Papers with no author rows
| lom_id | title | year | arxiv | openalex |
|---|---|---|---|---|
| arxiv:2604.09805 | Building an Internal Coding Agent at Zup: Lessons and Open Questions | 2026 | 2604.09805 | |
| arxiv:2605.05076 | High-Dimensional Statistics: Reflections on Progress and Open Problems | 2026 | 2605.05076 | |
| arxiv:2605.29885 | Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion | 2026 | 2605.29885 | |
| arxiv:2605.30389 | The Inclusion Depth of Pattern Languages: An Open Problem in Algorithmic Learning Theory | 2026 | 2605.30389 | |
| arxiv:2606.07327 | Six Open Questions in Machine-Learned Interatomic Potential Foundation Models | 2026 | 2606.07327 | |
| arxiv:2607.04129 | Toward the Right Analytical Model and System Software for Autonomous Driving Systems: Open Problems and Research Directions | 2026 | 2607.04129 | |
| arxiv:2607.07851 | Kime-Representation Formulations of Three Open Problems in the Foundations of Classical Mechanics: Uncertainty, Invariant Entropy, and Directional Degrees of Freedom | 2026 | 2607.07851 | |
| arxiv:2607.12870 | A Survey on Code Equivalence: The State-of-the-Art and Open Questions | 2026 | 2607.12870 | |
| arxiv:2608.01206 | On three open problems in zero-sum Ramsey numbers | 2026 | 2608.01206 | |
| arxiv:2608.10119 | Machine Shape and Hierarchical Blocking: A Mathematics of Arrays Formalization, with an Open Problem in Hierarchical Shape Occupancy | 2026 | 2608.10119 | |
| arxiv:2608.26628 | Open Problems in Mathematical Logic | 2026 | 2608.26628 | |
| doi:10.5281/zenodo.19044633 | Recursive Self-Improvement Stability under Endogenous Yardstick Drift | 2026 | W3124659334 | |
| arxiv:2502.18864 | Towards an ai co-scientist | 2025 | 2502.18864 | |
| arxiv:2504.11453 | A clean slate for offline reinforcement learning | 2025 | 2504.11453 | |
| arxiv:2505.07782 | Mle-dojo: Interactive environments for empowering llm agents in machine learning engineering | 2025 | 2505.07782 | |
| arxiv:2505.13941 | Mlzero: A multi-agent system for end-to-end machine learning automation | 2025 | 2505.13941 | |
| arxiv:2506.02098 | LibriBrain: over 50 hours of within-subject meg to improve speech decoding methods at scale | 2025 | 2506.02098 | |
| arxiv:2506.12618 | OpenUnlearning: accelerating LLM unlearning via unified benchmarking of methods and metrics | 2025 | 2506.12618 | |
| arxiv:2506.15692 | Mle-star: Machine learning engineering agent via search and targeted refinement | 2025 | 2506.15692 | |
| arxiv:2506.16499 | Ml-master: Towards ai-for-ai via integration of exploration and reasoning | 2025 | 2506.16499 | W4417538505 |
| arxiv:2506.18096 | Deep research agents: A systematic examination and roadmap | 2025 | 2506.18096 | |
| arxiv:2507.02554 | Ai research agents for machine learning: Search, exploration, and generalization in mle-bench | 2025 | 2507.02554 | |
| arxiv:2508.10177 | Kompeteai: Accelerated autonomous multi-agent system for end-to-end pipeline generation for machine learning problems | 2025 | 2508.10177 | |
| arxiv:2508.10925 | Gpt-oss-120b & gpt-oss-20b Model Card | 2025 | 2508.10925 | |
| arxiv:2509.19349 | Shinkaevolve: Towards open-ended and sample-efficient program evolution | 2025 | 2509.19349 | |
| arxiv:2510.17795 | Executable knowledge graphs for replicating ai research | 2025 | 2510.17795 | |
| doi:10.1007/978-3-032-13562-9_5 | Building LLM-Based Artificial Market Simulations: Can LLMs Function as Agents in Multi-agent Simulations for Finance? | 2025 | W7115067259 | |
