{"total":86,"rows":[{"id":"2501.09686","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","created":"2025-01-16","cited_by_count":293,"area":"wm"},{"id":"2408.10205","title":"KAN 2.0: Kolmogorov-Arnold Networks Meet Science","created":"2024-08-19","cited_by_count":118,"area":null},{"id":"2407.01603","title":"A Review of Large Language Models and Autonomous Agents in Chemistry","created":"2024-06-26","cited_by_count":99,"area":"agents"},{"id":"2503.24047","title":"Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents","created":"2025-03-31","cited_by_count":98,"area":"agents"},{"id":"2504.10415","title":"LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models","created":"2025-04-14","cited_by_count":71,"area":null},{"id":"2410.14716","title":"A Systematic Survey on Large Language Models for Algorithm Design","created":"2024-10-11","cited_by_count":69,"area":null},{"id":"2503.11733","title":"LLM Agents for Education: Advances and Applications","created":"2025-03-14","cited_by_count":59,"area":"agents"},{"id":"2409.16867","title":"Multi-objective Evolution of Heuristic Using Large Language Model","created":"2024-09-25","cited_by_count":54,"area":null},{"id":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2505.08783","title":"CodePDE: An Inference Framework for LLM-driven PDE Solver Generation","created":"2025-05-13","cited_by_count":39,"area":null},{"id":"2510.11661","title":"SR-Scientist: Scientific Equation Discovery With Agentic AI","created":"2025-10-13","cited_by_count":35,"area":"agents"},{"id":"2502.05234","title":"Optimizing Temperature for Language Models with Multi-Sample Inference","created":"2025-02-07","cited_by_count":33,"area":"lr"},{"id":"2406.19764","title":"Belief Revision: The Adaptability of Large Language Models Reasoning","created":"2024-06-28","cited_by_count":30,"area":"lr"},{"id":"2505.15047","title":"PiFlow: Principle-Aware Scientific Discovery with Multi-Agent Collaboration","created":"2025-05-21","cited_by_count":28,"area":"agents"},{"id":"2507.15550","title":"PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors","created":"2025-07-21","cited_by_count":15,"area":"agents"},{"id":"2502.12359","title":"LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models","created":"2025-02-17","cited_by_count":14,"area":"lr"},{"id":"2511.07262","title":"AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning","created":"2025-11-10","cited_by_count":14,"area":null},{"id":"2501.18411","title":"Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents","created":"2025-01-30","cited_by_count":13,"area":null},{"id":"2509.17677","title":"EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving","created":"2025-09-22","cited_by_count":12,"area":"lr"},{"id":"2602.18266","title":"A Probabilistic Framework for LLM-Based Model Discovery","created":"2026-02-20","cited_by_count":12,"area":null},{"id":"2509.08269","title":"A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving","created":"2025-09-10","cited_by_count":11,"area":null},{"id":"2510.09901","title":"Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics","created":"2025-10-10","cited_by_count":11,"area":"agents"},{"id":"2410.22296","title":"Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks","created":"2024-10-29","cited_by_count":10,"area":null},{"id":"2507.11810","title":"Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator","created":"2025-07-16","cited_by_count":9,"area":null},{"id":"2407.08642","title":"Towards Building Specialized Generalist AI with System 1 and System 2 Fusion","created":"2024-07-11","cited_by_count":8,"area":null},{"id":"2503.01424","title":"From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems","created":"2025-03-03","cited_by_count":8,"area":null},{"id":"2507.21035","title":"GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis","created":"2025-07-28","cited_by_count":8,"area":"agents"},{"id":"2602.17607","title":"AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific Computing","created":"2026-02-19","cited_by_count":8,"area":"agents"},{"id":"2407.17404","title":"Grammar-based Game Description Generation using Large Language Models","created":"2024-07-24","cited_by_count":7,"area":null},{"id":"2411.00412","title":"Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation","created":"2024-11-01","cited_by_count":7,"area":null},{"id":"2412.08296","title":"GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks","created":"2024-12-11","cited_by_count":7,"area":null},{"id":"2503.09620","title":"Exploiting Edited Large Language Models as General Scientific Optimizers","created":"2025-03-08","cited_by_count":7,"area":"lr"},{"id":"2508.17380","title":"Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery","created":"2025-08-24","cited_by_count":7,"area":null},{"id":"2511.02238","title":"Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Network","created":"2025-11-04","cited_by_count":7,"area":"agents"},{"id":"2505.17873","title":"MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback","created":"2025-05-23","cited_by_count":6,"area":null},{"id":"2502.20309","title":"EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants","created":"2025-02-27","cited_by_count":5,"area":null},{"id":"2507.05528","title":"Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment","created":"2025-07-07","cited_by_count":5,"area":"agents"},{"id":"2602.10576","title":"LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization","created":"2026-02-11","cited_by_count":5,"area":null},{"id":"2605.31468","title":"AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle","created":"2026-05-29","cited_by_count":5,"area":"agents"},{"id":"2410.05406","title":"Synthesizing Interpretable Control Policies through Large Language Model Guided Search","created":"2024-10-07","cited_by_count":4,"area":null},{"id":"2512.04770","title":"Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges","created":"2025-12-04","cited_by_count":4,"area":null},{"id":"2504.02888","title":"A Status Quo Investigation of Large Language Models towards Cost-Effective CFD Automation with OpenFOAMGPT: ChatGPT vs. Qwen