Image de couverture de livre

Selective Generation for Controllable Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Minjae, Kim, Kyungmin, Kim, Taesoo, Park, Sangdon
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Ensuring Functional Correctness of Large Code Models with Selective Generation
par: Jeong, Jaewoo, et autres
Publié: (2025)

Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization
par: Yang, Junyoung, et autres
Publié: (2026)

Online Conformal Abstention for Factuality Control Under Adversarial Bandit Feedback
par: Lee, Minjae, et autres
Publié: (2025)

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
par: Fu, Yao, et autres
Publié: (2024)

Adaptive Task Vectors for Large Language Models
par: Kang, Joonseong, et autres
Publié: (2025)

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning
par: Kim, Junseok, et autres
Publié: (2026)

Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
par: Moon, Saemi, et autres
Publié: (2024)

LCSB: Layer-Cyclic Selective Backpropagation for Memory-Efficient On-Device LLM Fine-Tuning
par: Park, Juneyoung, et autres
Publié: (2026)

Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification
par: Park, MoonJeong, et autres
Publié: (2026)

TESU-LLM: Training Speech-LLMs Without Speech via Unified Encoder Alignment
par: Kim, Taesoo, et autres
Publié: (2025)

EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models
par: Lee, Che Hyun, et autres
Publié: (2025)

Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization
par: Son, Seungwoo, et autres
Publié: (2024)

Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction
par: Ramalingam, Ramya, et autres
Publié: (2024)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
par: Prahlad, Deeksha, et autres
Publié: (2025)

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
par: Kim, Dahyun, et autres
Publié: (2023)

Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
par: Park, Kwanyong, et autres
Publié: (2024)

Kanana: Compute-efficient Bilingual Language Models
par: Kanana LLM Team, et autres
Publié: (2025)

TARDiS : Text Augmentation for Refining Diversity and Separability
par: Kim, Kyungmin, et autres
Publié: (2025)

GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer
par: Cho, Junmo, et autres
Publié: (2026)

MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models
par: Kim, Junmo, et autres
Publié: (2025)

Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
par: Son, Hyegang, et autres
Publié: (2024)

DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
par: Woo, Sunghyeon, et autres
Publié: (2024)

Identifying the Source of Generation for Large Language Models
par: Park, Bumjin, et autres
Publié: (2024)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
par: Baek, In-Chang, et autres
Publié: (2025)

MAGE: All-[MASK] Block Already Knows Where to Look in Diffusion LLM
par: Kwon, Omin, et autres
Publié: (2026)

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
par: Kim, Junsol, et autres
Publié: (2023)

DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models
par: Jung, Sunghee, et autres
Publié: (2025)

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
par: Jeon, Hyesung, et autres
Publié: (2024)

Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
par: Shin, Sungbin, et autres
Publié: (2024)

Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training
par: Chung, Woojin, et autres
Publié: (2025)

Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
par: Park, Juneyoung, et autres
Publié: (2026)

Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
par: Park, Jinyoung, et autres
Publié: (2023)

Sentence Curve Language Models
par: Heo, DongNyeong, et autres
Publié: (2026)

Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?
par: Kang, Deokhyung, et autres
Publié: (2025)

Demystifying Low-Rank Knowledge Distillation in Large Language Models: Convergence, Generalization, and Information-Theoretic Guarantees
par: Soarez, Alberlucia Rafael, et autres
Publié: (2026)

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
par: Kim, Seungone, et autres
Publié: (2023)

LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models
par: Xi, Haocheng, et autres
Publié: (2026)

TroL: Traversal of Layers for Large Language and Vision Models
par: Lee, Byung-Kwan, et autres
Publié: (2024)

Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods
par: Kim, Bo-Kyeong, et autres
Publié: (2024)

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
par: Park, Dongmin, et autres
Publié: (2024)