:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Bowen, Han, Namgi, Miyao, Yusuke
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2412.13475
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Multi-Perspective Analysis of Memorization in Large Language Models
by: Chen, Bowen, et al.
Published: (2024)

A Comparative Analysis of LLM Memorization at Statistical and Internal Levels: Cross-Model Commonalities and Model-Specific Signatures
by: Chen, Bowen, et al.
Published: (2026)

Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
by: Yanaka, Hitomi, et al.
Published: (2025)

Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
by: Chen, Yuetian, et al.
Published: (2026)

How Much Do Large Language Models Know about Human Motion? A Case Study in 3D Avatar Control
by: Li, Kunhang, et al.
Published: (2025)

Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
by: Puerto, Haritz, et al.
Published: (2024)

Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
by: Chang, Hongyan, et al.
Published: (2024)

FinGen: A Dataset for Argument Generation in Finance
by: Chen, Chung-Chi, et al.
Published: (2024)

Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability
by: Sakai, Yusuke, et al.
Published: (2025)

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
by: Li, Tianlong, et al.
Published: (2024)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
by: Ran, Delong, et al.
Published: (2025)

Membership Inference Attacks on LLM-based Recommender Systems
by: He, Jiajie, et al.
Published: (2025)

The Imperfective Paradox in Large Language Models
by: Ma, Bolei, et al.
Published: (2026)

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
by: Wen, Yuchen, et al.
Published: (2024)

Revisiting In-context Learning Inference Circuit in Large Language Models
by: Cho, Hakaze, et al.
Published: (2024)

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications
by: Tong, Ziyi, et al.
Published: (2026)

Multilinguality of Large Language Models From a Structural Perspective
by: Sakajo, Haruki, et al.
Published: (2026)

Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective
by: Kou, Zhiqiang, et al.
Published: (2025)

Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
by: Chhabra, Anshuman, et al.
Published: (2024)

Revisiting Character-level Adversarial Attacks for Language Models
by: Rocamora, Elias Abad, et al.
Published: (2024)

THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
by: Ma, Zhiqing, et al.
Published: (2026)

Self-Emotion Blended Dialogue Generation in Social Simulation Agents
by: Zhang, Qiang, et al.
Published: (2024)

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
by: Li, Loka, et al.
Published: (2024)

Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
by: Yun, Tian, et al.
Published: (2025)

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring
by: Mu, Honglin, et al.
Published: (2024)

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
by: Wang, Pei, et al.
Published: (2024)

Target-driven Attack for Large Language Models
by: Zhang, Chong, et al.
Published: (2024)

Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles
by: Sun, Xiongtao, et al.
Published: (2024)

Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs
by: Mancera, Gonzalo, et al.
Published: (2025)

A Survey on Efficient Inference for Large Language Models
by: Zhou, Zixuan, et al.
Published: (2024)

Causal Inference with Large Language Model: A Survey
by: Ma, Jing
Published: (2024)

Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning
by: Yu, Yahan, et al.
Published: (2026)

The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models
by: Huang, Linghan, et al.
Published: (2025)

Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective
by: Mao, Liyuan, et al.
Published: (2026)

Distract Large Language Models for Automatic Jailbreak Attack
by: Xiao, Zeguan, et al.
Published: (2024)

Membership Inference Attacks on Tokenizers of Large Language Models
by: Tong, Meng, et al.
Published: (2025)

Investigating Instruction Tuning Large Language Models on Graphs
by: Zhu, Kerui, et al.
Published: (2024)

Reasoning in Large Language Models: A Geometric Perspective
by: Cosentino, Romain, et al.
Published: (2024)