| 1 |
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models |
提出MER-MCE框架以解决多模态情感原因提取问题 |
multimodal |
✅ |
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| 2 |
Fairness in Large Language Models: A Taxonomic Survey |
综述大型语言模型中的公平性问题及解决方案 |
large language model |
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| 3 |
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model |
提出DiffAgent以解决T2I模型选择效率低下问题 |
large language model |
✅ |
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| 4 |
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods |
提出基于大语言模型的儿童健康社会决定因素提取方法 |
large language model |
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| 5 |
A Comprehensive Survey of Contamination Detection Methods in Large Language Models |
综述大语言模型污染检测方法以应对模型完整性问题 |
large language model |
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| 6 |
Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences |
揭示2022年ACL和EMNLP会议数据集趋势与洞察 |
large language model |
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| 7 |
Learning to Plan for Language Modeling from Unlabeled Data |
提出自监督规划模块以提升语言模型的写作能力 |
large language model |
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| 8 |
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories |
提出EvoCodeBench以解决现有代码生成基准不足的问题 |
large language model |
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| 9 |
CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs |
提出CHOPS以解决客户服务中LLM与用户档案整合不足的问题 |
large language model |
✅ |
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| 10 |
Can Language Models Recognize Convincing Arguments? |
提出语言模型识别有说服力论点的方法 |
large language model |
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| 11 |
CoUDA: Coherence Evaluation via Unified Data Augmentation |
提出CoUDA框架以提升话语连贯性评估 |
large language model |
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| 12 |
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models |
提出红队框架以应对生成模型的安全隐患 |
multimodal |
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| 13 |
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation |
提出RQ-RAG以解决LLM生成不准确响应的问题 |
large language model |
✅ |
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| 14 |
ParaICL: Towards Parallel In-Context Learning |
提出ParaICL以解决输入上下文长度限制问题 |
large language model |
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| 15 |
CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks |
提出CodeBenchGen以解决代码生成基准测试的可扩展性问题 |
large language model |
✅ |
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