Cover Image

Thinker-DDM: Modeling Deliberation for Machine Translation with a Drift-Diffusion Process

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Na, Hongbin, Wang, Zimu, Maimaiti, Mieradilijiang, Chen, Tong, Wang, Wei, Shen, Tao, Chen, Ling
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Good are LLMs at Relation Extraction under Low-Resource Scenario? Comprehensive Evaluation
by: Jinensibieke, Dawulie, et al.
Published: (2024)

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions
by: Na, Hongbin, et al.
Published: (2025)

Improving Cross-lingual Representation for Semantic Retrieval with Code-switching
by: Maimaiti, Mieradilijiang, et al.
Published: (2024)

Detecting Conversational Mental Manipulation with Intent-Aware Prompting
by: Ma, Jiayuan, et al.
Published: (2024)

Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy
by: Na, Hongbin, et al.
Published: (2024)

Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement
by: Guo, Haotan, et al.
Published: (2025)

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models
by: Yu, Beibei, et al.
Published: (2024)

You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations
by: Na, Hongbin, et al.
Published: (2025)

Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection
by: He, Jianfei, et al.
Published: (2024)

StreamingThinker: Large Language Models Can Think While Reading
by: Tong, Junlong, et al.
Published: (2025)

CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral Therapy-based Mental Health Question Answering
by: Na, Hongbin
Published: (2024)

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
by: Ma, Jie, et al.
Published: (2025)

Enhancing Language Model Rationality with Bi-Directional Deliberation Reasoning
by: Zhang, Yadong, et al.
Published: (2024)

ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization
by: Liu, Mengsha, et al.
Published: (2024)

Machine Learning for Enhancing Deliberation in Online Political Discussions and Participatory Processes: A Survey
by: Behrendt, Maike, et al.
Published: (2025)

Exploring the Translation Mechanism of Large Language Models
by: Zhang, Hongbin, et al.
Published: (2025)

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning
by: Wei, Shuyu, et al.
Published: (2026)

MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
by: MiroMind Team, et al.
Published: (2025)

TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
by: Wang, Danqing, et al.
Published: (2024)

PartialFormer: Modeling Part Instead of Whole for Machine Translation
by: Zheng, Tong, et al.
Published: (2023)

SAND: Boosting LLM Agents with Self-Taught Action Deliberation
by: Xia, Yu, et al.
Published: (2025)

SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
by: Hu, Chenzhi, et al.
Published: (2026)

KAG-Thinker: Interactive Thinking and Deep Reasoning in LLMs via Knowledge-Augmented Generation
by: Zhang, Dalong, et al.
Published: (2025)

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation
by: Chen, Andong, et al.
Published: (2024)

SpiralThinker: Latent Reasoning through an Iterative Process with Text-Latent Interleaving
by: Piao, Shengmin, et al.
Published: (2025)

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
by: Wang, Zimu, et al.
Published: (2024)

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation
by: He, Jie, et al.
Published: (2025)

Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
by: Xu, Jun, et al.
Published: (2025)

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control
by: He, Xingyang, et al.
Published: (2025)

On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation
by: Wang, Weichuan, et al.
Published: (2026)

Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documents
by: Xing, Fuyu, et al.
Published: (2025)

MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
by: Chen, Tong, et al.
Published: (2025)

Interplay of Machine Translation, Diacritics, and Diacritization
by: Chen, Wei-Rui, et al.
Published: (2024)

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
by: Wang, Weichuan, et al.
Published: (2024)

Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation
by: Shen, Sherrie, et al.
Published: (2025)

Semantic Label Drift in Cross-Cultural Translation
by: Kabir, Mohsinul, et al.
Published: (2025)

Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation
by: Liao, Yusheng, et al.
Published: (2024)

Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
by: Xu, Sen, et al.
Published: (2025)

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token
by: Zou, Wei, et al.
Published: (2025)

Deliberate Planning in Language Models with Symbolic Representation
by: Xiong, Siheng, et al.
Published: (2025)