| doi:10.1101/2025.05.14.654152 | Case Study of Using AI as Co-Pilot in Biotech Research: Functional Network Analysis of Invasive Cancer | 2025 | W4410477085 | |
| doi:10.62051/yygprz73 | Evaluating Human-Like Qualities in Language Models | 2025 | W4413438966 | |
| arxiv:2407.21783 | The llama 3 herd of models, 2024 | 2024 | 2407.21783 | |
| doi:10.1126/science.adj0998 | GPTs are gpts: labor market impact potential of llms | 2024 | ||
| doi:10.1145/3663529.3663794 | Predicting test results without execution | 2024 | ||
| doi:10.21681/2311-3456-2024-3-68-75 | METHODOLOGY FOR THE DEVELOPMENT OF AUTOMATED SOFTWARE CODE GENERATION TOOLS BY FINE-TUNING LARGE LANGUAGE MODELS | 2024 | W4398788199 | |
| doi:10.4230/oasics.dx.2024.27 | On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper) | 2024 | W2962862931 | |
| doi:10.1787/f1262928-en | Preface | 2023 | W4382061812 | |
| doi:10.18653/v1/2023.acl-long | Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) | 2023 | W2148437670 | |
| doi:10.18653/v1/2023.acl-short | Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) | 2023 | W2759181158 | |
| doi:10.4230/lipics.cosit.2024.11 | GPT-4 Technical Report | 2023 | W4327810158 | |
| doi:10.4230/lipics.giscience.2023.43 | Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics | 2023 | W4292779060 | |
| doi:10.4230/lipics.itp.2023.19 | Exploiting Generative AI to Scale up Intelligent Tutoring Systems | 2023 | W4385245566 | |
| arxiv:2007.04074 | Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning | 2022 | 2007.04074 | |
| doi:10.1126/science.abq1158 | Competition-level code generation with alphacode | 2022 | ||
| doi:10.1145/3512290 | Proceedings of the Genetic and Evolutionary Computation Conference | 2022 | W2525203296 | |
| doi:10.57125/fp.2022.06.30.05 | Artificial Intelligence and Society: Pros and Cons of the Present, Future Prospects | 2022 | W4383568875 | |
| openalex:W3007066689 | Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) | 2021 | W3007066689 | |
| doi:10.22381/lpi1920204 | Deep Learning Algorithms and Big Health Care Data in Clinical Natural Language Processing | 2020 | W3083832252 | |
| doi:10.1021/acs.biochem.9b00237 | Revisiting Trade-offs between Rubisco Kinetic Parameters | 2019 | W2953652338 | |
| doi:10.1038/s41477-019-0398-8 | Quantifying impacts of enhancing photosynthesis on crop yield | 2019 | W2936713371 | |
| doi:10.1073/pnas.1816654116 | The global mass and average rate of rubisco | 2019 | W2918003159 | |
| doi:10.1126/science.aat9077 | Synthetic glycolate metabolism pathways stimulate crop growth and productivity in the field | 2019 | W2907337795 | |
| doi:10.18653/v1/n19-1421 | CommonsenseQA: A question answering challenge targeting commonsense knowledge | 2019 | ||
| doi:10.24920/003611 | Artificial Intelligence in Healthcare and Medicine: Promises, Ethical Challenges and Governance | 2019 | W2959065917 | |
| doi:10.4230/tgdk.3.3.5 | DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter | 2019 | W2978017171 | |
| doi:10.1038/s41477-018-0191-0 | Manganese binding to Rubisco could drive a photorespiratory pathway that increases the energy efficiency of photosynthesis | 2018 | W2810947115 | |
| doi:10.1073/pnas.1711842115 | The biomass distribution on Earth | 2018 | W2804910112 | |
| doi:10.1093/jxb/ery355 | Temperature response of Rubisco kinetics in Arabidopsis thaliana : thermal breakpoints and implications for reaction mechanisms | 2018 | W2950086965 | |
| doi:10.1111/pce.13149 | Rubisco is not really so bad | 2018 | W2793818469 | |
| doi:10.1891/9780826190123.ap02 | Transforming Our World: The 2030 Agenda for Sustainable Development | 2018 | W2412247133 | |
