:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Li, Yue, Yi, Xin, Shi, Dongsheng, Cui, Yongyi, de Melo, Gerard, Wang, Linlin
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computation and Language Artificial Intelligence Machine Learning
Online-Zugang:	https://arxiv.org/abs/2509.03122
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models
von: Li, Yue, et al.
Veröffentlicht: (2026)

Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models
von: Li, Yue, et al.
Veröffentlicht: (2025)

Instructional Fingerprinting of Large Language Models
von: Xu, Jiashu, et al.
Veröffentlicht: (2024)

Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing
von: Baghel, Bhiman Kumar, et al.
Veröffentlicht: (2025)

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
von: Zhang, Jiaxin, et al.
Veröffentlicht: (2024)

BiasEdit: Debiasing Stereotyped Language Models via Model Editing
von: Xu, Xin, et al.
Veröffentlicht: (2025)

LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
von: Zhang, Jiaxing, et al.
Veröffentlicht: (2024)

Noise Injection Systemically Degrades Large Language Model Safety Guardrails
von: Shahani, Prithviraj Singh, et al.
Veröffentlicht: (2025)

CataLM: Empowering Catalyst Design Through Large Language Models
von: Wang, Ludi, et al.
Veröffentlicht: (2024)

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
von: Cassano, Federico, et al.
Veröffentlicht: (2023)

Can We Edit Multimodal Large Language Models?
von: Cheng, Siyuan, et al.
Veröffentlicht: (2023)

UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models
von: Gu, Xiaojie, et al.
Veröffentlicht: (2025)

SConU: Selective Conformal Uncertainty in Large Language Models
von: Wang, Zhiyuan, et al.
Veröffentlicht: (2025)

AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation
von: Chakrabarty, Tuhin, et al.
Veröffentlicht: (2025)

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models
von: Xu, Yinggan, et al.
Veröffentlicht: (2025)

ROPO: Robust Preference Optimization for Large Language Models
von: Liang, Xize, et al.
Veröffentlicht: (2024)

Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
von: Cui, Andrea Yaoyun, et al.
Veröffentlicht: (2025)

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
von: Zhang, Zhongjian, et al.
Veröffentlicht: (2026)

Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
von: Sakarvadia, Mansi, et al.
Veröffentlicht: (2023)

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
von: Guo, Siyuan, et al.
Veröffentlicht: (2026)

One-Shot Safety Alignment for Large Language Models via Optimal Dualization
von: Huang, Xinmeng, et al.
Veröffentlicht: (2024)

CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes
von: Zhao, Haokun, et al.
Veröffentlicht: (2024)

Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP
von: Eslami, Sedigheh, et al.
Veröffentlicht: (2024)

UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models
von: Lin, Huawei, et al.
Veröffentlicht: (2025)

Antidistillation Fingerprinting
von: Xu, Yixuan Even, et al.
Veröffentlicht: (2026)

Mitigating Hallucinations in Large Language Models via Causal Reasoning
von: Li, Yuangang, et al.
Veröffentlicht: (2025)

The Compositional Architecture of Regret in Large Language Models
von: Cui, Xiangxiang, et al.
Veröffentlicht: (2025)

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
von: Chen, Zhipeng, et al.
Veröffentlicht: (2025)

InstructEdit: Instruction-based Knowledge Editing for Large Language Models
von: Zhang, Ningyu, et al.
Veröffentlicht: (2024)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
von: Xu, Ran, et al.
Veröffentlicht: (2023)

Correcting Large Language Model Behavior via Influence Function
von: Zhang, Han, et al.
Veröffentlicht: (2024)

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
von: Wang, Zhiyuan, et al.
Veröffentlicht: (2024)

Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models
von: Chepurova, Alla, et al.
Veröffentlicht: (2025)

On Calibration of Large Language Models: From Response To Capability
von: Yang, Sin-Han, et al.
Veröffentlicht: (2026)

Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
von: Zhang, Lihong, et al.
Veröffentlicht: (2025)

Improving Summarization with Human Edits
von: Yao, Zonghai, et al.
Veröffentlicht: (2023)

From Generalist to Specialist: A Survey of Large Language Models for Chemistry
von: Han, Yang, et al.
Veröffentlicht: (2024)

LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
von: Alhazbi, Saeif, et al.
Veröffentlicht: (2025)

Group-Aware Reinforcement Learning for Output Diversity in Large Language Models
von: Anschel, Oron, et al.
Veröffentlicht: (2025)

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