |
A Reality Check of Inference-Time Context Augmentation Methods |
提出评估框架以检验推理时上下文增强方法的有效性 |
large language model |
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| 15 |
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems |
提出IQuest-Q1以提升智能CLI系统的基础能力 |
foundation model |
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| 16 |
Tracing Hallucinations in LLM Reasoning for UML Class Diagram Generation: An Empirical Taxonomy and Mitigation Study |
提出一种分类法以解决LLM生成UML类图中的幻觉问题 |
large language model |
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| 17 |
Silicon Samples Match the Answers but Not the Respondents |
提出响应者覆盖差距以评估合成样本的有效性 |
large language model |
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| 18 |
Compiling Autoregressive LLM Control into Policy-Exact Parallel Inference for Hierarchical RAG |
提出层次化RAG的策略精确并行推理以优化自回归LLM控制 |
large language model |
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| 19 |
SAGE: Sense-Aligned Multimodal Grounding Evaluation with Gloss-Augmented Reasoning |
提出SAGE以解决多模态基础评估问题 |
multimodal |
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| 20 |
AusClinBench: a deterministically scored benchmark of large language models against current Australian clinical policy |
提出AusClinBench基准以评估澳大利亚临床政策下的语言模型 |
large language model |
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| 21 |
POS-Signature Demonstration Retrieval for In-Context Dependency Parsing |
提出POS签名策略以优化上下文依赖解析示例检索 |
chain-of-thought |
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| 22 |
LazyFlash: Forward-Dense, Backward-Sparse Attention for Accelerated Long-Context Fine-Tuning |
提出LazyFlash以加速长序列上下文微调 |
large language model |
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| 23 |
TaxoSAE: Rethinking Sparse Autoencoders through Taxonomic Logic |
提出TaxoSAE以解决稀疏自编码器的知识组织问题 |
large language model |
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| 24 |
Omni-UBench: Benchmarking Omni-Modal LLM-based Guardrails Across Safety, Utility, and Reliability |
提出Omni-UBench以评估多模态LLM安全性问题 |
large language model |
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