| doi:10.3389/fpls.2018.00183 | Directions for Optimization of Photosynthetic Carbon Fixation: RuBisCO's Efficiency May Not Be So Constrained After All | 2018 | W2791919686 | |
| doi:10.3389/fpls.2018.00929 | Commentary: Directions for Optimization of Photosynthetic Carbon Fixation: RuBisCO's Efficiency May Not Be So Constrained After All | 2018 | W2811132240 | |
| openalex:W2896457183 | AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale | 2018 | W2896457183 | |
| doi:10.1016/j.plantsci.2017.12.007 | Daring metabolic designs for enhanced plant carbon fixation | 2017 | W2780939001 | |
| doi:10.1038/s41477-017-0065-x | Plants increase CO2 uptake by assimilating nitrogen via the photorespiratory pathway | 2017 | W2771339619 | |
| doi:10.1057/978-1-137-51053-2 | Genderqueer and Non-Binary Genders | 2017 | W2775677082 | |
| doi:10.1073/pnas.1611835114 | Overcoming catastrophic forgetting in neural networks | 2017 | ||
| doi:10.1073/pnas.1706849114 | Evolutionary and molecular foundations of multiple contemporary functions of the nitroreductase superfamily | 2017 | W2766165445 | |
| doi:10.1093/femsle/fnx156 | Surveying the expanding prokaryotic Rubisco multiverse | 2017 | W2738400886 | |
| doi:10.1093/jxb/erx110 | The possible evolution and future of CO2-concentrating mechanisms | 2017 | W2612178113 | |
| doi:10.3156/jsoft.29.5_177_2 | GAN(Generative Adversarial Nets) | 2017 | W2099471712 | |
| doi:10.4135/9781483365817.n660 | Health Insurance Portability and Accountability Act | 2017 | W3108602244 | |
| doi:10.4230/oasics.dx.2024.16 | Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper) | 2017 | W2736601468 | |
| doi:10.1038/ncomms10382 | Biochemical characterization of predicted Precambrian RuBisCO | 2016 | W2335924208 | |
| doi:10.1038/nplants.2016.186 | Temperature responses of Rubisco from Paniceae grasses provide opportunities for improving C3 photosynthesis | 2016 | W2558604538 | |
| doi:10.1073/pnas.1525145113 | pH determines the energetic efficiency of the cyanobacterial CO 2 concentrating mechanism | 2016 | W2508450075 | |
| doi:10.1093/jxb/erw163 | Large variation in the Rubisco kinetics of diatoms reveals diversity among their carbon-concentrating mechanisms | 2016 | W2344478091 | |
| doi:10.1104/pp.16.00750 | Surveying Rubisco diversity and temperature response to improve crop photosynthetic efficiency | 2016 | W2469523186 | |
| doi:10.4230/oasics.ldk.2021.24 | Deep Biaffine Attention for Neural Dependency Parsing | 2016 | W2552110825 | |
| arxiv:1502.02259 | Contextual Markov Decision Processes | 2015 | 1502.02259 | |
| doi:10.1111/pce.12629 | The mechanism of Rubisco‐catalysed oxygenation | 2015 | W2112164915 | |
| doi:10.1111/tpj.13098 | Transgenic tobacco plants with improved cyanobacterial Rubisco expression but no extra assembly factors grow at near wild‐type rates if provided with elevated CO 2 | 2015 | W2286023125 | |
| doi:10.4230/lipics.cp.2021.42 | (untitled in OpenAlex) | 2015 | W2964121744 | |
| doi:10.4324/9781315664095-6 | The Sociology of Gender Theoretical Perspectives and Feminist Frameworks | 2015 | W2901900691 | |
| openalex:W2139484679 | Integrative, Multi-modal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images and Clinical Outcomes | 2015 | W2139484679 | |
| doi:10.1038/nmeth.3027 | Deep mutational scanning: a new style of protein science | 2014 | W2060588922 | |
| doi:10.1104/pp.113.232611 | Can the Cyanobacterial Carbon-Concentrating Mechanism Increase Photosynthesis in Crop Species? A Theoretical Analysis | 2014 | W2110751375 | |
