:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Su, YunHe, Lu, Zhengyang, Liu, Junhui, Pang, Ke, Dai, Haoran, Liu, Sa, Jia, Yuxin, Ge, Lujia, Yang, Jing-min
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2502.17132
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarial Attacks on Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)

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

SynerDiff: Synergetic Continuous Batching for Fast and Parallel Diffusion Model Inference
by: Zhou, Ziqi, et al.
Published: (2026)

Navigation-GPT: A Robust and Adaptive Framework Utilizing Large Language Models for Navigation Applications
by: Ma, Feng, et al.
Published: (2025)

Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models
by: Guo, Dadi, et al.
Published: (2025)

From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level
by: Li, Jia, et al.
Published: (2026)

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
by: Zhou, Hongjian, et al.
Published: (2023)

CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
by: Zan, Lei, et al.
Published: (2025)

TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training
by: Zhang, Ruijie, et al.
Published: (2026)

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
by: Liu, Boyi, et al.
Published: (2019)

Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Framework
by: Chen, Yirui, et al.
Published: (2024)

AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models
by: Yu, He, et al.
Published: (2024)

Reverse Thinking Enhances Missing Information Detection in Large Language Models
by: Liu, Yuxin, et al.
Published: (2025)

Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation
by: Tang, Weiliang, et al.
Published: (2025)

Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
by: Yu, He, et al.
Published: (2024)

POP: Prefill-Only Pruning for Efficient Large Model Inference
by: He, Junhui, et al.
Published: (2026)

Decoding Emotion in the Deep: A Systematic Study of How LLMs Represent, Retain, and Express Emotion
by: Zhang, Jingxiang, et al.
Published: (2025)

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

Large Language Models can be Guided to Evade AI-Generated Text Detection
by: Lu, Ning, et al.
Published: (2023)

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
by: Bai, Ge, et al.
Published: (2024)

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
by: Liu, Jiaheng, et al.
Published: (2024)

Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine
by: Ke, Yu He, et al.
Published: (2024)

Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications
by: Li, Anran, et al.
Published: (2025)

F-scheduler: illuminating the free-lunch design space for fast sampling of diffusion models
by: Li, Zilai, et al.
Published: (2025)

ControlMol: Adding Substructure Control To Molecule Diffusion Models
by: Zhengyang, Qi, et al.
Published: (2024)

China Regional 3km Downscaling Based on Residual Corrective Diffusion Model
by: Sun, Honglu, et al.
Published: (2025)

Sketch-Based Facade Renovation With Generative AI: A Streamlined Framework for Bypassing As-Built Modelling in Industrial Adaptive Reuse
by: Booranamaitree, Warissara, et al.
Published: (2026)

Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
by: Cui, Zhiqing, et al.
Published: (2025)

Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
by: Fan, Jiajun, et al.
Published: (2025)

Qibo: A Large Language Model for Traditional Chinese Medicine
by: Zhang, Heyi, et al.
Published: (2024)

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
by: Yang, Ge, et al.
Published: (2024)

Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA
by: Chen, Xi, et al.
Published: (2024)

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine
by: Yang, Rui, et al.
Published: (2025)

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
by: Zhao, Qianhui, et al.
Published: (2024)

Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
by: Su, Jing, et al.
Published: (2024)

Advances in Large Language Models for Medicine
by: Kan, Zhiyu, et al.
Published: (2025)

On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study
by: Zhang, Lujia, et al.
Published: (2024)

Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models
by: He, Hulingxiao, et al.
Published: (2026)

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
by: Su, Jiayuan, et al.
Published: (2024)

Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
by: Wu, Peng, et al.
Published: (2023)