| 1 |
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models |
提出CyclePrompt以优化多模态基础模型的提示生成 |
foundation model multimodal |
|
|
| 2 |
Test-Time Backdoor Attacks on Multimodal Large Language Models |
提出AnyDoor以解决多模态大语言模型的测试时后门攻击问题 |
large language model multimodal |
✅ |
|
| 3 |
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast |
提出感染性越狱方法以解决多模态大语言模型安全问题 |
large language model multimodal |
✅ |
|
| 4 |
Knowledge Editing on Black-box Large Language Models |
提出黑箱大语言模型知识编辑方法以解决隐私泄露问题 |
large language model |
|
|
| 5 |
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models |
提出BBox-Adapter以解决黑箱大语言模型适应性问题 |
large language model |
|
|
| 6 |
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data |
提出eCeLLM以解决电商领域的通用性建模问题 |
large language model |
✅ |
|
| 7 |
Eliciting Personality Traits in Large Language Models |
通过新颖的提示方法揭示大语言模型的人格特征 |
large language model |
|
|
| 8 |
Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues |
提出生成上下文敏感的回馈微笑以改善心理健康对话 |
embodied AI |
|
|
| 9 |
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment |
提出InstructGraph以增强大语言模型的图推理与生成能力 |
large language model |
|
|
| 10 |
Large Language Models as Minecraft Agents |
利用大型语言模型作为Minecraft代理以提升构建能力 |
large language model |
|
|
| 11 |
A Survey of Table Reasoning with Large Language Models |
综述大语言模型在表格推理中的应用与挑战 |
large language model |
|
|
| 12 |
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling |
提出PROMST框架以优化多步骤任务中的提示生成 |
large language model |
✅ |
|
| 13 |
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models |
提出JAMDEC以解决在线作者身份模糊化问题 |
large language model |
|
|
| 14 |
Higher Layers Need More LoRA Experts |
提出MoLA以提升LoRA在Transformer模型中的效率 |
large language model |
✅ |
|
| 15 |
Improving Generalization in Semantic Parsing by Increasing Natural Language Variation |
通过数据增强提升文本到SQL语义解析的泛化能力 |
large language model |
|
|
| 16 |
"Reasoning" with Rhetoric: On the Style-Evidence Tradeoff in LLM-Generated Counter-Arguments |
提出平衡证据与风格的反驳生成方法以提升说服力 |
large language model |
✅ |
|
| 17 |
Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims |
提出新方法绕过ChatGPT的安全机制生成虚假信息 |
large language model |
|
|
| 18 |
Punctuation Restoration Improves Structure Understanding Without Supervision |
提出标点恢复以提升无监督学习的结构理解能力 |
large language model |
|
|