Imagen de Portada

Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dosajh, Arjun, Sanghi, Mihika
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning I.2.7
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs
por: Suominen, Osma, et al.
Publicado: (2025)

Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
por: Hosseini, Peyman, et al.
Publicado: (2023)

PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation
por: Pulipaka, Srikar Kashyap
Publicado: (2026)

Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization
por: Bronec, Jan, et al.
Publicado: (2025)

CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity
por: Kawada, Sebastien, et al.
Publicado: (2026)

SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)
por: Yu, Liang-Chih, et al.
Publicado: (2026)

Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
por: Fane, Enfa, et al.
Publicado: (2025)

Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation
por: Guimarães, Artur, et al.
Publicado: (2024)

SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation
por: Pickard, Thomas, et al.
Publicado: (2025)

University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection
por: Hanif, Ikhlasul Akmal, et al.
Publicado: (2025)

USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task
por: Li, Jianjian, et al.
Publicado: (2024)

TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
por: Urlana, Ashok, et al.
Publicado: (2024)

Annif at the GermEval-2025 LLMs4Subjects Task: Traditional XMTC Augmented by Efficient LLMs
por: Suominen, Osma, et al.
Publicado: (2025)

DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing
por: Kluge, Lisa, et al.
Publicado: (2025)

MKJ at SemEval-2026 Task 9: A Comparative Study of Generalist, Specialist, and Ensemble Strategies for Multilingual Polarization
por: Jouneghani, Maziar Kianimoghadam
Publicado: (2026)

PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?
por: Petukhova, Kseniia, et al.
Publicado: (2024)

LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data
por: Wang, Changsheng, et al.
Publicado: (2025)

PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
por: Kazakov, Roman, et al.
Publicado: (2024)

LLMs are Overconfident: Evaluating Confidence Interval Calibration with FermiEval
por: Epstein, Elliot L., et al.
Publicado: (2025)

lmfaoooo at SemEval-2026 Task 1: Humor Is an Audience. Preference Modeling for Constrained Humor Generation
por: Tikhonov, Alexey, et al.
Publicado: (2026)

Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation
por: Vasilev, Stefan, et al.
Publicado: (2025)

Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
por: Geuter, Jonathan, et al.
Publicado: (2025)

Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
por: Ahmadian, Arash, et al.
Publicado: (2024)

OFMU: Optimization-Driven Framework for Machine Unlearning
por: Asif, Sadia, et al.
Publicado: (2025)

Merge-Bench: Resolve Merge Conflicts with Large Language Models
por: Schesch, Benedikt, et al.
Publicado: (2026)

Quantization-Robust LLM Unlearning via Low-Rank Adaptation
por: Abitante, João Vitor Boer, et al.
Publicado: (2026)

Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
por: Easley, Eric, et al.
Publicado: (2026)

Dual-Phase Federated Deep Unlearning via Weight-Aware Rollback and Reconstruction
por: Zhou, Changjun, et al.
Publicado: (2025)

Representation-Aware Unlearning via Activation Signatures: From Suppression to Entity-Signature Erasure
por: Mahmood, Syed Naveed, et al.
Publicado: (2026)

CRISP: Persistent Concept Unlearning via Sparse Autoencoders
por: Ashuach, Tomer, et al.
Publicado: (2025)

Less is More: Learning Graph Tasks with Just LLMs
por: Shirai, Sola, et al.
Publicado: (2025)

ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering
por: Ghosh, Shubhra, et al.
Publicado: (2025)

REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
por: Cohen, Liran, et al.
Publicado: (2025)

RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
por: Li, Changmao, et al.
Publicado: (2024)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
por: Oketunji, Abiodun Finbarrs
Publicado: (2023)

LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
por: Bishop, Jennifer A, et al.
Publicado: (2023)

BLP-2023 Task 2: Sentiment Analysis
por: Hasan, Md. Arid, et al.
Publicado: (2023)

Random Heterogeneous Neurochaos Learning Architecture for Data Classification
por: S, Remya Ajai A, et al.
Publicado: (2024)

The Hidden Attention of Mamba Models
por: Ali, Ameen, et al.
Publicado: (2024)

Ambiguity in LLMs is a concept missing problem
por: Hu, Zhibo, et al.
Publicado: (2025)