vs. Deepseek","created":"2025-04-02","cited_by_count":3,"area":null},{"id":"2508.06030","title":"Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings","created":"2025-08-08","cited_by_count":3,"area":null},{"id":"2508.13792","title":"VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization","created":"2025-08-19","cited_by_count":3,"area":null},{"id":"2508.19611","title":"Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design","created":"2025-08-27","cited_by_count":3,"area":"agents"},{"id":"2509.25459","title":"SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA","created":"2025-09-29","cited_by_count":3,"area":"rag"},{"id":"2509.25946","title":"Automated Model Discovery via Multi-modal & Multi-step Pipeline","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2511.15163","title":"Teaching According to Students' Aptitude: Personalized Mathematics Tutoring via Persona-, Memory-, and Forgetting-Aware LLMs","created":"2025-11-19","cited_by_count":3,"area":null},{"id":"2606.09638","title":"Data-driven discovery of governing differential equations across physical systems","created":"2026-06-08","cited_by_count":3,"area":null},{"id":"2507.08425","title":"A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities","created":"2025-07-11","cited_by_count":2,"area":null},{"id":"2508.21484","title":"Data-driven Discovery of Digital Twins in Biomedical Research","created":"2025-08-29","cited_by_count":2,"area":null},{"id":"2510.00373","title":"Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis","created":"2025-10-01","cited_by_count":2,"area":null},{"id":"2512.01735","title":"Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials","created":"2025-12-01","cited_by_count":2,"area":"agents"},{"id":"2601.19255","title":"LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection","created":"2026-01-27","cited_by_count":2,"area":null},{"id":"2606.09105","title":"Graph2Idea:Retrieval-Augmented Scientific Idea Generation with Graph-Structured Contexts","created":"2026-06-08","cited_by_count":2,"area":"rag"},{"id":"2406.07572","title":"Domain-specific ReAct for physics-integrated iterative modeling: A case study of LLM agents for gas path analysis of gas turbines","created":"2024-06-01","cited_by_count":1,"area":"agents"},{"id":"2409.03402","title":"Game On: Towards Language Models as RL Experimenters","created":"2024-09-05","cited_by_count":1,"area":null},{"id":"2507.17209","title":"HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2511.10833","title":"SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery","created":"2025-11-13","cited_by_count":1,"area":null},{"id":"2601.00088","title":"Dynamic Bayesian Optimization Framework for Instruction Tuning in Partial Differential Equation Discovery","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2601.12805","title":"SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding","created":"2026-01-19","cited_by_count":1,"area":null},{"id":"2602.12311","title":"Perceptual Self-Reflection in Agentic Physics Simulation Code Generation","created":"2026-02-12","cited_by_count":1,"area":"agents"},{"id":"2605.03101","title":"Programmatic Context Augmentation for LLM-based Symbolic Regression","created":"2026-05-04","cited_by_count":1,"area":null},{"id":"2605.04375","title":"Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2605.30961","title":"EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2505.19409","title":"Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2506.09755","title":"Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era","created":"2025-06-11","cited_by_count":0,"area":"agents"},{"id":"2512.10611","title":"Phythesis: Physics-Guided Evolutionary Scene Synthesis for Energy-Efficient Data Center Design via LLMs","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2603.22039","title":"RAFL: Generalizable Sim-to-Real of Soft Robots with Residual Acceleration Field Learning","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2605.23754","title":"LLM-driven design of physics-constrained constitutive models: two agents are better than one","created":"2026-05-22","cited_by_count":0,"area":"agents"},{"id":"2606.10286","title":"Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.24419","title":"Failures Reveal What Metrics Miss: An Evidence-Driven Agent for Recursive Refinement of ECG Classifiers","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.03600","title":"Large language models for partial differential equation workflows","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.16876","title":"AutoSR: Automatic Symbolic Regression by Searching Research States","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.27475","title":"Hypothesize, Evaluate, Refine: A Scientific Agent for PDE Discovery with Unknown Spatial Coefficient Fields","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2608.28660","title":"Test-Time Scaling for Scientific Equation Discovery","created":"2026-08-21","cited_by_count":0,"area":"lr"},{"id":"2608.30532","title":"DiffPDE: Masked Diffusion Language Models as PDE Solver","created":"2026-08-31","cited_by_count":0,"area":"diffusion"},{"id":"2609.07254","title":"Mathematical Programming in Machine Learning and Artificial Intelligence: A Unified Taxonomy of Models and Applications","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.32394","title":"Beyond Scripted Search: Sample-Efficient Reward Discovery via Agentic Black-box Optimization","created":"2026-09-26","cited_by_count":0,"area":"agents"},{"id":"2609.35336","title":"TMCS: Tool-Grounded Multi-Agent Reasoning for Compositional Chemical Problem Solving","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2609.35501","title":"SRHarness: A Harness for Agentic Symbolic Regression","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2610.01128","title":"Grounding Large Language Models in DSGE Simulators for Policy Generation and Forecasting","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.03947","title":"Synthesizing Physics Formulae with Transformers","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.06257","title":"SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator Authoring","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.16812","title":"DASS: A Solver-Adaptable Dynamic Auxiliary Search Strategy for Symbolic Regression","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.16966","title":"Learning to Design SR Solvers: Harness Optimization for Symbolic Regression","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}