NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger Retention
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Baixuan, Fan, Yunlong, Ma, Tianyi, Gao, Zhiqiang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
por: Xu, Yunzhe, et al.
Publicado: (2025)
por: Xu, Yunzhe, et al.
Publicado: (2025)
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
por: Zhao, Shuai, et al.
Publicado: (2023)
por: Zhao, Shuai, et al.
Publicado: (2023)
YuLan: An Open-source Large Language Model
por: Zhu, Yutao, et al.
Publicado: (2024)
por: Zhu, Yutao, et al.
Publicado: (2024)
Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
por: Sato, Makoto
Publicado: (2025)
por: Sato, Makoto
Publicado: (2025)
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
por: Li, Wenjun, et al.
Publicado: (2025)
por: Li, Wenjun, et al.
Publicado: (2025)
Language Models Benefit from Preparation with Elicited Knowledge
por: Yu, Jiacan, et al.
Publicado: (2024)
por: Yu, Jiacan, et al.
Publicado: (2024)
MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost
por: Xing, Sen, et al.
Publicado: (2024)
por: Xing, Sen, et al.
Publicado: (2024)
When Emotion Becomes Trigger: Emotion-style dynamic Backdoor Attack Parasitising Large Language Models
por: Liu, Ziyu, et al.
Publicado: (2026)
por: Liu, Ziyu, et al.
Publicado: (2026)
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
por: Cao, Boxi, et al.
Publicado: (2023)
por: Cao, Boxi, et al.
Publicado: (2023)
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
por: Li, Jiachun, et al.
Publicado: (2024)
por: Li, Jiachun, et al.
Publicado: (2024)
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
por: Li, Jianwei, et al.
Publicado: (2023)
por: Li, Jianwei, et al.
Publicado: (2023)
Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language Models
por: Kim, San, et al.
Publicado: (2026)
por: Kim, San, et al.
Publicado: (2026)
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
por: Jiang, Changhao, et al.
Publicado: (2025)
por: Jiang, Changhao, et al.
Publicado: (2025)
Eliciting Latent Knowledge from Quirky Language Models
por: Mallen, Alex, et al.
Publicado: (2023)
por: Mallen, Alex, et al.
Publicado: (2023)
Unsupervised Elicitation of Language Models
por: Wen, Jiaxin, et al.
Publicado: (2025)
por: Wen, Jiaxin, et al.
Publicado: (2025)
DeepInnovator: Triggering the Innovative Capabilities of LLMs
por: Fan, Tianyu, et al.
Publicado: (2026)
por: Fan, Tianyu, et al.
Publicado: (2026)
A Survey on Diffusion Language Models
por: Li, Tianyi, et al.
Publicado: (2025)
por: Li, Tianyi, et al.
Publicado: (2025)
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation
por: Cantini, Riccardo, et al.
Publicado: (2024)
por: Cantini, Riccardo, et al.
Publicado: (2024)
AutoRAG-LoRA: Hallucination-Triggered Knowledge Retuning via Lightweight Adapters
por: Dwivedi, Kaushik, et al.
Publicado: (2025)
por: Dwivedi, Kaushik, et al.
Publicado: (2025)
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
por: Luo, Ziyang, et al.
Publicado: (2024)
por: Luo, Ziyang, et al.
Publicado: (2024)
Cross-Lingual Knowledge Editing in Large Language Models
por: Wang, Jiaan, et al.
Publicado: (2023)
por: Wang, Jiaan, et al.
Publicado: (2023)
Eliciting Reasoning in Language Models with Cognitive Tools
por: Ebouky, Brown, et al.
Publicado: (2025)
por: Ebouky, Brown, et al.
Publicado: (2025)
Eliciting Personality Traits in Large Language Models
por: Hilliard, Airlie, et al.
Publicado: (2024)
por: Hilliard, Airlie, et al.
Publicado: (2024)
Sink-Aware Pruning for Diffusion Language Models
por: Myrzakhan, Aidar, et al.
Publicado: (2026)
por: Myrzakhan, Aidar, et al.
Publicado: (2026)
Identifying and Mitigating Social Bias Knowledge in Language Models
por: Chen, Ruizhe, et al.
Publicado: (2024)
por: Chen, Ruizhe, et al.
Publicado: (2024)
Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
por: Li, Junlong, et al.
Publicado: (2022)
por: Li, Junlong, et al.
Publicado: (2022)
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
por: Park, Yein, et al.
Publicado: (2024)
por: Park, Yein, et al.
Publicado: (2024)
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
por: Wijesiriwardene, Thilini, et al.
Publicado: (2024)
por: Wijesiriwardene, Thilini, et al.
Publicado: (2024)
Eliciting Language Model Behaviors with Investigator Agents
por: Li, Xiang Lisa, et al.
Publicado: (2025)
por: Li, Xiang Lisa, et al.
Publicado: (2025)
IKnow: Instruction-Knowledge-Aware Continual Pretraining for Effective Domain Adaptation
por: Zhang, Tianyi, et al.
Publicado: (2025)
por: Zhang, Tianyi, et al.
Publicado: (2025)
ExpSeek: Self-Triggered Experience Seeking for Web Agents
por: Zhang, Wenyuan, et al.
Publicado: (2026)
por: Zhang, Wenyuan, et al.
Publicado: (2026)
Estimating the Error of Large Language Models at Pairwise Text Comparison
por: Li, Tianyi
Publicado: (2025)
por: Li, Tianyi
Publicado: (2025)
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
por: Wang, Yajing, et al.
Publicado: (2024)
por: Wang, Yajing, et al.
Publicado: (2024)
Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers
por: Tong, Terry, et al.
Publicado: (2024)
por: Tong, Terry, et al.
Publicado: (2024)
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models
por: Guo, Jiaxin, et al.
Publicado: (2024)
por: Guo, Jiaxin, et al.
Publicado: (2024)
Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
por: Li, Bo, et al.
Publicado: (2026)
por: Li, Bo, et al.
Publicado: (2026)
Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models
por: Shang, Yu, et al.
Publicado: (2024)
por: Shang, Yu, et al.
Publicado: (2024)
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
por: Choi, Hyeong Kyu, et al.
Publicado: (2024)
por: Choi, Hyeong Kyu, et al.
Publicado: (2024)
NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors
por: Ren, Lingfeng, et al.
Publicado: (2026)
por: Ren, Lingfeng, et al.
Publicado: (2026)
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
por: Dong, Honghua, et al.
Publicado: (2024)
por: Dong, Honghua, et al.
Publicado: (2024)
Ejemplares similares
-
Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
por: Xu, Yunzhe, et al.
Publicado: (2025) -
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
por: Zhao, Shuai, et al.
Publicado: (2023) -
YuLan: An Open-source Large Language Model
por: Zhu, Yutao, et al.
Publicado: (2024) -
Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
por: Sato, Makoto
Publicado: (2025) -
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
por: Li, Wenjun, et al.
Publicado: (2025)