| 1 |
Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining |
提出MuseGraph以解决图挖掘任务中的模型重训练问题 |
large language model foundation model chain-of-thought |
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| 2 |
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data |
提出多模态大语言模型以提高慢性病预测准确性 |
large language model multimodal |
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| 3 |
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access |
提出无需Logit访问的保形预测方法以解决LLM不确定性量化问题 |
large language model |
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| 4 |
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal |
提出自合成复习方法以解决大语言模型的灾难性遗忘问题 |
large language model |
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| 5 |
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact |
提出IntactKV以解决大语言模型量化性能下降问题 |
large language model |
✅ |
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| 6 |
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models |
提出动态主动学习结合LoRA以解决大语言模型数据高效微调问题 |
large language model |
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| 7 |
LM4OPT: Unveiling the Potential of Large Language Models in Formulating Mathematical Optimization Problems |
提出LM4OPT以解决自然语言到数学优化问题的转化挑战 |
large language model |
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| 8 |
LLMCRIT: Teaching Large Language Models to Use Criteria |
提出LLMCRIT框架以提升大型语言模型的任务反馈能力 |
large language model |
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| 9 |
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers |
评估大型语言模型在短篇小说摘要中的表现与作者合作 |
large language model |
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| 10 |
LAB: Large-Scale Alignment for ChatBots |
提出LAB以解决大规模聊天机器人训练中的可扩展性问题 |
large language model instruction following |
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| 11 |
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization |
提出AI生成文本取证系统以应对信息生态风险 |
large language model |
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| 12 |
ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies |
提出ParallelPARC以生成复杂自然语言类比 |
large language model |
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| 13 |
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling |
提出DMoERM以解决奖励模型训练中的多任务干扰与噪声问题 |
large language model |
✅ |
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