{"total":54,"rows":[{"id":"2504.14225","title":"Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale","created":"2025-04-19","cited_by_count":178,"area":null},{"id":"2310.12962","title":"An Emulator for Fine-Tuning Large Language Models using Small Language Models","created":"2023-10-19","cited_by_count":61,"area":null},{"id":"2310.13800","title":"Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks","created":"2023-10-20","cited_by_count":53,"area":null},{"id":"2306.06826","title":"When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset","created":"2023-06-12","cited_by_count":52,"area":null},{"id":"2304.07987","title":"Chinese Open Instruction Generalist: A Preliminary Release","created":"2023-04-17","cited_by_count":35,"area":null},{"id":"2406.19073","title":"AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries","created":"2024-06-27","cited_by_count":35,"area":null},{"id":"2502.11926","title":"BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages","created":"2025-02-17","cited_by_count":27,"area":null},{"id":"2403.07726","title":"SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes","created":"2024-03-12","cited_by_count":24,"area":null},{"id":"2406.06357","title":"MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows","created":"2024-06-10","cited_by_count":19,"area":null},{"id":"2502.19852","title":"ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments","created":"2025-02-27","cited_by_count":14,"area":null},{"id":"2503.10688","title":"CULEMO: Cultural Lenses on Emotion -- Benchmarking LLMs for Cross-Cultural Emotion Understanding","created":"2025-03-12","cited_by_count":14,"area":null},{"id":"2412.15993","title":"Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs","created":"2024-12-20","cited_by_count":11,"area":null},{"id":"2601.02933","title":"Pearmut: Human Evaluation of Translation Made Trivial","created":"2026-01-06","cited_by_count":11,"area":null},{"id":"2402.12431","title":"Understanding Fine-grained Distortions in Reports of Scientific Findings","created":"2024-02-19","cited_by_count":8,"area":null},{"id":"2301.01228","title":"DMOps: Data Management Operation and Recipes","created":"2023-01-02","cited_by_count":7,"area":null},{"id":"2311.12664","title":"The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change","created":"2023-11-21","cited_by_count":7,"area":null},{"id":"2510.23508","title":"M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset","created":"2025-10-27","cited_by_count":7,"area":null},{"id":"2307.02763","title":"Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships","created":"2023-07-06","cited_by_count":6,"area":null},{"id":"2308.06953","title":"Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation","created":"2023-08-14","cited_by_count":6,"area":null},{"id":"2411.07892","title":"Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus","created":"2024-11-12","cited_by_count":6,"area":null},{"id":"2501.13284","title":"Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols","created":"2025-01-23","cited_by_count":6,"area":null},{"id":"2505.12727","title":"What is Stigma Attributed to? A Theory-Grounded, Expert-Annotated Interview Corpus for Demystifying Mental-Health Stigma","created":"2025-05-19","cited_by_count":6,"area":null},{"id":"2510.05154","title":"Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs","created":"2025-10-02","cited_by_count":6,"area":null},{"id":"2404.13307","title":"Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions","created":"2024-04-20","cited_by_count":5,"area":null},{"id":"2310.16810","title":"Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals","created":"2023-10-25","cited_by_count":4,"area":null},{"id":"2311.09756","title":"StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning","created":"2023-11-16","cited_by_count":4,"area":null},{"id":"2403.04963","title":"An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment","created":"2024-03-08","cited_by_count":4,"area":null},{"id":"2503.03335","title":"iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News","created":"2025-03-05","cited_by_count":4,"area":null},{"id":"2505.20624","title":"POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2404.12933","title":"Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data","created":"2024-04-19","cited_by_count":3,"area":null},{"id":"2512.15925","title":"Social Story Frames: Contextual Reasoning about Narrative Intent and Reception","created":"2025-12-17","cited_by_count":3,"area":null},{"id":"2407.02028","title":"Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions","created":"2024-07-02","cited_by_count":2,"area":null},{"id":"2408.05977","title":"The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI","created":"2024-08-12","cited_by_count":2,"area":null},{"id":"2503.09701","title":"Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2509.26302","title":"QUARTZ : QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2511.08592","title":"The Collective Turing Test: Large Language Models Can Generate Realistic Multi-User Discussions","created":"2025-10-29","cited_by_count":2,"area":null},{"id":"2512.09066","title":"ORCA: Open-ended Response Correctness Assessment for Audio Question Answering","created":"2025-11-28","cited_by_count":2,"area":null},{"id":"2606.19468","title":"Characterizing Narrative Content in Web-scale LLM Pretraining Data","created":"2026-06-17","cited_by_count":2,"area":null},{"id":"2402.02864","title":"EEVEE: An Easy Annotation Tool for Natural Language Processing","created":"2024-02-05","cited_by_count":1,"area":null},{"id":"2407.17770","title":"BotEval: Facilitating Interactive Human Evaluation","created":"2024-07-25","cited_by_count":1,"area":null},{"id":"2411.18260","title":"MetaphorShare: A Dynamic Collaborative Repository of Open Metaphor Datasets","created":"2024-11-27","cited_by_count":1,"area":null},{"id":"2502.04797","title":"Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks","created":"2025-02-07","cited_by_count":1,"area":null},{"id":"2503.18253","title":"Enhancing Multi-Label Emotion Analysis and Corresponding Intensities for Ethiopian Languages","created":"2025-03-24","cited_by_count":1,"area":null},{"id":"2509.22940","title":"LLMs Behind the Scenes: Enabling Narrative Scene Illustration","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2309.02912","title":"On the Challenges of Building Datasets for Hate Speech Detection","created":"2023-09-06","cited_by_count":0,"area":null},{"id":"2310.13106","title":"Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model","created":"2023-10-19","cited_by_count":0,"area":null},{"id":"2506.16622","title":"Modeling Public Perceptions of Science in Media","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2507.05385","title":"EduCoder: An Open-Source Annotation System for Education Transcript Data","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2507.19117","title":"Objectifying the Subjective: Cognitive Biases in Topic Interpretations","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2509.25477","title":"The Rise of AfricaNLP: A Survey of Contributions, Contributors, Community Impact, and Bibliometric Analysis","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2510.16173","title":"In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2512.03214","title":"Identifying attributions of causality in political text","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2607.12383","title":"Beyond Binary Detection: A Multi-Dimensional Taxonomy of Cancer Misinformation on Reddit","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2609.27418","title":"EviStreams: Human-in-the-Loop AI Data Extraction for Systematic Reviews in Medicine","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}