Copertina

PID Control-Based Self-Healing to Improve the Robustness of Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Zhuotong, Wang, Zihu, Yang, Yifan, Li, Qianxiao, Zhang, Zheng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering
di: Wang, Zihu, et al.
Pubblicazione: (2025)

STU-PID: Steering Token Usage via PID Controller for Efficient Large Language Model Reasoning
di: Bharadwaj, Aryasomayajula Ram
Pubblicazione: (2025)

MEMORYLLM: Towards Self-Updatable Large Language Models
di: Wang, Yu, et al.
Pubblicazione: (2024)

Contrastive Learning with Consistent Representations
di: Wang, Zihu, et al.
Pubblicazione: (2023)

Towards Improved Preference Optimization Pipeline: from Data Generation to Budget-Controlled Regularization
di: Chen, Zhuotong, et al.
Pubblicazione: (2024)

StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
di: Wang, Shida, et al.
Pubblicazione: (2023)

Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
di: Xie, Tingyu, et al.
Pubblicazione: (2023)

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
di: Xu, Yifan, et al.
Pubblicazione: (2024)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
di: Ji, Jiabao, et al.
Pubblicazione: (2024)

Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness
di: Li, Mingchen, et al.
Pubblicazione: (2024)

SCM: Enhancing Large Language Model with Self-Controlled Memory Framework
di: Wang, Bing, et al.
Pubblicazione: (2023)

Improving the Robustness of Large Language Models via Consistency Alignment
di: Zhao, Yukun, et al.
Pubblicazione: (2024)

Large Language Models Can Self-Improve in Long-context Reasoning
di: Li, Siheng, et al.
Pubblicazione: (2024)

J2N -- Nominal Adjective Identification and its Application
di: Qi, Lemeng, et al.
Pubblicazione: (2024)

The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents
di: Chen, Chen, et al.
Pubblicazione: (2026)

Robust and Scalable Model Editing for Large Language Models
di: Chen, Yingfa, et al.
Pubblicazione: (2024)

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
di: Jin, Qiao, et al.
Pubblicazione: (2023)

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
di: Li, Haoling, et al.
Pubblicazione: (2024)

FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression
di: Tian, Jiayi, et al.
Pubblicazione: (2025)

Improving Natural Language Capability of Code Large Language Model
di: Li, Wei, et al.
Pubblicazione: (2024)

Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
di: Li, Taiji, et al.
Pubblicazione: (2024)

A Survey on Large Language Model Benchmarks
di: Ni, Shiwen, et al.
Pubblicazione: (2025)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
di: Zhang, Qing, et al.
Pubblicazione: (2025)

Robust Utility-Preserving Text Anonymization Based on Large Language Models
di: Yang, Tianyu, et al.
Pubblicazione: (2024)

Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
di: Lu, Yifan, et al.
Pubblicazione: (2025)

On the Robustness of Editing Large Language Models
di: Ma, Xinbei, et al.
Pubblicazione: (2024)

Internal Consistency and Self-Feedback in Large Language Models: A Survey
di: Liang, Xun, et al.
Pubblicazione: (2024)

Mitigating Prompt-Induced Hallucinations in Large Language Models via Structured Reasoning
di: Hao, Jinbo, et al.
Pubblicazione: (2026)

Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
di: Yang, Dingkang, et al.
Pubblicazione: (2024)

Advancing Large Language Model Attribution through Self-Improving
di: Huang, Lei, et al.
Pubblicazione: (2024)

Verifiable Format Control for Large Language Model Generations
di: Wang, Zhaoyang, et al.
Pubblicazione: (2025)

DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
di: Guo, YiQiu, et al.
Pubblicazione: (2025)

Controlling Large Language Model with Latent Actions
di: Jia, Chengxing, et al.
Pubblicazione: (2025)

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
di: Tran, Hieu, et al.
Pubblicazione: (2024)

Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages
di: Zhang, Yuanchi, et al.
Pubblicazione: (2024)

Cross-model Control: Improving Multiple Large Language Models in One-time Training
di: Wu, Jiayi, et al.
Pubblicazione: (2024)

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions
di: Zhang, Kun, et al.
Pubblicazione: (2025)

Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
di: Huang, Liangjie, et al.
Pubblicazione: (2025)

GCoder: Improving Large Language Model for Generalized Graph Problem Solving
di: Zhang, Qifan, et al.
Pubblicazione: (2024)

Mechanistic Circuit-Based Knowledge Editing in Large Language Models
di: Zhao, Tianyi, et al.
Pubblicazione: (2026)