Copertina

Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic Workflows

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sharan, Aditya, Hebbale, Sriram, Kumar, Dhruv
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines
di: Saraogi, Devesh, et al.
Pubblicazione: (2025)

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
di: Liu, Junteng, et al.
Pubblicazione: (2025)

AgentV-RL: Scaling Reward Modeling with Agentic Verifier
di: Zhang, Jiazheng, et al.
Pubblicazione: (2026)

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
di: Singhi, Nishad, et al.
Pubblicazione: (2025)

Verifier-Backed Hard Problem Generation for Mathematical Reasoning
di: Lai, Yuhang, et al.
Pubblicazione: (2026)

L-MARS: Legal Multi-Agent Workflow with Orchestrated Reasoning and Agentic Search
di: Wang, Ziqi, et al.
Pubblicazione: (2025)

Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
di: Gopalakrishnan, Sriram
Pubblicazione: (2026)

Eliminating Agentic Workflow for Introduction Generation with Parametric Stage Tokens
di: Zhang, Meicong, et al.
Pubblicazione: (2025)

AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation
di: Liu, Xianyang, et al.
Pubblicazione: (2025)

Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought Models
di: Ramjee, Sharan
Pubblicazione: (2026)

AFlow: Automating Agentic Workflow Generation
di: Zhang, Jiayi, et al.
Pubblicazione: (2024)

A Cloud-based Multi-Agentic Workflow for Science
di: Acharya, Anurag, et al.
Pubblicazione: (2026)

Understanding and Optimizing Agentic Workflows via Shapley value
di: Yang, Yingxuan, et al.
Pubblicazione: (2025)

Generation Z's Ability to Discriminate Between AI-generated and Human-Authored Text on Discord
di: Ramu, Dhruv, et al.
Pubblicazione: (2023)

Compute Optimal Scaling of Skills: Knowledge vs Reasoning
di: Roberts, Nicholas, et al.
Pubblicazione: (2025)

Benchmarking Agentic Workflow Generation
di: Qiao, Shuofei, et al.
Pubblicazione: (2024)

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
di: Chen, Jiangjie, et al.
Pubblicazione: (2025)

SEW: Self-Evolving Agentic Workflows for Automated Code Generation
di: Liu, Siwei, et al.
Pubblicazione: (2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
di: Ke, Zixuan, et al.
Pubblicazione: (2025)

AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production
di: Kartik, NVJK, et al.
Pubblicazione: (2025)

AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction
di: Shi, Ruijie, et al.
Pubblicazione: (2026)

DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints
di: Zhang, Yinger, et al.
Pubblicazione: (2026)

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
di: Wu, Junde, et al.
Pubblicazione: (2025)

On Time, Within Budget: Constraint-Driven Online Resource Allocation for Agentic Workflows
di: Wang, Xinglin, et al.
Pubblicazione: (2026)

AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems
di: Wang, Weiyi, et al.
Pubblicazione: (2026)

ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data
di: Shen, Junhong, et al.
Pubblicazione: (2024)

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
di: Lara, Luis, et al.
Pubblicazione: (2026)

Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation
di: Jing, Peiyuan, et al.
Pubblicazione: (2025)

Generative Universal Verifier as Multimodal Meta-Reasoner
di: Zhang, Xinchen, et al.
Pubblicazione: (2025)

CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning
di: Shi, Dachuan, et al.
Pubblicazione: (2026)

DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
di: He, Zhiwei, et al.
Pubblicazione: (2025)

TrustGeoGen: Formal-Verified Data Engine for Trustworthy Multi-modal Geometric Problem Solving
di: Fu, Daocheng, et al.
Pubblicazione: (2025)

Logic-Regularized Verifier Elicits Reasoning from LLMs
di: Wang, Xinyu, et al.
Pubblicazione: (2026)

Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning
di: Wang, Li, et al.
Pubblicazione: (2025)

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?
di: Zhou, Yang, et al.
Pubblicazione: (2025)

Agentic Reasoning for Large Language Models
di: Wei, Tianxin, et al.
Pubblicazione: (2026)

HARMON-E: Hierarchical Agentic Reasoning for Multimodal Oncology Notes to Extract Structured Data
di: Gupta, Shashi Kant, et al.
Pubblicazione: (2025)

RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
di: Zha, Kaiwen, et al.
Pubblicazione: (2025)

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
di: Peng, Hao, et al.
Pubblicazione: (2025)

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts
di: Watson, William, et al.
Pubblicazione: (2024)