Cover Image

ThetaEvolve: Test-time Learning on Open Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yiping, Su, Shao-Rong, Zeng, Zhiyuan, Xu, Eva, Ren, Liliang, Yang, Xinyu, Huang, Zeyi, He, Xuehai, Ma, Luyao, Peng, Baolin, Cheng, Hao, He, Pengcheng, Chen, Weizhu, Wang, Shuohang, Du, Simon Shaolei, Shen, Yelong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)

Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation
by: Wang, Yiping, et al.
Published: (2024)

Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior
by: Huang, Zeyi, et al.
Published: (2026)

Rethinking Language Model Scaling under Transferable Hypersphere Optimization
by: Ren, Liliang, et al.
Published: (2026)

Mojito: Motion Trajectory and Intensity Control for Video Generation
by: He, Xuehai, et al.
Published: (2024)

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
by: Zhang, Zhen, et al.
Published: (2025)

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
by: Zhan, Zheng, et al.
Published: (2025)

Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
by: Ren, Liliang, et al.
Published: (2025)

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
by: Ren, Liliang, et al.
Published: (2024)

Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
by: Li, Zichong, et al.
Published: (2026)

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
by: Xu, Haoran, et al.
Published: (2025)

Multi-LoRA Composition for Image Generation
by: Zhong, Ming, et al.
Published: (2024)

Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning
by: Chen, Yifang, et al.
Published: (2024)

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
by: Gou, Zhibin, et al.
Published: (2023)

Bridging the Gap Between Multimodal Foundation Models and World Models
by: He, Xuehai
Published: (2025)

LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy
by: Zhang, Rongzhi, et al.
Published: (2024)

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
by: Zhong, Ming, et al.
Published: (2023)

Reinforcement World Model Learning for LLM-based Agents
by: Yu, Xiao, et al.
Published: (2026)

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation
by: Ouyang, Siru, et al.
Published: (2024)

Orchard: An Open-Source Agentic Modeling Framework
by: Peng, Baolin, et al.
Published: (2026)

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
by: Liang, Xiao, et al.
Published: (2025)

RLBR: Reinforcement Learning with Biasing Rewards for Contextual Speech Large Language Models
by: Ren, Bo, et al.
Published: (2026)

Self-Evolving 3D Scene Generation from a Single Image
by: Zheng, Kaizhi, et al.
Published: (2025)

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
by: Liang, Xiao, et al.
Published: (2025)

Automatic Instruction Evolving for Large Language Models
by: Zeng, Weihao, et al.
Published: (2024)

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
by: Gou, Zhibin, et al.
Published: (2023)

Test-time Recursive Thinking: Self-Improvement without External Feedback
by: Zhuang, Yufan, et al.
Published: (2026)

Spatio‐Temporal Regulation of IGFs in Enamel Development: Molecular Mechanisms From Ameloblast Polarity to Mineralization Homeostasis
by: Xue Zeng, et al.
Published: (2025)

Research on the Reinforcement Mechanism of Fiber–Asphalt Interface Based on Molecular Dynamics
by: Zhaolun Wang, et al.
Published: (2026)

MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens
by: Zheng, Kaizhi, et al.
Published: (2023)

Formation of external particle jets on a spherical particle bed subjected to strong explosive loading
by: He, Yifeng, et al.
Published: (2025)

Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
by: Wu, Zhiyuan, et al.
Published: (2024)

Competition-Level Problems are Effective LLM Evaluators
by: Huang, Yiming, et al.
Published: (2023)

In situ synthesis of novel trans ‐1, 4‐polyisoprene/isotactic polybutene reactor blends with multi‐component structure
by: Huafeng Shao, et al.
Published: (2024)

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework
by: Wang, Liliang, et al.
Published: (2025)

Feedback-induced interactive dynamics: unitary but dissipative evolution
by: Wu, Shuohang, et al.
Published: (2022)

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
by: Wei, Tianxin, et al.
Published: (2025)

Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning
by: Wang, Yiping, et al.
Published: (2024)

OVOD-Agent: A Markov-Bandit Framework for Proactive Visual Reasoning and Self-Evolving Detection
by: Wang, Chujie, et al.
Published: (2025)

Replay-guided Test-time Adaptation for Fault Diagnosis Under Unseen Operating Conditions
by: Wang, Yakun, et al.
Published: (2026)