Cover Image

DualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Tianyou, Chen, Xinglu, Zhang, Jingshen, Qiu, Xinying, Niu, Ruiying
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

System Report for CCL24-Eval Task 7: Multi-Error Modeling and Fluency-Targeted Pre-training for Chinese Essay Evaluation
by: Zhang, Jingshen, et al.
Published: (2024)

Controlling Cloze-test Question Item Difficulty with PLM-based Surrogate Models for IRT Assessment
by: Zhang, Jingshen, et al.
Published: (2024)

Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
by: Zhang, Jingshen, et al.
Published: (2024)

Label Confidence Weighted Learning for Target-level Sentence Simplification
by: Qiu, Xinying, et al.
Published: (2024)

Difficulty-Controllable Cloze Question Distractor Generation
by: Kang, Seokhoon, et al.
Published: (2025)

CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model
by: Chiang, Shang-Hsuan, et al.
Published: (2024)

Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning
by: Zhang, Jingshen, et al.
Published: (2024)

Comparing Feature-based and Context-aware Approaches to PII Generalization Level Prediction
by: Zhang, Kailin, et al.
Published: (2024)

COLA-GEC: A Bidirectional Framework for Enhancing Grammatical Acceptability and Error Correction
by: Yang, Xiangyu, et al.
Published: (2025)

Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal
by: Nair, Sathvik, et al.
Published: (2026)

SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
by: Huang, Yongfeng, et al.
Published: (2026)

Distribution-Aware Reward Estimation for Test-Time Reinforcement Learning
by: Du, Bodong, et al.
Published: (2026)

ISSR: Iterative Selection with Self-Review for Vocabulary Test Distractor Generation
by: Liu, Yu-Cheng, et al.
Published: (2025)

Constructing Cloze Questions Generatively
by: Sun, Yicheng, et al.
Published: (2024)

Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation
by: Alhazmi, Elaf, et al.
Published: (2026)

Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation
by: Min, Do June, et al.
Published: (2024)

Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
by: Alhazmi, Elaf, et al.
Published: (2024)

Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement Learning
by: Wang, Weiqin, et al.
Published: (2025)

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards
by: Liu, Cheng, et al.
Published: (2025)

ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
by: Pham, Quang Hieu, et al.
Published: (2025)

Agentic Reinforcement Learning with Implicit Step Rewards
by: Liu, Xiaoqian, et al.
Published: (2025)

Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor
by: Chen, Jiali, et al.
Published: (2024)

DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
by: Lin, Runfeng, et al.
Published: (2024)

Cross-Domain Transfer and Few-Shot Learning for Personal Identifiable Information Recognition
by: Ye, Junhong, et al.
Published: (2025)

ACE-RL: Adaptive Constraint-Enhanced Reward for Long-form Generation Reinforcement Learning
by: Chen, Jianghao, et al.
Published: (2025)

Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning
by: McNichols, Hunter, et al.
Published: (2023)

Calibrating Verbalized Confidence with Self-Generated Distractors
by: Wang, Victor, et al.
Published: (2025)

From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
by: Jiang, Yuxin, et al.
Published: (2026)

Dynamic and Generalizable Process Reward Modeling
by: Yin, Zhangyue, et al.
Published: (2025)

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment
by: Xu, Yuancheng, et al.
Published: (2024)

D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
by: Byun, Grace, et al.
Published: (2025)

Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation
by: Yang, Running, et al.
Published: (2025)

Are Language Models Sensitive to Morally Irrelevant Distractors?
by: Shaw, Andrew, et al.
Published: (2026)

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
by: Zhang, Yi-Fan, et al.
Published: (2025)

Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction
by: Wu, Tao, et al.
Published: (2025)

Automated Generation of Multiple-Choice Cloze Questions for Assessing English Vocabulary Using GPT-turbo 3.5
by: Wang, Qiao, et al.
Published: (2024)

MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization
by: Ou, Jiefu, et al.
Published: (2026)

Dynamic Scaling of Unit Tests for Code Reward Modeling
by: Ma, Zeyao, et al.
Published: (2025)

Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
by: Tang, Xinyu, et al.
Published: (2025)

From Roots to Rewards: Dynamic Tree Reasoning with Reinforcement Learning
by: Bahloul, Ahmed, et al.
Published: (2025)