| 1 |
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses |
提出Re-Ex以减少大型语言模型响应中的事实错误 |
large language model |
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| 2 |
Probing Multimodal Large Language Models for Global and Local Semantic Representations |
探究多模态大语言模型的全局与局部语义表示 |
large language model multimodal |
✅ |
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| 3 |
Deep Learning Detection Method for Large Language Models-Generated Scientific Content |
提出AI-Catcher以检测大型语言模型生成的科学内容 |
large language model multimodal |
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| 4 |
The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes |
利用大型语言模型预测术后风险以提升围手术期护理 |
large language model foundation model |
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| 5 |
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning |
提出MathSensei以解决复杂数学推理问题 |
large language model chain-of-thought |
✅ |
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| 6 |
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits |
提出1-bit LLM以降低大语言模型的成本与复杂性 |
large language model |
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| 7 |
Massive Activations in Large Language Models |
揭示大语言模型中的大规模激活现象及其影响 |
large language model |
✅ |
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| 8 |
Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue |
揭示多轮对话中大型语言模型的安全漏洞 |
large language model |
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| 9 |
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey |
综述大语言模型在表格数据上的应用与挑战 |
large language model |
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| 10 |
EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models |
提出EmMark以解决嵌入式量化大语言模型的知识产权保护问题 |
large language model |
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| 11 |
Acquiring Linguistic Knowledge from Multimodal Input |
通过多模态输入提升语言模型的数据效率 |
multimodal |
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| 12 |
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks |
提出Tower模型以提升多任务翻译工作流的性能 |
large language model |
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| 13 |
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers |
提出GPO以优化大语言模型的提示生成 |
large language model |
✅ |
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| 14 |
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents |
提出BASES框架以解决大规模用户搜索行为模拟问题 |
large language model |
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| 15 |
Training-Free Long-Context Scaling of Large Language Models |
提出双块注意力机制以解决长文本处理问题 |
large language model |
✅ |
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| 16 |
Investigating Continual Pretraining in Large Language Models: Insights and Implications |
提出持续预训练方法以提升大语言模型的适应性与知识保留 |
large language model |
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| 17 |
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models |
提出Fact-and-Reflection以改善大语言模型的置信度校准问题 |
large language model |
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| 18 |
Creating Suspenseful Stories: Iterative Planning with Large Language Models |
提出基于迭代提示的规划方法以生成悬念故事 |
large language model |
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| 19 |
Measuring Vision-Language STEM Skills of Neural Models |
提出新数据集以评估神经模型的STEM技能 |
foundation model multimodal |
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| 20 |
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data |
提出QRData基准以评估LLMs在数据驱动的统计与因果推理能力 |
large language model chain-of-thought |
✅ |
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| 21 |
Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articles |
提出ArPro数据集以解决多语言宣传检测问题 |
large language model multimodal |
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| 22 |
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning |
提出MELoRA以解决低秩适配器的参数效率问题 |
large language model instruction following |
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| 23 |
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems |
提出一种方法以解决RAG系统中的数据泄露问题 |
instruction following |
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| 24 |
LLMGuard: Guarding Against Unsafe LLM Behavior |
提出LLMGuard以解决大型语言模型的不安全行为问题 |
large language model |
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| 25 |
Inducing Generalization across Languages and Tasks using Featurized Low-Rank Mixtures |
提出Featurized Low-rank Mixtures以解决多语言多任务适应问题 |
large language model |
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| 26 |
Adversarial Math Word Problem Generation |
提出对抗性数学文字题生成以确保公平评估 |
large language model |
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| 27 |
Deep Learning Based Named Entity Recognition Models for Recipes |
提出基于深度学习的命名实体识别模型以解析食谱文本 |
large language model |
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| 28 |
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies |
系统评估GPT-4在算法问题上的提示策略 |
large language model |
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| 29 |
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG |
提出AmbigNLG以解决NLG任务中的指令模糊性问题 |
large language model |
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| 30 |
Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs |
提出一系列测试以评估大型语言模型的政治世界观可靠性 |
large language model |
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| 31 |
SoFA: Shielded On-the-fly Alignment via Priority Rule Following |
提出优先规则遵循以解决大语言模型对人类价值观的对齐问题 |
large language model |
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| 32 |
RECOST: External Knowledge Guided Data-efficient Instruction Tuning |
提出RECOST以解决数据高依赖性的问题 |
large language model |
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| 33 |
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection |
评估大型语言模型在领域外意图检测中的表现 |
large language model |
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