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3D Action Recognition

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models

Locating and Editing Factual Associations in Mamba

Multi-Scale Spatial-Temporal Self-Attention Graph Convolutional Networks for Skeleton-based Action Recognition

Scalable Model Editing via Customized Expert Networks

Deep Image Composition Meets Image Forgery

LLMs are Good Action Recognizers

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs

Multi-hop Question Answering under Temporal Knowledge Editing

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering

Robust and Scalable Model Editing for Large Language Models

DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition

General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing

GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition

A Unified Framework for Model Editing

Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts

Locating and Mitigating Gender Bias in Large Language Models

Detoxifying Large Language Models via Knowledge Editing

BadEdit: Backdooring large language models by model editing

Editing Massive Concepts in Text-to-Image Diffusion Models

Skeleton-Based Human Action Recognition with Noisy Labels

CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner

SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition

On the Utility of 3D Hand Poses for Action Recognition

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

Efficiently Quantifying and Mitigating Ripple Effects in Model Editing

Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing

Editing Conceptual Knowledge for Large Language Models

Consecutive Batch Model Editing with HooK Layers

AKEW: Assessing Knowledge Editing in the Wild

"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models

InstructEdit: Instruction-based Knowledge Editing for Large Language Models

How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries

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