Copertina

SLOT: Structuring the Output of Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Darren Yow-Bang, Shen, Zhengyuan, Mishra, Soumya Smruti, Xu, Zhichao, Teng, Yifei, Ding, Haibo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task
di: Ghashami, Mina, et al.
Pubblicazione: (2024)

SLOT: Sample-specific Language Model Optimization at Test-time
di: Hu, Yang, et al.
Pubblicazione: (2025)

An Evaluation on Large Language Model Outputs: Discourse and Memorization
di: de Wynter, Adrian, et al.
Pubblicazione: (2023)

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
di: Wang, Siwei, et al.
Pubblicazione: (2024)

DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining
di: Arannil, Vinayak, et al.
Pubblicazione: (2024)

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

Large Language Model Confidence Estimation via Black-Box Access
di: Pedapati, Tejaswini, et al.
Pubblicazione: (2024)

When Correct Isn't Usable: Improving Structured Output Reliability in Small Language Models
di: Galeone, Cosimo, et al.
Pubblicazione: (2026)

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
di: Xu, Xiaoyu, et al.
Pubblicazione: (2025)

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
di: Wang, Siwei, et al.
Pubblicazione: (2025)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
di: Fadeeva, Ekaterina, et al.
Pubblicazione: (2024)

Phase Transitions in the Output Distribution of Large Language Models
di: Arnold, Julian, et al.
Pubblicazione: (2024)

Continuous Autoregressive Language Models
di: Shao, Chenze, et al.
Pubblicazione: (2025)

Leviathan: Decoupling Input and Output Representations in Language Models
di: Batley, Reza T., et al.
Pubblicazione: (2026)

IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
di: Feng, Aosong, et al.
Pubblicazione: (2025)

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
di: Yang, Yu, et al.
Pubblicazione: (2024)

Align to Structure: Aligning Large Language Models with Structural Information
di: Kim, Zae Myung, et al.
Pubblicazione: (2025)

Structured Agent Distillation for Large Language Model
di: Liu, Jun, et al.
Pubblicazione: (2025)

Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
di: Zhao, Stephen, et al.
Pubblicazione: (2025)

Graph-based Uncertainty Metrics for Long-form Language Model Outputs
di: Jiang, Mingjian, et al.
Pubblicazione: (2024)

Interpretable Steering of Large Language Models with Feature Guided Activation Additions
di: Soo, Samuel, et al.
Pubblicazione: (2025)

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
di: Pandit, Shrey, et al.
Pubblicazione: (2025)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
di: Ebrahimi, Sana, et al.
Pubblicazione: (2024)

A Systematic Survey on Large Language Models for Algorithm Design
di: Liu, Fei, et al.
Pubblicazione: (2024)

Large Language Model Unlearning
di: Yao, Yuanshun, et al.
Pubblicazione: (2023)

SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models
di: Zhu, Hourun, et al.
Pubblicazione: (2025)

Reviving The Classics: Active Reward Modeling in Large Language Model Alignment
di: Shen, Yunyi, et al.
Pubblicazione: (2025)

FIT to Forget: Robust Continual Unlearning for Large Language Models
di: Xu, Xiaoyu, et al.
Pubblicazione: (2026)

Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting
di: To, Bang Trinh Tran, et al.
Pubblicazione: (2025)

Measuring Social Norms of Large Language Models
di: Yuan, Ye, et al.
Pubblicazione: (2024)

Adaptive Pruning for Large Language Models with Structural Importance Awareness
di: Zheng, Haotian, et al.
Pubblicazione: (2024)

Learn To be Efficient: Build Structured Sparsity in Large Language Models
di: Zheng, Haizhong, et al.
Pubblicazione: (2024)

Liger: Linearizing Large Language Models to Gated Recurrent Structures
di: Lan, Disen, et al.
Pubblicazione: (2025)

The Structure of Relation Decoding Linear Operators in Large Language Models
di: Christ, Miranda Anna, et al.
Pubblicazione: (2025)

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

Sample-aware Adaptive Structured Pruning for Large Language Models
di: Kong, Jun, et al.
Pubblicazione: (2025)

LLaSA: Large Language and Structured Data Assistant
di: Xu, Yao, et al.
Pubblicazione: (2024)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
di: Lin, Qika, et al.
Pubblicazione: (2025)

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

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
di: Liu, Jun, et al.
Pubblicazione: (2024)