{"total":26,"rows":[{"id":"2503.01807","title":"Large-Scale Data Selection for Instruction Tuning","created":"2025-03-03","cited_by_count":35,"area":null},{"id":"2408.15545","title":"SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding","created":"2024-08-28","cited_by_count":29,"area":null},{"id":"2509.04484","title":"The Good, the Bad and the Constructive: Automatically Measuring Peer Review's Utility for Authors","created":"2025-08-31","cited_by_count":16,"area":null},{"id":"2505.19051","title":"Efficient Data Selection at Scale via Influence Distillation","created":"2025-05-25","cited_by_count":15,"area":null},{"id":"2507.13300","title":"AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research","created":"2025-07-17","cited_by_count":13,"area":null},{"id":"2605.01640","title":"Prescriptive Scaling Laws for Data Constrained Training","created":"2026-05-02","cited_by_count":12,"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":"2410.12937","title":"Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging","created":"2024-10-16","cited_by_count":7,"area":null},{"id":"2601.21257","title":"MoCo: A One-Stop Shop for Model Collaboration Research","created":"2026-01-29","cited_by_count":6,"area":null},{"id":"2510.24891","title":"Idea2Plan: Exploring AI-Powered Research Planning","created":"2025-10-28","cited_by_count":4,"area":null},{"id":"2506.07833","title":"Improving Large Language Models with Concept-Aware Fine-Tuning","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2506.21625","title":"Doc2SAR: A Synergistic Framework for High-Fidelity Extraction of Structure-Activity Relationships from Scientific Documents","created":"2025-06-24","cited_by_count":2,"area":null},{"id":"2510.17263","title":"TaxoAlign: Scholarly Taxonomy Generation Using Language Models","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2603.12249","title":"SciMDR: Advancing Scientific Multimodal Document Reasoning","created":"2026-03-12","cited_by_count":2,"area":null},{"id":"2606.07812","title":"Scaling Participation in Modular AI Systems","created":"2026-06-05","cited_by_count":2,"area":null},{"id":"2511.17161","title":"The PLLuM Instruction Corpus","created":"2025-11-21","cited_by_count":1,"area":null},{"id":"2603.16073","title":"ClaimFlow: Tracing the Evolution of Scientific Claims in NLP","created":"2026-03-17","cited_by_count":1,"area":null},{"id":"2604.01965","title":"Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models","created":"2026-04-02","cited_by_count":1,"area":null},{"id":"2610.03073","title":"SecJev: Bringing Security Expertise to System One Decision Models","created":"2026-10-02","cited_by_count":1,"area":null},{"id":"2601.13995","title":"From Tags to Trees: Structuring Fine-Grained Knowledge for Controllable Data Selection in LLM Instruction Tuning","created":"2026-01-20","cited_by_count":0,"area":null},{"id":"2604.10990","title":"When Verification Fails: How Compositionally Infeasible Claims Escape Rejection","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.19357","title":"SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.21359","title":"Does Finetuning with Scientific Data Increase Hallucinations? A Multi-domain Factuality Evaluation of LLMs","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2607.01104","title":"CausalMix: Data Mixture as Causal Inference for Language Model Training","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2610.17018","title":"LLM Evaluation is a Forecasting Problem","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.20456","title":"The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}