Copertina

A Unified Framework for Model Editing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gupta, Akshat, Sajnani, Dev, Anumanchipalli, Gopala
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3
di: Yoon, Junsang, et al.
Pubblicazione: (2024)

Geometric Interpretation of Layer Normalization and a Comparative Analysis with RMSNorm
di: Gupta, Akshat, et al.
Pubblicazione: (2024)

Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
di: Gupta, Akshat, et al.
Pubblicazione: (2024)

Lifelong Knowledge Editing requires Better Regularization
di: Gupta, Akshat, et al.
Pubblicazione: (2025)

Model Editing at Scale leads to Gradual and Catastrophic Forgetting
di: Gupta, Akshat, et al.
Pubblicazione: (2024)

Efficient Knowledge Editing via Minimal Precomputation
di: Gupta, Akshat, et al.
Pubblicazione: (2025)

Evolutionary Strategies lead to Catastrophic Forgetting in LLMs
di: Abdi, Immanuel, et al.
Pubblicazione: (2026)

Self-Assessment Tests are Unreliable Measures of LLM Personality
di: Gupta, Akshat, et al.
Pubblicazione: (2023)

FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
di: Mittu, Fazal, et al.
Pubblicazione: (2024)

How Do LLMs Use Their Depth?
di: Gupta, Akshat, et al.
Pubblicazione: (2025)

Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing
di: Gupta, Akshat, et al.
Pubblicazione: (2025)

The Oracle Has Spoken: A Multi-Aspect Evaluation of Dialogue in Pythia
di: Chen, Zixun, et al.
Pubblicazione: (2025)

Unsupervised TTS Acoustic Modeling for TTS with Conditional Disentangled Sequential VAE
di: Lian, Jiachen, et al.
Pubblicazione: (2022)

PokerBench: Training Large Language Models to become Professional Poker Players
di: Zhuang, Richard, et al.
Pubblicazione: (2025)

Identifying Multiple Personalities in Large Language Models with External Evaluation
di: Song, Xiaoyang, et al.
Pubblicazione: (2024)

Constraining Sequential Model Editing with Editing Anchor Compression
di: Xu, Hao-Xiang, et al.
Pubblicazione: (2025)

Aioli: A Unified Optimization Framework for Language Model Data Mixing
di: Chen, Mayee F., et al.
Pubblicazione: (2024)

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
di: Ghandeharioun, Asma, et al.
Pubblicazione: (2024)

RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models
di: Yang, Daniel, et al.
Pubblicazione: (2026)

Model Merging for Knowledge Editing
di: Fu, Zichuan, et al.
Pubblicazione: (2025)

Model Editing by Standard Fine-Tuning
di: Gangadhar, Govind, et al.
Pubblicazione: (2024)

FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
di: Weng, Zixuan, et al.
Pubblicazione: (2026)

A Unified Virtual Mixture-of-Experts Framework:Enhanced Inference and Hallucination Mitigation in Single-Model System
di: Liu, Mingyan
Pubblicazione: (2025)

PMET: Precise Model Editing in a Transformer
di: Li, Xiaopeng, et al.
Pubblicazione: (2023)

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
di: Jin, Yiqiao, et al.
Pubblicazione: (2026)

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
di: Cheng, Jiale, et al.
Pubblicazione: (2024)

Knowledge Editing on Black-box Large Language Models
di: Song, Xiaoshuai, et al.
Pubblicazione: (2024)

Spectral Editing of Activations for Large Language Model Alignment
di: Qiu, Yifu, et al.
Pubblicazione: (2024)

Analyzing And Editing Inner Mechanisms Of Backdoored Language Models
di: Lamparth, Max, et al.
Pubblicazione: (2023)

uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization
di: Nagar, Aishik, et al.
Pubblicazione: (2024)

A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
di: Mersha, Melkamu Abay, et al.
Pubblicazione: (2025)

Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
di: Ding, Qijie, et al.
Pubblicazione: (2023)

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
di: Li, Jiaang, et al.
Pubblicazione: (2024)

LPCD: Unified Framework from Layer-Wise to Submodule Quantization
di: Ichikawa, Yuma, et al.
Pubblicazione: (2025)

A Unified Definition of Hallucination: It's The World Model, Stupid!
di: Liu, Emmy, et al.
Pubblicazione: (2025)

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
di: Veldanda, Akshaj Kumar, et al.
Pubblicazione: (2024)

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models
di: Tan, Likun, et al.
Pubblicazione: (2025)

EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing
di: Li, Xiaopeng, et al.
Pubblicazione: (2025)

On the Limitations of Rank-One Model Editing in Answering Multi-hop Questions
di: He, Zhiyuan, et al.
Pubblicazione: (2026)

TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
di: Zhang, Shaolei, et al.
Pubblicazione: (2024)