Cover Image

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Joshi, Abhinav, Saha, Shaswati, Shukla, Divyaksh, Vema, Sriram, Jhamtani, Harsh, Gaur, Manas, Modi, Ashutosh
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Computers and Society Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
by: Shukla, Divyaksh, et al.
Published: (2026)

Towards Quantifying Commonsense Reasoning with Mechanistic Insights
by: Joshi, Abhinav, et al.
Published: (2025)

IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
by: Patel, Shubham, et al.
Published: (2024)

EtiCor++: Towards Understanding Etiquettical Bias in LLMs
by: Dwivedi, Ashutosh, et al.
Published: (2025)

Calibration Across Layers: Understanding Calibration Evolution in LLMs
by: Joshi, Abhinav, et al.
Published: (2025)

Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
by: Ahmad, Areeb, et al.
Published: (2025)

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
by: Haider, Batool, et al.
Published: (2025)

Towards Measuring and Modeling "Culture" in LLMs: A Survey
by: Adilazuarda, Muhammad Farid, et al.
Published: (2024)

CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations
by: Shukla, Divyaksh, et al.
Published: (2025)

Geometry of Decision Making in Language Models
by: Joshi, Abhinav, et al.
Published: (2025)

COLD: Causal reasOning in cLosed Daily activities
by: Joshi, Abhinav, et al.
Published: (2024)

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
by: Mohseni, Seyedreza, et al.
Published: (2024)

LoRMA: Low-Rank Multiplicative Adaptation for LLMs
by: Bihany, Harsh, et al.
Published: (2025)

Side Effects of Erasing Concepts from Diffusion Models
by: Saha, Shaswati, et al.
Published: (2025)

POSESTITCH-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation
by: Joshi, Abhinav, et al.
Published: (2025)

Machine Unlearning Meets Adversarial Robustness via Constrained Interventions on LLMs
by: Rezkellah, Fatmazohra, et al.
Published: (2025)

IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being
by: Gyrard, Amelie, et al.
Published: (2024)

Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
by: Gorti, Atmika, et al.
Published: (2024)

LM Agents for Coordinating Multi-User Information Gathering
by: Jhamtani, Harsh, et al.
Published: (2025)

Fluent but Foreign: Even Regional LLMs Lack Cultural Alignment
by: Agarwal, Dhruv, et al.
Published: (2025)

Expressing Social Emotions: Misalignment Between LLMs and Human Cultural Emotion Norms
by: Bhattacharyya, Sree, et al.
Published: (2026)

Mechanistic Steering of LLMs Reveals Layer-wise Feature Vulnerabilities in Adversarial Settings
by: Das, Nilanjana, et al.
Published: (2026)

Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability
by: Aggarwal, Yash, et al.
Published: (2026)

Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge
by: Cai, Yunna, et al.
Published: (2025)

Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness
by: Alipour, Shayan, et al.
Published: (2024)

Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Detection
by: Masud, Sarah, et al.
Published: (2023)

Steering Large Language Models between Code Execution and Textual Reasoning
by: Chen, Yongchao, et al.
Published: (2024)

Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?
by: Gautam, Vagrant, et al.
Published: (2024)

Eight Methods to Evaluate Robust Unlearning in LLMs
by: Lynch, Aengus, et al.
Published: (2024)

Meursault as a Data Point
by: Pratap, Abhinav
Published: (2025)

IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials
by: Mandal, Shreyasi, et al.
Published: (2024)

Evaluating the Simulation of Human Personality-Driven Susceptibility to Misinformation with LLMs
by: Pratelli, Manuel, et al.
Published: (2025)

LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
by: Weissburg, Iain, et al.
Published: (2024)

Toward Robust Legal Text Formalization into Defeasible Deontic Logic using LLMs
by: Horner, Elias, et al.
Published: (2025)

Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD
by: Tan, Bryan Chen Zhengyu, et al.
Published: (2025)

Between Help and Harm: An Evaluation of Mental Health Crisis Handling by LLMs
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2025)

Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs
by: Ceron, Tanise, et al.
Published: (2024)

Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
by: Hu, Michael Y., et al.
Published: (2025)

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
by: Ranjit, Jaspreet, et al.
Published: (2024)

IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning
by: Joshi, Abhinav, et al.
Published: (2024)