| doi:10.1111/pce.12335 | Expanding knowledge of the R ubisco kinetics variability in plant species: environmental and evolutionary trends | 2014 | W2130565756 | |
| doi:10.1146/annurev-biochem-060713-035737 | Expanding and Reprogramming the Genetic Code of Cells and Animals | 2014 | W2148123458 | |
| doi:10.1111/nph.12197 | R ubisco: still the most abundant protein of Earth? | 2013 | W2058591691 | |
| doi:10.4230/lipics.fun.2016.3 | Generating Sequences With Recurrent Neural Networks | 2013 | W1810943226 | |
| doi:10.5860/choice.51-2716 | Probably approximately correct: nature's algorithms for learning and prospering in a complex world | 2013 | W645876618 | |
| doi:10.1126/science.1217405 | Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space | 2012 | W2010025771 | |
| doi:10.1177/1745691612462588 | An Open, Large-Scale, Collaborative Effort to Estimate the Reproducibility of Psychological Science | 2012 | W1575893985 | |
| doi:10.1021/bi2002289 | The Moderately Efficient Enzyme: Evolutionary and Physicochemical Trends Shaping Enzyme Parameters | 2011 | W2124019798 | |
| doi:10.1093/nar/gkr874 | eQuilibrator--the biochemical thermodynamics calculator | 2011 | W2116976883 | |
| doi:10.1016/j.tplants.2010.03.006 | Photorespiration: players, partners and origin | 2010 | W2018267605 | |
| doi:10.1073/pnas.0911663107 | Cross-species analysis traces adaptation of Rubisco toward optimality in a low-dimensional landscape | 2010 | W2140756273 | |
| doi:10.1146/annurev-arplant-042809-112206 | Improving Photosynthetic Efficiency for Greater Yield | 2010 | W2117225984 | |
| doi:10.1108/dpm.2009.07318cae.003 | Global Catastrophic Risks | 2009 | W1677253155 | |
| doi:10.5860/choice.47-1924 | Self-constitution: agency, identity, and integrity | 2009 | W633707111 | |
| doi:10.1016/j.plaphy.2008.01.001 | Structure and function of Rubisco | 2008 | W1974252038 | |
| doi:10.1007/s11120-007-9240-7 | Ribulose-1,5-bisphosphate carboxylase/oxygenase from thermophilic cyanobacterium Thermosynechococcus elongatus | 2007 | W2090814641 | |
| doi:10.1074/jbc.m706274200 | Differences in Carbon Isotope Discrimination of Three Variants of D-Ribulose-1,5-bisphosphate Carboxylase/Oxygenase Reflect Differences in Their Catalytic Mechanisms | 2007 | W1972122447 | |
| doi:10.1093/jxb/ern091 | Catalysis and regulation in Rubisco | 2007 | W2156766105 | |
| doi:10.1117/1.2819119 | Pattern Recognition and Machine Learning | 2007 | W1663973292 | |
| doi:10.1186/1471-2148-7-73 | Widespread positive selection in the photosynthetic Rubisco enzyme | 2007 | W2166558990 | |
| doi:10.1371/journal.pone.0000468 | Conformational Proofreading: The Impact of Conformational Changes on the Specificity of Molecular Recognition | 2007 | W2086642544 | |
| doi:10.1001/archopht.124.1.142 | In the Blink of an Eye: How Vision Sparked the Big Bang of Evolution | 2006 | W651564569 | |
| doi:10.1073/pnas.0600605103 | Despite slow catalysis and confused substrate specificity, all ribulose bisphosphate carboxylases may be nearly perfectly optimized | 2006 | W2066485538 | |
| doi:10.1109/tnn.2004.842673 | Reinforcement Learning: An Introduction | 2005 | W2121863487 | |
| doi:10.1007/s00220-004-1222-4 | Primes in short intervals | 2004 | math/0409258 | |
| doi:10.1016/s0076-6879(04)88004-2 | SCHEMA-Guided Protein Recombination | 2004 | W76498526 | |
| doi:10.1023/a:1020467601966 | Along the trail from Fraction I protein to Rubisco (ribulose bisphosphate carboxylase-oxygenase) | 2002 | W2096335333 | |
