{"total":20,"rows":[{"id":"2501.00274","title":"LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts","created":"2024-12-31","cited_by_count":87,"area":null},{"id":"2406.15583","title":"Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods","created":"2024-06-21","cited_by_count":23,"area":null},{"id":"2407.00994","title":"LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation","created":"2024-07-01","cited_by_count":23,"area":null},{"id":"2407.02351","title":"Generative Large Language Models in Automated Fact-Checking: A Survey","created":"2024-07-02","cited_by_count":19,"area":null},{"id":"2502.16820","title":"Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses","created":"2025-02-24","cited_by_count":18,"area":null},{"id":"2501.10860","title":"Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking","created":"2025-01-18","cited_by_count":12,"area":null},{"id":"2506.12538","title":"RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking","created":"2025-06-14","cited_by_count":9,"area":null},{"id":"2503.02328","title":"Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection","created":"2025-03-04","cited_by_count":7,"area":null},{"id":"2410.15308","title":"LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content","created":"2024-10-20","cited_by_count":6,"area":null},{"id":"2503.02737","title":"Large Language Models for Multilingual Previously Fact-Checked Claim Detection","created":"2025-03-04","cited_by_count":6,"area":null},{"id":"2406.01311","title":"FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs","created":"2024-06-03","cited_by_count":4,"area":null},{"id":"2410.09455","title":"VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language Inference","created":"2024-10-12","cited_by_count":1,"area":null},{"id":"2504.20668","title":"A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages","created":"2025-04-29","cited_by_count":1,"area":null},{"id":"2505.15050","title":"Entailed Opinion Matters: Improving the Fact-Checking Performance of Language Models by Relying on their Entailment Ability","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2410.16592","title":"ViMGuard: A Novel Multi-Modal System for Video Misinformation Guarding","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2503.08495","title":"Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2506.21745","title":"(Fact) Check Your Bias","created":"2025-06-26","cited_by_count":0,"area":null},{"id":"2512.00007","title":"Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2607.02900","title":"Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twitter","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2609.12678","title":"Detecting and Explaining Fake News Short Videos with Multimodal Content and Real-World Evidence","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}