{"total":15,"rows":[{"id":"2405.09783","title":"LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery","created":"2024-05-16","cited_by_count":86,"area":"lr"},{"id":"2503.17604","title":"OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery","created":"2025-03-22","cited_by_count":20,"area":"lr"},{"id":"2310.14420","title":"Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design","created":"2023-10-22","cited_by_count":17,"area":"lr"},{"id":"2510.10248","title":"Reasoning-Enhanced Large Language Models for Molecular Property Prediction","created":"2025-10-11","cited_by_count":9,"area":"lr"},{"id":"2503.09620","title":"Exploiting Edited Large Language Models as General Scientific Optimizers","created":"2025-03-08","cited_by_count":7,"area":"lr"},{"id":"2510.07731","title":"oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning","created":"2025-10-09","cited_by_count":4,"area":"lr"},{"id":"2512.21231","title":"MiST: Understanding the Role of Mid-Stage Scientific Training in Developing Chemical Reasoning Models","created":"2025-12-24","cited_by_count":3,"area":"lr"},{"id":"2501.13397","title":"ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models","created":"2025-01-23","cited_by_count":2,"area":"lr"},{"id":"2511.15355","title":"HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning","created":"2025-11-19","cited_by_count":1,"area":"lr"},{"id":"2502.17986","title":"Thinking like a CHEMIST: Combined Heterogeneous Embedding Model Integrating Structure and Tokens","created":"2025-02-25","cited_by_count":0,"area":"lr"},{"id":"2510.01428","title":"BioVERSE: Representation Alignment of Biomedical Modalities to LLMs for Multi-Modal Reasoning","created":"2025-10-01","cited_by_count":0,"area":"lr"},{"id":"2605.29394","title":"EvoMD-LLM: Learning the Language of Species Evolution in Reactive Molecular Dynamics","created":"2026-05-28","cited_by_count":0,"area":"lr"},{"id":"2609.19491","title":"Efficiently Linking Unstructured Data for Multi-step Reasoning","created":"2026-09-16","cited_by_count":0,"area":"lr"},{"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":"2610.01947","title":"Latent JEPA: Abstract Future Prediction for Latent Reasoning in Chemistry","created":"2026-10-01","cited_by_count":0,"area":"lr"}],"next_cursor":null}