| 1 |
The Image Still Has a Say: Final-Answer Repair for Multimodal Chain-of-Thought |
提出最终答案修复方法以解决多模态推理中的答案准确性问题 |
multimodal chain-of-thought |
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| 2 |
Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models |
提出一种轻量级方法直接从语音中检测代码切换 |
foundation model |
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| 3 |
From Hindsight to Foresight: Dissecting Clinical Evidence Acquisition in Large Language Models |
提出从事后分析到前瞻性诊断的方法以解决LLMs的临床证据获取问题 |
large language model |
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| 4 |
Are We Testing Too Much? A Survey of Benchmark Compression for Efficient Evaluation of Large Language Models |
提出基准压缩方法以降低大型语言模型评估成本 |
large language model |
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| 5 |
Beyond Belief Nesting: Rethinking Higher-Order Theory of Mind in Large Language Models |
提出HopToM与HopTrace以解决高阶心智理论评估问题 |
large language model |
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| 6 |
Understanding Machine Taste: Aesthetic Agreement Across Foundation Models in K-pop |
提出机器审美理解方法以评估K-pop创意内容 |
foundation model |
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| 7 |
Decouple to Forget: Semantic Mediation for Sensitive Unlearning in Large Language Models |
提出D2F方法以解决大语言模型中的敏感信息遗忘问题 |
large language model |
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| 8 |
From Relation-Specific Heads to Shared Interventions: Contextual Entrainment in Language Models |
提出共享干预机制以解决语言模型的上下文依赖问题 |
large language model |
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| 9 |
Jev-ToM: Evaluating Theory of Mind in Typed Decision Models |
提出Jev-ToM以优化理论心智模型的选择过程 |
large language model |
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| 10 |
The Many Morals of AI: The cautionary bias of North American news narratives in global perspective |
分析北美新闻叙事对人工智能的警示性偏见 |
large language model |
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| 11 |
Lightweight but Linguistically Fair? Quantisation Robustness across Bavarian, German, and English |
研究量化鲁棒性以解决区域语言模型的公平性问题 |
large language model |
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| 12 |
Virtual Head Attention |
提出虚拟头注意力机制以解决长上下文模型的缓存与计算问题 |
large language model |
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| 13 |
TRACESTEER: Trace Driven Activation Steering for Hallucination Mitigation in Diffusion Language Models |
提出TRACESTEER以解决扩散语言模型中的幻觉问题 |
large language model |
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| 14 |
SparPR: Runtime KV-Cache Recovery for Resource-Constrained LLM Inference on Consumer Hardware |
提出SparPR以解决消费硬件上LLM推理的KV缓存问题 |
large language model |
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| 15 |
Machine--human agreement in marking undergraduate assignments is specific to model, prompt and institution |
评估本科作业的机器与人类评分一致性受模型、提示和机构影响 |
large language model |
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| 16 |
Perturbation, Not Provenance: Why Activation Steering Does Not Make a Robust Text Watermark |
提出激活引导方法以解决文本水印鲁棒性不足问题 |
large language model |
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| 17 |
GENDIS: Gender-Related Discourse and Stance in Multilingual YouTube Comments from India, Kenya, and Nigeria |
提出GENDIS数据集以解决性别相关在线内容研究不足问题 |
large language model |
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| 18 |
Encoding Context into LLM Weights: What Makes It Context? |
提出上下文编码方法以提升大语言模型的推理能力 |
large language model |
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