Cover Image

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yu, Yin, Huifeng, Zeng, Bo, Wang, Hao, Shi, Tianqi, Lyu, Chenyang, Wang, Longyue, Luo, Weihua, Zhang, Kaifu
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

Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models
by: Yin, Huifeng, et al.
Published: (2025)

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling
by: Jiang, Fan, et al.
Published: (2026)

New Trends for Modern Machine Translation with Large Reasoning Models
by: Liu, Sinuo, et al.
Published: (2025)

The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
by: Wu, Minghao, et al.
Published: (2025)

Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement
by: Ming, Lingfeng, et al.
Published: (2024)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
by: Zeng, Bo, et al.
Published: (2025)

Towards Lightweight, Adaptive and Attribute-Aware Multi-Aspect Controllable Text Generation with Large Language Models
by: Zhu, Chenyu, et al.
Published: (2025)

Marco-Voice Technical Report
by: Tian, Fengping, et al.
Published: (2025)

A State-Transition Framework for Efficient LLM Reasoning
by: Zhang, Liang, et al.
Published: (2026)

Beyond Single-Reward: Multi-Pair, Multi-Perspective Preference Optimization for Machine Translation
by: Wang, Hao, et al.
Published: (2025)

LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy
by: Ruan, Zhiwen, et al.
Published: (2025)

ComfyUI-R1: Exploring Reasoning Models for Workflow Generation
by: Xu, Zhenran, et al.
Published: (2025)

TransBench: Benchmarking Machine Translation for Industrial-Scale Applications
by: Li, Haijun, et al.
Published: (2025)

OpenEP: Open-Ended Future Event Prediction
by: Guan, Yong, et al.
Published: (2024)

GRLO: Towards Generalizable Reinforcement Learning in Open-Ended Environments from Zero
by: Yin, Shangjian, et al.
Published: (2026)

OpenSIR: Open-Ended Self-Improving Reasoner
by: Kwan, Wai-Chung, et al.
Published: (2025)

Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation
by: Wang, Xintong, et al.
Published: (2025)

Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models
by: Liu, Bingshuai, et al.
Published: (2023)

Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025)

(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
by: Wu, Minghao, et al.
Published: (2024)

Challenging Multilingual LLMs: A New Taxonomy and Benchmark for Unraveling Hallucination in Translation
by: Wu, Xinwei, et al.
Published: (2025)

Marco-ASR: A Principled and Metric-Driven Framework for Fine-Tuning Large-Scale ASR Models for Domain Adaptation
by: Ni, Xuanfan, et al.
Published: (2025)

Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
by: Wang, Haonan, et al.
Published: (2025)

CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
by: Chen, Yongqiang, et al.
Published: (2026)

Scaling Open-Ended Reasoning to Predict the Future
by: Chandak, Nikhil, et al.
Published: (2025)

The Affective Bridge: Preserving Speech Representations while Enhancing Deepfake Detection vian emotional Constraints
by: Li, Yupei, et al.
Published: (2025)

Improving Open-Ended Text Generation via Adaptive Decoding
by: Zhu, Wenhong, et al.
Published: (2024)

DeepWideSearch: Benchmarking Depth and Width in Agentic Information Seeking
by: Lan, Tian, et al.
Published: (2025)

CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks
by: Besta, Maciej, et al.
Published: (2024)

R2-Write: Reflection and Revision for Open-Ended Writing with Deep Reasoning
by: Liu, Wanlong, et al.
Published: (2026)

Towards Open-Ended Discovery for Low-Resource NLP
by: Dossou, Bonaventure F. P., et al.
Published: (2025)

DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection
by: Wu, Junchao, et al.
Published: (2026)

Bagpiper: Solving Open-Ended Audio Tasks via Rich Captions
by: Tian, Jinchuan, et al.
Published: (2026)

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI
by: Yao, Huanjin, et al.
Published: (2025)

Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
by: Ye, Zhiling, et al.
Published: (2025)

Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs
by: Wu, Xinwei, et al.
Published: (2026)

EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation
by: Guan, Xin, et al.
Published: (2026)

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
by: Mei, Jianbiao, et al.
Published: (2025)

Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation
by: Ma, Bolei, et al.
Published: (2025)

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
by: Shaik, Hashmath, et al.
Published: (2024)