:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Song, Wei, Zhong, Haonan, Ding, Ziqi, Xue, Jingling, Li, Yuekang
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2508.12566
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion Models
by: Zhong, Haonan, et al.
Published: (2026)

TombRaider: Entering the Vault of History to Jailbreak Large Language Models
by: Ding, Junchen, et al.
Published: (2025)

"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)

A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories
by: Ding, Ziqi, et al.
Published: (2025)

Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation
by: Jin, David, et al.
Published: (2025)

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
by: Xiong, Zhanhang, et al.
Published: (2025)

Large Language Models are In-Context Molecule Learners
by: Li, Jiatong, et al.
Published: (2024)

A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
by: Xu, Zihao, et al.
Published: (2024)

Importance Weighting Can Help Large Language Models Self-Improve
by: Jiang, Chunyang, et al.
Published: (2024)

ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet
by: Li, Yuekang, et al.
Published: (2025)

Debiasing LLMs by Masking Unfairness-Driving Attention Heads
by: Han, Tingxu, et al.
Published: (2025)

ReasonBridge: Efficient Reasoning Transfer from Closed to Open-Source Language Models
by: Zhong, Ziqi, et al.
Published: (2025)

Robust CAPTCHA Using Audio Illusions in the Era of Large Language Models: from Evaluation to Advances
by: Ding, Ziqi, et al.
Published: (2026)

Rethinking Token Reduction for Large Vision-Language Models
by: Wang, Yi, et al.
Published: (2026)

ToLeaP: Rethinking Development of Tool Learning with Large Language Models
by: Chen, Haotian, et al.
Published: (2025)

Empowering Large Language Models for Textual Data Augmentation
by: Li, Yichuan, et al.
Published: (2024)

Rethinking and Benchmarking Large Language Models for Graph Reasoning
by: Hu, Yuwei, et al.
Published: (2025)

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
by: Luo, Ziyang, et al.
Published: (2025)

Benchmark for Planning and Control with Large Language Model Agents: Blocksworld with Model Context Protocol
by: Jobs, Niklas, et al.
Published: (2025)

Grade Like a Human: Rethinking Automated Assessment with Large Language Models
by: Xie, Wenjing, et al.
Published: (2024)

Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models
by: Xu, Zihao, et al.
Published: (2024)

MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark
by: Fan, Shiqing, et al.
Published: (2025)

Prompting Fairness: Integrating Causality to Debias Large Language Models
by: Li, Jingling, et al.
Published: (2024)

Rethinking Agentic Reinforcement Learning In Large Language Models
by: Cui, Fangming, et al.
Published: (2026)

When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
by: Zheng, Yingming, et al.
Published: (2025)

Improving Interactive In-Context Learning from Natural Language Feedback
by: Klissarov, Martin, et al.
Published: (2026)

Position: How can Graphs Help Large Language Models?
by: Wang, Xiyuan, et al.
Published: (2026)

Investigating Context Effects in Similarity Judgements in Large Language Models
by: Uprety, Sagar, et al.
Published: (2024)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)

Membership Inference Attacks Against Video Large Language Models
by: Song, Wei, et al.
Published: (2026)

ProgCo: Program Helps Self-Correction of Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2025)

Fragile Preferences: A Deep Dive Into Order Effects in Large Language Models
by: Yin, Haonan, et al.
Published: (2025)

Learning to Select In-Context Demonstration Preferred by Large Language Model
by: Zhang, Zheng, et al.
Published: (2025)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)

DeMark: A Query-Free Black-Box Attack on Deepfake Watermarking Defenses
by: Song, Wei, et al.
Published: (2026)

Context-level Language Modeling by Learning Predictive Context Embeddings
by: Dai, Beiya, et al.
Published: (2025)

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
by: Huang, Wei-Hsiang, et al.
Published: (2025)

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
by: Li, Yaxuan, et al.
Published: (2026)

Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning
by: Yu, Song, et al.
Published: (2025)

HonestLLM: Toward an Honest and Helpful Large Language Model
by: Gao, Chujie, et al.
Published: (2024)