Cover Image

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hua, Zhouqi, Zhang, Wenwei, Lyu, Chengqi, Gu, Yuzhe, Gao, Songyang, Liu, Kuikun, Lin, Dahua, Chen, Kai
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

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
by: Gu, Yuzhe, et al.
Published: (2025)

ANAH: Analytical Annotation of Hallucinations in Large Language Models
by: Ji, Ziwei, et al.
Published: (2024)

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
by: Gu, Yuzhe, et al.
Published: (2024)

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
by: Lyu, Chengqi, et al.
Published: (2025)

Are Your LLMs Capable of Stable Reasoning?
by: Liu, Junnan, et al.
Published: (2024)

Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
by: Gao, Songyang, et al.
Published: (2025)

CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
by: Liu, Shudong, et al.
Published: (2025)

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning
by: Shen, Junhao, et al.
Published: (2025)

AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
by: Song, Zifan, et al.
Published: (2024)

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
by: Chen, Zehui, et al.
Published: (2023)

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
by: Chen, Zehui, et al.
Published: (2024)

CIBench: Evaluating Your LLMs with a Code Interpreter Plugin
by: Zhang, Chuyu, et al.
Published: (2024)

The Imitation Game According To Turing
by: Temtsin, Sharon, et al.
Published: (2025)

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
by: Zhao, Zhonghan, et al.
Published: (2025)

Training Language Models to Critique With Multi-agent Feedback
by: Lan, Tian, et al.
Published: (2024)

MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
by: Liu, Hongwei, et al.
Published: (2024)

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
by: Chen, Zehui, et al.
Published: (2024)

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
by: Wang, Chonghua, et al.
Published: (2024)

OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification
by: Wu, Zijian, et al.
Published: (2025)

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
by: Ying, Huaiyuan, et al.
Published: (2024)

ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
by: Zhuo, Jingming, et al.
Published: (2024)

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling
by: Li, Peiji, et al.
Published: (2025)

Extending Multilingual Machine Translation through Imitation Learning
by: Lai, Wen, et al.
Published: (2023)

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI
by: Chang, Ching-Chun, et al.
Published: (2025)

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
by: Chen, Jiaqi, et al.
Published: (2024)

InternLM-Law: An Open Source Chinese Legal Large Language Model
by: Fei, Zhiwei, et al.
Published: (2024)

Fake Alignment: Are LLMs Really Aligned Well?
by: Wang, Yixu, et al.
Published: (2023)

Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks
by: Chen, Sizhou, et al.
Published: (2023)

Rethinking Verification for LLM Code Generation: From Generation to Testing
by: Ma, Zihan, et al.
Published: (2025)

Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?
by: Gu, Yuxuan, et al.
Published: (2026)

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems
by: Min, Yingqian, et al.
Published: (2024)

NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities
by: Li, Mo, et al.
Published: (2024)

CriticEval: Evaluating Large Language Model as Critic
by: Lan, Tian, et al.
Published: (2024)

From Imitation to Discrimination: Toward A Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks
by: Yang, Changpeng, et al.
Published: (2025)

ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities
by: Zhu, Chenming, et al.
Published: (2024)

GIFT: Games as Informal Training for Generalizable LLMs
by: Lyu, Nuoyan, et al.
Published: (2026)

Beyond the Target: From Imitation to Collaboration in Speculative Decoding
by: Li, Jinze, et al.
Published: (2026)

Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation
by: Dai, Chengwei, et al.
Published: (2024)

Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
by: Qiao, Yuxuan, et al.
Published: (2024)

RL from Teacher-Model Refinement: Gradual Imitation Learning for Machine Translation
by: Lee, Dongyub Jude, et al.
Published: (2025)