Imagen de Portada

DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Jiachen, Ding, Tianyu, Zhu, Zhihui
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution
por: Jiang, Jiachen, et al.
Publicado: (2026)

In-Context Learning for Non-Stationary MIMO Equalization
por: Jiang, Jiachen, et al.
Publicado: (2025)

From Compression to Expression: A Layerwise Analysis of In-Context Learning
por: Jiang, Jiachen, et al.
Publicado: (2025)

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models
por: Zhu, Xudong, et al.
Publicado: (2025)

Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
por: Jiang, Jiachen, et al.
Publicado: (2024)

Accelerating Scientific Discovery with Autonomous Goal-evolving Agents
por: Du, Yuanqi, et al.
Publicado: (2025)

Cyber Academia-Chemical Engineering (CA-ChemE): A Living Digital Town for Self-Directed Research Evolution and Emergent Scientific Discovery
por: Jiang, Zekun, et al.
Publicado: (2025)

Evaluation-driven Scaling for Scientific Discovery
por: Ye, Haotian, et al.
Publicado: (2026)

CliffSearch: Structured Agentic Co-Evolution over Theory and Code for Scientific Algorithm Discovery
por: Mroueh, Youssef, et al.
Publicado: (2026)

Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
por: Kramer, Stefan, et al.
Publicado: (2023)

Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents
por: Liu, Tennison, et al.
Publicado: (2025)

AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
por: Bright-Thonney, Samuel, et al.
Publicado: (2025)

Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
por: Saveliev, Evgeny S., et al.
Publicado: (2026)

Cat-AIR: Content and Task-Aware All-in-One Image Restoration
por: Jiang, Jiachen, et al.
Publicado: (2025)

Heavy-Ball Momentum Accelerated Actor-Critic With Function Approximation
por: Dong, Yanjie, et al.
Publicado: (2024)

PAHQ: Accelerating Automated Circuit Discovery through Mixed-Precision Inference Optimization
por: Wang, Xinhai, et al.
Publicado: (2025)

The Use of AI-Robotic Systems for Scientific Discovery
por: Gower, Alexander H., et al.
Publicado: (2024)

Simulation as Supervision: Mechanistic Pretraining for Scientific Discovery
por: Dudley, Carson, et al.
Publicado: (2025)

Artificial Scientific Discovery
por: Norelli, Antonio
Publicado: (2024)

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery
por: Xia, Yingce, et al.
Publicado: (2025)

Principle-Evolvable Scientific Discovery via Uncertainty Minimization
por: Pu, Yingming, et al.
Publicado: (2026)

Post-hoc Interpretability Illumination for Scientific Interaction Discovery
por: Zhang, Ling, et al.
Publicado: (2024)

Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents
por: Kon, Patrick Tser Jern, et al.
Publicado: (2025)

An Evolved Universal Transformer Memory
por: Cetin, Edoardo, et al.
Publicado: (2024)

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
por: Reddy, Chandan K, et al.
Publicado: (2024)

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
por: Chen, Ziru, et al.
Publicado: (2024)

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
por: Jiang, Jiachen, et al.
Publicado: (2025)

Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
por: Xiao, Jing, et al.
Publicado: (2026)

PiFlow: Principle-Aware Scientific Discovery with Multi-Agent Collaboration
por: Pu, Yingming, et al.
Publicado: (2025)

Unlearning as Ablation: Toward a Falsifiable Benchmark for Generative Scientific Discovery
por: Yang, Robert
Publicado: (2025)

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
por: Liu, Jiaqi, et al.
Publicado: (2026)

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees
por: Huang, Chenyu, et al.
Publicado: (2026)

DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values
por: Kim, Changhun, et al.
Publicado: (2025)

Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
por: Liu, Xingyu, et al.
Publicado: (2024)

AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
por: Agarwal, Dhruv, et al.
Publicado: (2025)

Data-Efficient Training by Evolved Sampling
por: Cheng, Ziheng, et al.
Publicado: (2025)

MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning
por: Chen, Jinhao, et al.
Publicado: (2025)

ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood
por: Wang, Ruoyu, et al.
Publicado: (2024)

Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data
por: Liu, Haoyang, et al.
Publicado: (2024)

OmniArch: Building Foundation Model For Scientific Computing
por: Chen, Tianyu, et al.
Publicado: (2024)