conftrace_

parameter update

36 papers

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Co-occurring keywords

large language model (13587) knowledge editing (295) language model (4599) model editing (159) machine unlearning (290) knowledge update (25) gradient descent (1144) catastrophic forgetting (958) continual learning (1181) model knowledge (3)

Papers

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation ACL 2026
From Weights to Activations: Is Steering the Next Frontier of Adaptation? ACL 2026
InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation ACL 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning ACL 2025
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit ACL 2025
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025
Avoiding Copyright Infringement via Large Language Model Unlearning NAACL 2025
GeoEdit: Geometric Knowledge Editing for Large Language Models EMNLP 2025
PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking CVPR 2025
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing AAAI 2025
HVAdam: A Full-Dimension Adaptive Optimizer AAAI 2025
DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing ACL 2025
In-context Continual Learning Assisted by an External Continual Learner COLING 2025
Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing EMNLP 2025
BiasEdit: Debiasing Stereotyped Language Models via Model Editing NAACL 2025
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NIPS 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding AAAI 2024
Unlearning from Weakly Supervised Learning IJCAI 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024
Commonsense Knowledge Editing Based on Free-Text in LLMs EMNLP 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024
Investigation into Training Dynamics of Learned Optimizers (Student Abstract) AAAI 2024
The Fall of ROME: Understanding the Collapse of LLMs in Model Editing EMNLP 2024
QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models NSDI 2024