Cover Image

A Universal Avoidance Method for Diverse Multi-branch Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Kyeongman, Jhang, Minha, Jung, Kyomin
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Avoidance Decoding for Diverse Multi-Branch Story Generation
by: Park, Kyeongman, et al.
Published: (2025)

A Character-Centric Creative Story Generation via Imagination
by: Park, Kyeongman, et al.
Published: (2024)

LongStory: Coherent, Complete and Length Controlled Long story Generation
by: Park, Kyeongman, et al.
Published: (2023)

Conditional [MASK] Discrete Diffusion Language Model
by: Koh, Hyukhun, et al.
Published: (2024)

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning
by: Kim, Junseok, et al.
Published: (2026)

MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers
by: Park, Kyeongman, et al.
Published: (2025)

Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
by: Yang, Nakyeong, et al.
Published: (2023)

ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
by: Kim, Jeonghye, et al.
Published: (2025)

Rethinking the Evaluation of Alignment Methods: Insights into Diversity, Generalisation, and Safety
by: Janiak, Denis, et al.
Published: (2025)

OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas
by: Huang, James Y., et al.
Published: (2025)

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
by: Kowshik, Suhas S, et al.
Published: (2024)

Task Diversity Shortens the ICL Plateau
by: Kim, Jaeyeon, et al.
Published: (2024)

Jointly Reinforcing Diversity and Quality in Language Model Generations
by: Li, Tianjian, et al.
Published: (2025)

LiSA: Lifelong Safety Adaptation via Conservative Policy Induction
by: Kim, Minbeom, et al.
Published: (2026)

OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models
by: Koo, Jahyun, et al.
Published: (2024)

VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs
by: Amballa, Avinash, et al.
Published: (2025)

Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning
by: Aakanksha, et al.
Published: (2024)

Facts in Stats: Impacts of Pretraining Diversity on Language Model Generalization
by: Behnia, Tina, et al.
Published: (2025)

Classifying and Addressing the Diversity of Errors in Retrieval-Augmented Generation Systems
by: Leung, Kin Kwan, et al.
Published: (2025)

GLEAN: Active Generalized Category Discovery with Diverse LLM Feedback
by: Zou, Henry Peng, et al.
Published: (2025)

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains
by: Liu, Yunhui, et al.
Published: (2024)

Identifying the Source of Generation for Large Language Models
by: Park, Bumjin, et al.
Published: (2024)

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection
by: Deshpande, Vijeta, et al.
Published: (2026)

Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models
by: Wang, Chang, et al.
Published: (2025)

Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
by: Shim, Jung-Woo, et al.
Published: (2025)

A Practical Method for Generating String Counterfactuals
by: Avitan, Matan, et al.
Published: (2024)

DiffListener: Discrete Diffusion Model for Listener Generation
by: Jung, Siyeol, et al.
Published: (2025)

REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy
by: Chang, Haw-Shiuan, et al.
Published: (2024)

MEME: Multi-entity & Evolving Memory Evaluation
by: Jung, Seokwon, et al.
Published: (2026)

Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets
by: Foolad, Shima, et al.
Published: (2024)

Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation
by: Lee, Sua, et al.
Published: (2025)

Selective Generation for Controllable Language Models
by: Lee, Minjae, et al.
Published: (2023)

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions
by: Kulkarni, Adithya, et al.
Published: (2025)

Diversity Boosts AI-Generated Text Detection
by: Basani, Advik Raj, et al.
Published: (2025)

Instruction Diversity Drives Generalization To Unseen Tasks
by: Zhang, Dylan, et al.
Published: (2024)

MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks
by: Zhu, Yinghao, et al.
Published: (2025)

Towards Universal Debiasing for Language Models-based Tabular Data Generation
by: Li, Tianchun, et al.
Published: (2025)

Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
by: Shayegh, Behzad, et al.
Published: (2024)

An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
by: Schoenegger, Loris, et al.
Published: (2024)

Multi-Response Preference Optimization with Augmented Ranking Dataset
by: Gwon, Hansle, et al.
Published: (2024)