| 1 |
Task-Specific Multimodal Question Answering Agents via Confidence Calibration and Incremental Reasoning for QANTA 2026 |
提出任务特定的多模态问答代理以解决QANTA 2026挑战 |
multimodal |
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| 2 |
Augmenting Fundamental Analysis with Large Language Models: A RAG-Based System for Generating Investor Briefs |
提出基于RAG的系统以增强公司基本面分析 |
large language model |
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| 3 |
Test-Time Scaling for Small VLMs on Multilingual Visual MCQ |
提出测试时缩放方法以提升小型视觉语言模型的推理能力 |
large language model multimodal |
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| 4 |
Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works |
提出机器学习方法以实现伏尔泰作品的自动主题索引 |
large language model |
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| 5 |
Self-Guided Test-Time Training for Long-Context LLMs |
提出自指导测试时训练以提升长上下文LLM的性能 |
large language model |
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| 6 |
DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data |
提出DKCD框架以解决高专业领域非结构化数据因果发现问题 |
large language model |
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| 7 |
Towards Detecting Inconsistencies in End-to-end Generated TODs |
提出基于约束满足问题的对话一致性检测方法 |
large language model |
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