| 1 |
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation |
提出基于代理的语言模型不确定性评估方法,提升指令遵循能力。 |
instruction following |
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| 2 |
LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play |
提出LLM Discussion框架,通过讨论和角色扮演提升大语言模型的创造力 |
large language model |
✅ |
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| 3 |
SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora |
提出SaudiBERT,一个基于沙特方言语料预训练的大型语言模型,显著提升沙特方言文本理解任务性能。 |
large language model |
✅ |
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| 4 |
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models |
综述检索增强大语言模型(RA-LLMs):利用外部知识提升生成质量 |
large language model |
✅ |
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| 5 |
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval |
提出Re-KGR,通过自精炼知识检索缓解大语言模型中的幻觉问题 |
large language model |
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| 6 |
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts |
提出LTGen基准,研究知识图谱增强大语言模型在长尾知识问答中的有效性 |
large language model |
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| 7 |
LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based Parsing |
LyS提出基于图解析的多模态情感链接端到端原型系统,用于对话情感原因分析。 |
multimodal |
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| 8 |
Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? |
利用大语言模型复现智能辅导系统对开放式数学题的反馈 |
large language model |
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| 9 |
Execution-Based Evaluation of Natural Language to Bash and PowerShell for Incident Remediation |
提出基于执行的评估平台,用于评估LLM生成的Bash和PowerShell脚本在事件修复中的有效性。 |
large language model |
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| 10 |
LLM-Generated Black-box Explanations Can Be Adversarially Helpful |
揭示LLM黑盒解释的对抗性帮助风险,可能误导人类和LLM评估器 |
large language model |
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| 11 |
What Can Natural Language Processing Do for Peer Review? |
探讨自然语言处理在同行评审中的应用,为机器辅助评审提供基础。 |
large language model |
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| 12 |
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL |
提出PromptSRL,评估大型语言模型在语义角色标注任务中捕获结构化语义的能力。 |
large language model |
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| 13 |
Pruning as a Domain-specific LLM Extractor |
提出D-Pruner,用于领域特定大语言模型的双重剪枝压缩,提升效率。 |
large language model |
✅ |
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| 14 |
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI |
提出CardGen流水线,自动生成模型和数据卡,提升负责任AI文档的完整性和客观性。 |
large language model |
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