Discovery

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29 papers in the last four weeks, up 71% on the four weeks before. 0.4% of all new papers.

Jul 6Week of Sep 21

Latest papers 213

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MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI
May 9, 2026Bohan Lyu, Yucheng Yang, Siqiao Huang +25Mle-Bench Lite Agentic Benchmarks
UC Berkeley · Tsinghua University · Purdue University +6
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
May 8, 2026Tong Zheng, Haolin Liu, Chengsong Huang +10Test-Time Scaling Agentic Discovery
UMD · UVA · WUSTL +3
Open-Ended Task Discovery via Bayesian Optimization
May 8, 2026Masaki Adachi, Yuta Suzuki, Juliusz ZiomekBayesian Optimization Scientific Workflows
Lattice Lab · Toyota Motor Corporation · Machine Learning Research Group +1
MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
May 6, 2026Shicheng Fan, Nour Elhendawy, Jianle Sun +4Causal Representation Learning Causal Discovery Methods
University of Illinois Chicago · Case Western Reserve University · Carnegie Mellon University +1
From Video-to-PDE: Data-Driven Discovery of Nonlinear Dye Plume Dynamics
May 6, 2026Cesar Acosta-Minoli, Sayantan SarkarIntensity Discovery
aGEDES, Universidad del Quindio, Cra 15 Cl 12-00, Armenia, 630004, Quindio, Colombia · bDepartment of Mathematics, State University of New York at Buffalo, Mathematics Building, Buffalo, 14260, New York, USA
Causal discovery under mean independence and linearity
May 6, 2026Geert Mesters, Alvaro Ribot, Anna Seigal +1Causal Discovery Methods Conditional Independence
BaRA: Budget-constrained and Reliable Web Data Collection Agent
May 2, 2026Soojeong Lee, Joseph Lee, Yongseong Cho +3Web Agents Discovery
Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea · Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea · HUSTLERS Corp., Seoul, Republic of Korea
In-Context Examples Suppress Scientific Knowledge Recall in LLMs
Apr 30, 2026Chaemin Jang, Woojin Park, Hyeok Yun +2Scientific Discovery LLM Reasoning Strategies
Korea Advanced Institute of Science and Technology · Shanghai Jiao Tong University
End-to-end autonomous scientific discovery on a real optical platform
Apr 29, 2026Shuxing Yang, Fujia Chen, Rui Zhao +10Discovery Optical
State Key Laboratory of Extreme Photonics and Instrumentation, College of Information Science and Electronic Engineering, ZJU-Hangzhou Global Scientific and Technological Innovation Center, The Electromagnetics Academy at Zhejiang University, Zhejiang University, Hangzhou 310027, China · Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang, Jinhua Institute of Zhejiang University, Zhejiang University, Jinhua 321099, China · Shaoxing Institute of Zhejiang University, Zhejiang University, Shaoxing 312000, China +3
Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation
Apr 29, 2026Saheed Faremi, Andrea Visentin, Luca LongoElectroencephalography Decoding Electroencephalography
School of Computer Science and Information Technology, University College Cork, Western Road, Cork, T12 XF62, Ireland · Artificial Intelligence and Cognitive Load Research Lab, University College Cork, Ireland · Insight RI Research Centre for Data Analytics, University College Cork, Ireland
Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft
Apr 27, 2026Zhou Ziheng, Huacong Tang, Jinyuan Zhang +9Artificial Intelligence Scientists Agentic Discovery
University of California, Los Angeles · Peking University · Amazon
DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery
Apr 27, 2026Jiawei Wang, Ming Lei, Yaning Yang +8Species Identification Taxonomy
National University of Singapore · Hunan University · Xiangtan University +4
Usable Agent Discovery for Decentralized AI Systems
Apr 25, 2026Patrizio Dazzi, Emanuele Carlini, Matteo Mordacchini +1Gossip Discovery
Department of Computer Science University of Pisa · Institute of Information Science and Technologies National Research Council of Italy · Institute of Informatics and Telematics National Research Council of Italy
H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers
Apr 23, 2026Ayushi Mehrotra, Dipkamal Bhusal, Michael Clifford +1Saliency High-Order Correlations
Rochester Institute of Technology · Toyota InfoTech Labs
Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
Apr 23, 2026Yi-Ling Liu, Melvin Laux, Mariela De Lucas Alvarez +2Multi-Turn Reinforcement Learning Autonomous Underwater Vehicles
Robotics Innovation Center, German Research Center for Artificial Intelligence, Bremen, Germany · Robotics Research Group, University of Bremen, Bremen, Germany
CoFEE: Reasoning Control for LLM-Based Feature Discovery
Apr 23, 2026Maximilian Westermann, Ben Griffin, Aaron Ontoyin Yin +6LLM Reasoning Strategies Model Discovery
University of Oxford · Vela Research · Amazon
'The Order in the Horse's Heart': A Case Study in LLM-Assisted Stylometry for the Discovery of Biblical Allusion in Modern Literary Fiction
Apr 21, 2026Ewan CameronLiterature Stylometric
Actuarial Mathematics & Statistics, School of Mathematical & Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
How Much Data is Enough? The Zeta Law of Discoverability in Biomedical Data, featuring the enigmatic Riemann zeta function
Apr 19, 2026Paul M. ThompsonScaling Laws Biomedical
Stevens Institute for Neuroimaging & Informatics · University of Southern California · Los Angeles, CA, USA
Neuro-Symbolic ODE Discovery with Latent Grammar Flow
Apr 17, 2026Karin Yu, Eleni Chatzi, Georgios KissasNeuro-Symbolic Framework Latent Flow
Institute of Structural Engineering, ETH Zurich, Zurich, Switzerland · ETH AI Center, ETH Zurich, Zurich, Switzerland · Swiss Data Science Center, Zurich, Switzerland
CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
Apr 17, 2026Jiahui Geng, Qing Li, Fengyu Cai +1Ai-Assisted Programming Tasks Code Generation
MBZUAI, UAE · Linköping University, Sweden · University of Groningen, Netherlands +1
El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation
Apr 16, 2026Zijian Zhang, Aiwei Yin, Amaan Baweja +4Discovery
Department of Computer Science, University of Toronto, 40 St George St., Toronto, ON M5S 2E4, Canada · Vector Institute for Artificial Intelligence, W1140-108 College St., Schwartz Reisman Innovation2026 Campus, Toronto, ON M5G 0C6, Canada · NVIDIA, 431 King St W #6th, Toronto, ON M5V 1K4, Canada +5
ModuSeg: Decoupling Object Discovery and Semantic Retrieval for Training-Free Weakly Supervised Segmentation
Apr 8, 2026Qingze He, Fagui Liu, Dengke Zhang +2Semantic Segmentation High Confidence Pseudo-Labels
South China University of Technology, Guangzhou, China · Pengcheng Laboratory, Shenzhen, China
Visual Prompt Discovery via Semantic Exploration
Mar 17, 2026Jaechang Kim, Yotaro Shimose, Zhao Wang +3Visual In-Context Learning Visual Reasoning
Sony Group Corporation · Pohang University of Science and Technology · National Yang Ming Chiao Tung University
Novelty Adaptation Through Hybrid Large Language Model (LLM)-Symbolic Planning and LLM-guided Reinforcement Learning
Mar 11, 2026Hong Lu, Pierrick Lorang, Timothy R. Duggan +2Classical Planning Neuro-Symbolic Framework
Department of Computer Science, Tufts University, Medford, MA, USA · Austrian Institute of Technology GmbH, Vienna, Austria
Agent Identity URI Scheme: Topology-Independent Naming and Capability-Based Discovery for Multi-Agent Systems
Jan 21, 2026Roland R. RodriguezModel-Based Multi-Agent Systems Discovery
Independent Researcher
When is a System Discoverable from Data? Discovery Requires Chaos
Nov 12, 2025Zakhar Shumaylov, Peter Zaika, Philipp Scholl +3Chaos Model Discovery
University of Cambridge · LMU Munich and Munich Center for Machine Learning (MCML) · IBM Research
Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach
Nov 3, 2025Jacob CarlsonModel Discovery Unstructured Data
Harvard University∗
Neural Logic Networks for Interpretable Classification
Aug 11, 2025Vincent Perreault, Katsumi Inoue, Richard Labib +1Differentiable Logic Gate Networks Neural Network
Department of Mathematics and Industrial Engineering Polytechnique Montréal · National Institute of Informatics, Tokyo
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
Jun 9, 2025Yifei Li, Hanane Nour Moussa, Ziru Chen +16Artificial Intelligence Scientists Scientific Agents
Department of Computer Science and Engineering · The Ohio State University · Department of Chemistry +6
OmegAMP: Targeted AMP Discovery via Biologically Informed Generation
Apr 24, 2025Diogo Soares, Leon Hetzel, Paulina Szymczak +6Antimicrobial Peptide Discovery
Institute of AI for Health, Helmholtz Munich · School of Computation, Information and Technology, Technical University of Munich · Institute of Computational Biology, Helmholtz Munich +8
A Neural Operator-Based Approach to Symbolic Discovery of PDEs
Jan 14, 2025Sergei Garmaev, Olga FinkNeural Operators Nonlinear Operators
Intelligent Maintenance and Operations Systems Laboratory, EPFL, Lausanne, Switzerland
Automated Discovery of Operable Dynamics from Videos
Oct 14, 2024Kuang Huang, Dong Heon Cho, Boyuan ChenDynamical Systems Model Discovery
Department of Applied Physics and Applied Mathematics, Columbia University, 500 W. 120th Street, New York, 10027, NY, USA. · Department of Computer Science, Duke University, 308 Research Dr., Durham, 27705, NC, USA. · Department of Mechanical Engineering and Material Science, Duke University, 121 Hudson Hall, Durham, 27708, NC, USA. +1
Measuring Progress in Reasoning Toward Mathematical Discovery with Automatic Verification
Date pendingErik Y. Wang, Sumeet R. Motwani, James V. Roggeveen +9Open Problems Theorem Proving
Stanford University · Benchmark · University of Oxford +3

