:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Luo, Jing, Wang, Huiyuan, Huang, Weiran
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2410.00699
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Statistical Theory of Regularization-Based Continual Learning
di: Zhao, Xuyang, et al.
Pubblicazione: (2024)

The Information of Large Language Model Geometry
di: Tan, Zhiquan, et al.
Pubblicazione: (2024)

Provable Training Data Identification for Large Language Models
di: Liu, Zhenlong, et al.
Pubblicazione: (2025)

Can I understand what I create? Self-Knowledge Evaluation of Large Language Models
di: Tan, Zhiquan, et al.
Pubblicazione: (2024)

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
di: Wei, Lai, et al.
Pubblicazione: (2024)

Robust Detection of Watermarks for Large Language Models Under Human Edits
di: Li, Xiang, et al.
Pubblicazione: (2024)

Knowledge Editing on Black-box Large Language Models
di: Song, Xiaoshuai, et al.
Pubblicazione: (2024)

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
di: Fang, Zhengyu, et al.
Pubblicazione: (2024)

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels
di: Shen, Yiyang, et al.
Pubblicazione: (2025)

Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
di: Ranaldi, Federico, et al.
Pubblicazione: (2024)

Demystifying Verbatim Memorization in Large Language Models
di: Huang, Jing, et al.
Pubblicazione: (2024)

Disentanglement of Variations with Multimodal Generative Modeling
di: Zhang, Yijie, et al.
Pubblicazione: (2025)

Large Generative Graph Models
di: Wang, Yu, et al.
Pubblicazione: (2024)

Generative Evaluation of Complex Reasoning in Large Language Models
di: Lin, Haowei, et al.
Pubblicazione: (2025)

Information-Theoretic Perspectives on Optimizers
di: Tan, Zhiquan, et al.
Pubblicazione: (2025)

Synthetic Interaction Data for Scalable Personalization in Large Language Models
di: Ma, Yuchen, et al.
Pubblicazione: (2026)

PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
di: Li, Guilin, et al.
Pubblicazione: (2025)

Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification
di: Huang, Tao, et al.
Pubblicazione: (2026)

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models
di: Fang, Zhengyu, et al.
Pubblicazione: (2026)

Can Large Language Models Still Explain Themselves? Investigating the Impact of Quantization on Self-Explanations
di: Wang, Qianli, et al.
Pubblicazione: (2026)

Investigating Symbolic Capabilities of Large Language Models
di: Dave, Neisarg, et al.
Pubblicazione: (2024)

Investigating Layer Importance in Large Language Models
di: Zhang, Yang, et al.
Pubblicazione: (2024)

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

A Survey on Mixture of Experts in Large Language Models
di: Cai, Weilin, et al.
Pubblicazione: (2024)

Optimal Budgeted Adaptation of Large Language Models
di: Wang, Jing, et al.
Pubblicazione: (2026)

AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
di: Yang, Zhicheng, et al.
Pubblicazione: (2023)

CARE: Large Precision Matrix Estimation for Compositional Data
di: Zhang, Shucong, et al.
Pubblicazione: (2023)

Investigating Faithfulness in Large Audio Language Models
di: Mousavi, Pooneh, et al.
Pubblicazione: (2025)

Tiny-Critic RAG: Empowering Agentic Fallback with Parameter-Efficient Small Language Models
di: Wu, Yichao, et al.
Pubblicazione: (2026)

Understanding Grokking Through A Robustness Viewpoint
di: Tan, Zhiquan, et al.
Pubblicazione: (2023)

Investigating the Impact of Data Selection Strategies on Language Model Performance
di: Gu, Jiayao, et al.
Pubblicazione: (2025)

Investigating the Potential of Using Large Language Models for Scheduling
di: Jobson, Deddy, et al.
Pubblicazione: (2024)

Dynamic Low-Rank Sparse Adaptation for Large Language Models
di: Huang, Weizhong, et al.
Pubblicazione: (2025)

A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective
di: Fang, Zhengyu, et al.
Pubblicazione: (2025)

Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference
di: Yuan, Han, et al.
Pubblicazione: (2025)

Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
di: Sun, Haoran, et al.
Pubblicazione: (2024)

Towards Trustable Language Models: Investigating Information Quality of Large Language Models
di: Rejeleene, Rick, et al.
Pubblicazione: (2024)

Inpainting-Guided Policy Optimization for Diffusion Large Language Models
di: Zhao, Siyan, et al.
Pubblicazione: (2025)

FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
di: Duan, Yitong, et al.
Pubblicazione: (2025)

Investigating Automatic Scoring and Feedback using Large Language Models
di: Katuka, Gloria Ashiya, et al.
Pubblicazione: (2024)