Key papers

• Agent Laboratory: Using LLM Agents as Research Assistants (2025)
  Samuel Schmidgall et al.
  10.31
• Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition (2026)
  Jing Jie Tan et al.
  5.89
• AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations (2025)
  Chi Zhang et al.
  5.82
• Towards a future space-based, highly scalable AI infrastructure system design (2025)
  Blaise Ag\"uera y Arcas et al.
  5.81
• Agentic AI for IPoDWDM Network Lifecycle Automation: An MCP-Enabled Architecture (2026)
  Chunmin Xia et al.
  4.39
• Agents That Teach: Towards Designing Incidental Learning Back into AI-Assisted Software Development (2026)
  Rohit Mehra et al.
  4.39
• AI YOU Town: Make Friends and Money with Your Digital Twin (2026)
  Yan Lin et al.
  4.39
• Personalized Emotional Intelligence in Generative AI through Symbolic Affective Reasoning (2026)
  Qing Lin et al.
  4.39
• Imaging-101: Benchmarking LLM Coding Agents on Scientific Computational Imaging (2026)
  Siyi Chen et al.
  4.39
• LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans (2026)
  Yuma Ichikawa et al.
  4.39
• QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics (2026)
  Tianjing Zeng et al.
  4.39
• Bringing Back Rule Induction to Fluid Intelligence Research? An Initial Validation of the ARC-AGI Benchmark in Humans (2026)
  Jasmin Thelen et al.
  4.39
• Public perceptions of AI-driven decision-making in healthcare: A structural equation modeling approach (2026)
  Leonie Westerbeek et al.
  4.39
• DiffUNet^2: Bidirectional Prediction, Probabilistic Generation and Collaborative Visual Discovery for Scientific Data (2026)
  Mengdi Chu et al.
  4.33
• Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty (2025)
  Yao Wang et al.
  4.30
• First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope (2026)
  Gianluca Inguglia
  4.27
• The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems (2025)
  Ziming Luo et al.
  3.97
• Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition (2026)
  Nils Einecke
  3.92
• AI Scientists Fail Without Strong Implementation Capability (2025)
  Minjun Zhu et al.
  3.81
• Reconceptualizing Smart Microscopy: From Data Collection to Knowledge Creation by Multi-Agent Integration (2025)
  P.S. Kesavan and Pontus Nordenfelt
  3.75
• SymbOmni: Evolving Agentic Omni Models via Symbolic Concept Learning (2026)
  Jinxiu Liu et al.
  3.51
• Towards an Automated Test of LLM Security Knowledge (2026)
  Shufan Chai et al.
  3.51
• Querying Multimodal Scientific Papers with AI: Practices and Preferences Across Blind, Low-Vision, and Sighted Scientists (2026)
  Arnavi Chheda-Kothary et al.
  3.51
• SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research (2026)
  Shuofei Qiao et al.
  3.39
• AI-Researcher: Autonomous Scientific Innovation (2025)
  Jiabin Tang et al.
  2.82
• Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents (2025)
  Patrick Tser Jern Kon et al.
  2.65
• Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback (2025)
  Jiakang Yuan et al.
  2.60
• Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy (2026)
  Patrick Phuoc Do et al.
  2.00
• GIANTS: Generative Insight Anticipation from Scientific Literature (2026)
  Joy He-Yueya et al.
  1.83
• An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics (2026)
  Miri Liu et al.
  1.83
• Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-Training (2026)
  Moein Salimi et al.
  1.83
• Sparking Scientific Creativity via LLM-Driven Interdisciplinary Inspiration (2026)
  Priyanka Kargupta et al.
  1.78
• The AI Scientific Community: Agentic Virtual Lab Swarms (2026)
  Ulisses Braga-Neto
  1.78
• Toward Evaluation Frameworks for Multi-Agent Scientific AI Systems (2026)
  Marcin Abram
  1.78
• FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration (2026)
  Qiyao Wang et al.
  1.78
• Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems (2026)
  Benedikt Hartl et al.
  1.67
• Generating Literature-Driven Scientific Theories at Scale (2026)
  Peter Jansen et al.
  1.67
• NeurIPS should lead scientific consensus on AI policy (2025)
  Rishi Bommasani
  1.50
• HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation (2025)
  Rosni Vasu and Peter Jansen and Pao Siangliulue and Cristina Sarasua and Abraham Bernstein and Peter Clark and Bhavana Dalvi Mishra
  1.50
• A Survey of AI Scientists (2025)
  Guiyao Tie et al.
  1.50
• The FM Agent (2025)
  Annan Li et al.
  1.50
• Charting the Future of Scholarly Knowledge with AI: A Community Perspective (2025)
  Azanzi Jiomekong et al.
  1.44
• Combinatorial Creativity: A New Frontier in Generalization Abilities (2025)
  Samuel Schapiro et al.
  1.44
• GUIDE: Towards Scalable Advising for Research Ideas (2025)
  Yaowenqi Liu et al.
  1.33
• The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist (2025)
  Haoxuan Zhang et al.
  1.33
• The Budget AI Researcher and the Power of RAG Chains (2025)
  Franklin Lee and Tengfei Ma
  1.28
• Bayesian Epistemology with Weighted Authority: A Formal Architecture for Truth-Promoting Autonomous Scientific Reasoning (2025)
  Craig S. Wright
  1.28
• Agentic Publications: An LLM-Driven Framework for Interactive Scientific Publishing, Supplementing Traditional Papers with AI-Powered Knowledge Systems (2025)
  Roberto Pugliese and George Kourousias and Francesco Venier and Grazia Garlatti Costa
  1.22
• MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research (2025)
  Hui Chen et al.
  1.22
• AI Idea Bench 2025: AI Research Idea Generation Benchmark (2025)
  Yansheng Qiu et al.
  1.17
• Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey (2018)
  Javier Mata et al.
  —
• Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future (2018)
  Jeffrey L. Krichmar et al.
  —
• SAIBench: Benchmarking AI for Science (2022)
  Yatao Li et al.
  —
• Towards Language-driven Scientific AI (2022)
  Jos\'e Manuel G\'omez-P\'erez
  —
• Towards a Benchmark for Scientific Understanding in Humans and Machines (2023)
  Kristian Gonzalez Barman et al.
  —
• AI4OPT: AI Institute for Advances in Optimization (2023)
  Pascal Van Hentenryck et al.
  —
• AI empowering research: 10 ways how science can benefit from AI (2023)
  C\'esar Fran\c{c}a
  —
• Beyond principlism: Practical strategies for ethical AI use in research practices (2024)
  Zhicheng Lin
  —
• Autonomous LLM-driven research from data to human-verifiable research papers (2024)
  Tal Ifargan et al.
  —
• Oil & Water? Diffusion of AI Within and Across Scientific Fields (2024)
  Eamon Duede et al.
  —