| 1 |
Multimodal Large Language Models to Support Real-World Fact-Checking |
提出多模态大语言模型以支持现实世界的事实核查 |
large language model multimodal |
|
|
| 2 |
Can Large Language Models do Analytical Reasoning? |
提出分治法以提升大型语言模型的分析推理能力 |
large language model chain-of-thought |
|
|
| 3 |
On the Origins of Linear Representations in Large Language Models |
提出简单潜变量模型以揭示大语言模型线性表示的起源 |
large language model |
|
|
| 4 |
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ |
提出MultiQ基准评估大型语言模型的多语言能力 |
large language model |
|
|
| 5 |
Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese |
提出高效自指令方法以快速生成日语指令数据和评估基准 |
large language model |
|
|
| 6 |
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models |
提出Mixture-of-LoRAs以解决多任务学习中的干扰问题 |
large language model |
|
|
| 7 |
Levels of AI Agents: from Rules to Large Language Models |
提出AI代理的六个层级以提升智能决策能力 |
large language model |
|
|
| 8 |
SaulLM-7B: A pioneering Large Language Model for Law |
提出SaulLM-7B以解决法律文本理解与生成问题 |
large language model |
|
|
| 9 |
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect |
提出ShortGPT以解决大语言模型冗余层问题 |
large language model |
|
|
| 10 |
A Modular Approach for Multimodal Summarization of TV Shows |
提出模块化方法以解决电视节目多模态摘要问题 |
multimodal |
|
|
| 11 |
PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion |
提出PPTC-R基准以评估大语言模型在PowerPoint任务完成中的鲁棒性 |
large language model |
✅ |
|
| 12 |
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models |
提出CLongEval以解决长上下文大语言模型评估不足问题 |
large language model |
|
|
| 13 |
Learning to Decode Collaboratively with Multiple Language Models |
提出多语言模型协作解码方法以提升任务性能 |
large language model instruction following |
✅ |
|
| 14 |
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions |
构建KIWI数据集以提升LLM在知识密集写作中的指令遵循能力 |
large language model instruction following |
|
|
| 15 |
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification |
提出X-Shot以同时解决频繁、少样本和零样本学习问题 |
large language model instruction following |
|
|
| 16 |
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models |
量化代码生成能力评估中的数据污染问题 |
large language model |
|
|
| 17 |
WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off |
提出WaterMax以解决大语言模型水印检测与质量的权衡问题 |
large language model |
✅ |
|
| 18 |
FaaF: Facts as a Function for the evaluation of generated text |
提出FaaF以解决生成文本的事实验证问题 |
large language model |
|
|
| 19 |
Emojinize: Enriching Any Text with Emoji Translations |
提出Emojinize以解决文本表情符号翻译问题 |
large language model |
|
|
| 20 |
GPTopic: Dynamic and Interactive Topic Representations |
提出GPTopic以解决传统主题建模的可访问性问题 |
large language model |
✅ |
|
| 21 |
A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation |
提出多源知识基准以解决对话生成中的知识检索问题 |
large language model |
|
|
| 22 |
Japanese-English Sentence Translation Exercises Dataset for Automatic Grading |
提出自动评估日英翻译练习的系统以提升语言学习效果 |
large language model |
|
|