May 9, 2026, cs.LGJ/K move · Enter open · S save

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang+24

UC Berkeley · Tsinghua University · Purdue University+6

Mle-Bench Lite Agentic Benchmarks Artificial Intelligence Systems Discovery

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Modern AI progress has been driven by ML methods that are generalizable across settings and scalable to larger regimes. As large language models demonstrate advanced capabilities in reasoning, coding, and engineering tasks, it is increasingly important to understand whether they can discover such methods rather than only apply existing ones. We introduce MLS-Bench, a benchmark for evaluating whether AI systems can invent generalizable and scalable ML methods. MLS-Bench contains 140 tasks across 12 domains, each requiring an agent to improve one targeted component of an ML system or algorithm and demonstrate that the improvement generalizes across controlled settings and scales. We find that current agents remain far from reliably surpassing human-designed methods, and that engineering-style tuning is easier for them than genuine method invention. We further study the effects of test-time scaling, adaptive compute allocation, and context provision on agents' discovery performance, together with case studies of their behavior. Our analyses suggest that the bottleneck is not only in proposing new methods, but also in the scientific insight needed to plan, validate, and scale claims about them. More search, compute, or context alone does not remove this bottleneck. We build and maintain a community platform for cumulative and comparable iteration, and release the data and code at https://mls-bench.com.

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Latest papers 213