{"total":46,"rows":[{"id":"2307.03109","title":"A Survey on Evaluation of Large Language Models","created":"2023-07-06","cited_by_count":1242,"area":null},{"id":"2310.11440","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","created":"2023-10-17","cited_by_count":340,"area":null},{"id":"2309.04766","title":"SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning","created":"2023-09-09","cited_by_count":94,"area":null},{"id":"2401.14656","title":"Scientific Large Language Models: A Survey on Biological & Chemical Domains","created":"2024-01-26","cited_by_count":80,"area":null},{"id":"2309.09150","title":"Can Large Language Models Understand Real-World Complex Instructions?","created":"2023-09-17","cited_by_count":69,"area":null},{"id":"2402.09880","title":"Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence","created":"2024-02-15","cited_by_count":68,"area":null},{"id":"2307.15020","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","created":"2023-07-27","cited_by_count":50,"area":null},{"id":"2412.13670","title":"AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge","created":"2024-12-18","cited_by_count":44,"area":null},{"id":"2403.01976","title":"SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis","created":"2024-03-04","cited_by_count":41,"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":"2401.15641","title":"PRE: A Peer Review Based Large Language Model Evaluator","created":"2024-01-28","cited_by_count":28,"area":null},{"id":"2401.07301","title":"Small Language Model Can Self-correct","created":"2024-01-14","cited_by_count":23,"area":null},{"id":"2404.10315","title":"Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience","created":"2024-04-16","cited_by_count":21,"area":null},{"id":"2406.09098","title":"SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models","created":"2024-06-13","cited_by_count":19,"area":null},{"id":"2310.14424","title":"Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation","created":"2023-10-22","cited_by_count":18,"area":null},{"id":"2503.13503","title":"SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models","created":"2025-03-12","cited_by_count":15,"area":null},{"id":"2407.05365","title":"ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models","created":"2024-07-07","cited_by_count":13,"area":null},{"id":"2407.02301","title":"CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models","created":"2024-07-02","cited_by_count":12,"area":null},{"id":"2308.04823","title":"Evaluating the Generation Capabilities of Large Chinese Language Models","created":"2023-08-09","cited_by_count":11,"area":null},{"id":"2403.12316","title":"OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety","created":"2024-03-18","cited_by_count":9,"area":null},{"id":"2408.03281","title":"StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation","created":"2024-08-06","cited_by_count":9,"area":null},{"id":"2403.07825","title":"Efficiently Quantifying and Mitigating Ripple Effects in Model Editing","created":"2024-03-12","cited_by_count":6,"area":null},{"id":"2501.01652","title":"MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments","created":"2025-01-03","cited_by_count":6,"area":null},{"id":"2405.16552","title":"SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation","created":"2024-05-26","cited_by_count":5,"area":null},{"id":"2408.08892","title":"Leveraging Large Language Models for Enhanced Process Model Comprehension","created":"2024-08-08","cited_by_count":5,"area":null},{"id":"2412.06287","title":"PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models","created":"2024-12-09","cited_by_count":5,"area":null},{"id":"2406.12641","title":"DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2409.01787","title":"LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection","created":"2024-09-03","cited_by_count":4,"area":null},{"id":"2411.09255","title":"DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine","created":"2024-11-14","cited_by_count":4,"area":null},{"id":"2409.12746","title":"Bilingual Evaluation of Language Models on General Knowledge in University Entrance Exams with Minimal Contamination","created":"2024-09-19","cited_by_count":3,"area":null},{"id":"2505.15480","title":"KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2307.05113","title":"Piecing Together Clues: A Benchmark for Evaluating the Detective Skills of Large Language Models","created":"2023-07-11","cited_by_count":2,"area":null},{"id":"2404.18359","title":"FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models","created":"2024-04-29","cited_by_count":2,"area":null},{"id":"2503.10668","title":"Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2504.01369","title":"LITE: LLM-Impelled efficient Taxonomy Evaluation","created":"2025-04-02","cited_by_count":2,"area":null},{"id":"2408.13338","title":"LalaEval: A Holistic Human Evaluation Framework for Domain-Specific Large Language Models","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2508.04563","title":"SID: Benchmarking Guided Instruction Capabilities in STEM Education with a Socratic Interdisciplinary Dialogues Dataset","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2603.03322","title":"Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery","created":"2026-02-10","cited_by_count":1,"area":null},{"id":"2403.12601","title":"LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models","created":"2024-03-19","cited_by_count":0,"area":null},{"id":"2407.07531","title":"Beyond Benchmarking: A New Paradigm for Evaluation and Assessment of Large Language Models","created":"2024-07-10","cited_by_count":0,"area":null},{"id":"2407.12005","title":"VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It","created":"2024-06-15","cited_by_count":0,"area":null},{"id":"2411.06207","title":"KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models","created":"2024-11-09","cited_by_count":0,"area":null},{"id":"2504.00756","title":"RECKON: Large-scale Reference-based Efficient Knowledge Evaluation for Large Language Model","created":"2025-04-01","cited_by_count":0,"area":null},{"id":"2506.21567","title":"BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2604.08948","title":"TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2605.24414","title":"JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data","created":"2026-05-23","cited_by_count":0,"area":null}],"next_cursor":null}