| doi:10.1146/annurev.arplant.53.100301.135233 | R UBISCO : Structure, Regulatory Interactions, and Possibilities for a Better Enzyme | 2002 | W2125073348 | |
| doi:10.2138/gsrmg.43.1.225 | Fractionation of Carbon and Hydrogen Isotopes in Biosynthetic Processes | 2001 | W2085199314 | |
| doi:10.1162/1532443041827907 | 10.1162/1532443041827907 | 2000 | W2130005627 | |
| doi:10.1007/978-1-4615-5529-2 | Learning to Learn | 1998 | W99485931 | |
| doi:10.1021/cr970010r | Mechanism of Rubisco: The Carbamate as General Base | 1998 | W2039132912 | |
| doi:10.1093/jxb/46.special_issue.1269 | Engineering Rubisco to change its catalytic properties | 1995 | W2002192593 | |
| doi:10.1145/203330.203343 | Temporal difference learning and TD-Gammon | 1995 | W2131600418 | |
| doi:10.1006/abbi.1994.1301 | High Substrate Specificity Factor Ribulose Bisphosphate Carboxylase/Oxygenase from Eukaryotic Marine Algae and Properties of Recombinant Cyanobacterial Rubisco Containing "Algal" Residue Modifications | 1994 | W2109162037 | |
| doi:10.1146/annurev.bb.21.060192.001003 | Rubisco: Structure and Mechanism | 1992 | W2177063823 | |
| doi:10.1007/978-1-4757-5945-7 | Natural Language Generation in Artificial Intelligence and Computational Linguistics | 1991 | W1546928450 | |
| doi:10.1071/pp9910287 | Determination of the Average Partial Pressure of CO2 in Chloroplasts From Leaves of Several C3 Plants | 1991 | W2138086920 | |
| doi:10.1093/jxb/40.3.317 | Variation in the Specificity Factor of C3Higher Plant Rubiscos Determined by the Total Consumption of Ribulose-P2 | 1989 | W1984185158 | |
| doi:10.1016/b978-0-12-675410-0.50009-9 | Rubisco: Structure, Mechanisms, and Prospects for Improvement | 1987 | W1585173024 | |
| doi:10.1109/mcs.1987.1105260 | 1987 american control conference | 1987 | W2542498933 | |
| doi:10.1021/bi00355a029 | Kinetic mechanism of ribulosebisphosphate carboxylase: evidence for an ordered, sequential reaction | 1986 | W1969073425 | |
| doi:10.1071/pp9860281 | Carbon Isotope Discrimination measured Concurrently with Gas Exchange to Investigate CO2 Diffusion in Leaves of Higher Plants | 1986 | W2312565527 | |
| doi:10.1038/291513a0 | Species variation in the specificity of ribulose biphosphate carboxylase/oxygenase | 1981 | W2028693962 | |
| openalex:W4237570906 | Corrigenda | 1976 | W4237570906 | |
| doi:10.1073/pnas.71.10.4135 | Kinetic Proofreading: A New Mechanism for Reducing Errors in Biosynthetic Processes Requiring High Specificity | 1974 | W2074616759 | |
| doi:10.1017/cbo9781139171434 | Criticism and the Growth of Knowledge | 1970 | W4231992040 | |
| arxiv:2201.03916 | Automated Reinforcement Learning (AutoRL): A Survey and Open Problems | 2201.03916 | ||
| arxiv:2501.12948 | Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning | 2501.12948 | ||
| arxiv:2502.18449 | Swe-rl: Advancing llm reasoning via reinforcement learning on open software evolution | 2502.18449 | ||
| arxiv:2504.09702 | Mlrc-bench: Can language agents solve machine learning research challenges? | 2504.09702 | ||
| arxiv:2507.14705 | Configurable multi-agent framework for scalable and realistic testing of llm-based agents | 2507.14705 | ||
| arxiv:2508.02744 | Large language model-based data science agent: A survey | 2508.02744 | ||
| arxiv:2508.05002 | Agenticdata: An agentic data analytics system for heterogeneous data | 2508.05002 | ||
| arxiv:2510.23587 | A survey of data agents: Emerging paradigm or overstated hype? | 2510.23587 | ||
| arxiv:2510.26144 | The fm agent | 2510.26144 | ||
| openalex:W3100609281 | (untitled in OpenAlex) | W3100609281 |