:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Duan, Hanqi, Cheng, Yao, Yu, Jianxiang, Liu, Yao, Li, Xiang
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2410.16822
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TADDLE: A Tool-Augmented Agent for Detecting Deficient LLM-Generated Peer Reviews
by: Duan, Hanqi, et al.
Published: (2026)

Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
by: Gong, Chenghua, et al.
Published: (2023)

Can Large Language Models Act as Symbolic Reasoners?
by: Sullivan, Rob, et al.
Published: (2024)

SEAGraph: Unveiling the Whole Story of Paper Review Comments
by: Yu, Jianxiang, et al.
Published: (2024)

Evolving Subnetwork Training for Large Language Models
by: Li, Hanqi, et al.
Published: (2024)

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials
by: Li, Yanjie, 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)

A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions
by: Gong, Chenghua, et al.
Published: (2024)

Large Language Models Can Self-Improve in Long-context Reasoning
by: Li, Siheng, et al.
Published: (2024)

Can Large Language Models Logically Predict Myocardial Infarction? Evaluation based on UK Biobank Cohort
by: Zhi, Yuxing, et al.
Published: (2024)

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives
by: Wang, Jiaqi, et al.
Published: (2024)

Multi-objective Evolution of Heuristic Using Large Language Model
by: Yao, Shunyu, et al.
Published: (2024)

Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
by: Liu, Shuo, et al.
Published: (2025)

Large Language Models are Contrastive Reasoners
by: Yao, Liang
Published: (2024)

First Multi-Dimensional Evaluation of Flowchart Comprehension for Multimodal Large Language Models
by: Zhang, Enming, et al.
Published: (2024)

Evolve Cost-aware Acquisition Functions Using Large Language Models
by: Yao, Yiming, et al.
Published: (2024)

DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space
by: Xiang, Jianxiang, et al.
Published: (2024)

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
by: Zhong, Tianyang, et al.
Published: (2024)

A Survey of Vibe Coding with Large Language Models
by: Ge, Yuyao, et al.
Published: (2025)

Mind over Space: Can Multimodal Large Language Models Mentally Navigate?
by: Zhu, Qihui, et al.
Published: (2026)

Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)

A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing
by: Lee, Jay, et al.
Published: (2023)

Can Large Language Models Understand Intermediate Representations in Compilers?
by: Jiang, Hailong, et al.
Published: (2025)

Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models
by: Luo, Weidi, et al.
Published: (2024)

Do Large Language Models Need a Content Delivery Network?
by: Cheng, Yihua, et al.
Published: (2024)

Evolving in Tasks: Empowering the Multi-modality Large Language Model as the Computer Use Agent
by: Cheng, Yuhao, et al.
Published: (2025)

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
by: Tong, Yao, et al.
Published: (2025)

Multi-tool Integration Application for Math Reasoning Using Large Language Model
by: Duan, Zhihua, et al.
Published: (2024)

Can Language Models Solve Olympiad Programming?
by: Shi, Quan, et al.
Published: (2024)

Machine Unlearning of Pre-trained Large Language Models
by: Yao, Jin, et al.
Published: (2024)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)

Plan-and-Act using Large Language Models for Interactive Agreement
by: Sasabuchi, Kazuhiro, et al.
Published: (2025)

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
by: Yang, Wanli, et al.
Published: (2024)

Piculet: Specialized Models-Guided Hallucination Decrease for MultiModal Large Language Models
by: Wang, Kohou, et al.
Published: (2024)

Diagnosing CFG Interpretation in LLMs
by: Li, Hanqi, et al.
Published: (2026)

Functional Subspace Watermarking for Large Language Models
by: Ding, Zikang, et al.
Published: (2026)

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
by: Yao, Yifan, et al.
Published: (2023)

Can Large Language Models do Analytical Reasoning?
by: Hu, Yebowen, et al.
Published: (2024)

Can Large Language Models Reinvent Foundational Algorithms?
by: Zhao, Jian, et al.
Published: (2026)

Can Multi-modal (reasoning) LLMs work as deepfake detectors?
by: Ren, Simiao, et al.
Published: (2025)