{"total":61,"rows":[{"id":"2411.16594","title":"From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge","created":"2024-11-25","cited_by_count":494,"area":null},{"id":"2406.18403","title":"LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks","created":"2024-06-26","cited_by_count":243,"area":null},{"id":"2310.19736","title":"Evaluating Large Language Models: A Comprehensive Survey","created":"2023-10-30","cited_by_count":202,"area":null},{"id":"2402.14016","title":"Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment","created":"2024-02-21","cited_by_count":126,"area":null},{"id":"2305.14239","title":"On Learning to Summarize with Large Language Models as References","created":"2023-05-23","cited_by_count":80,"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":"2404.03602","title":"Evaluating LLMs at Detecting Errors in LLM Responses","created":"2024-04-04","cited_by_count":50,"area":null},{"id":"2408.08781","title":"Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions","created":"2024-08-16","cited_by_count":34,"area":null},{"id":"2305.13246","title":"Interactive Natural Language Processing","created":"2023-05-22","cited_by_count":31,"area":null},{"id":"2401.02458","title":"Data-Centric Foundation Models in Computational Healthcare: A Survey","created":"2024-01-04","cited_by_count":27,"area":null},{"id":"2506.11094","title":"The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs","created":"2025-06-06","cited_by_count":26,"area":null},{"id":"2403.00393","title":"TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs","created":"2024-03-01","cited_by_count":24,"area":null},{"id":"2406.05392","title":"Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey","created":"2024-06-08","cited_by_count":23,"area":null},{"id":"2410.05193","title":"RevisEval: Improving LLM-as-a-Judge via Response-Adapted References","created":"2024-10-07","cited_by_count":20,"area":null},{"id":"2504.17309","title":"CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality","created":"2025-04-24","cited_by_count":19,"area":null},{"id":"2402.11111","title":"Language Models as Science Tutors","created":"2024-02-16","cited_by_count":17,"area":null},{"id":"2408.14622","title":"What Makes a Good Story and How Can We Measure It? A Comprehensive Survey of Story Evaluation","created":"2024-08-26","cited_by_count":17,"area":null},{"id":"2402.11683","title":"One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation","created":"2024-02-18","cited_by_count":16,"area":null},{"id":"2306.13041","title":"Towards Explainable Evaluation Metrics for Machine Translation","created":"2023-06-22","cited_by_count":15,"area":null},{"id":"2404.01667","title":"METAL: Towards Multilingual Meta-Evaluation","created":"2024-04-02","cited_by_count":15,"area":null},{"id":"2402.14261","title":"Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming","created":"2024-02-22","cited_by_count":13,"area":null},{"id":"2305.14770","title":"Using Natural Language Explanations to Rescale Human Judgments","created":"2023-05-24","cited_by_count":11,"area":null},{"id":"2506.05947","title":"IntentionESC: An Intention-Centered Framework for Enhancing Emotional Support in Dialogue Systems","created":"2025-06-06","cited_by_count":11,"area":null},{"id":"2404.10155","title":"The Fault in our Stars: Quality Assessment of Code Generation Benchmarks","created":"2024-04-15","cited_by_count":9,"area":null},{"id":"2502.09994","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","created":"2025-02-14","cited_by_count":9,"area":null},{"id":"2503.17755","title":"Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes","created":"2025-03-22","cited_by_count":9,"area":null},{"id":"2410.04838","title":"Rationale-Aware Answer Verification by Pairwise Self-Evaluation","created":"2024-10-07","cited_by_count":8,"area":null},{"id":"2503.11827","title":"Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring","created":"2025-03-14","cited_by_count":7,"area":null},{"id":"2412.05145","title":"Explingo: Explaining AI Predictions using Large Language Models","created":"2024-12-06","cited_by_count":6,"area":null},{"id":"2502.08888","title":"LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information","created":"2025-02-13","cited_by_count":6,"area":null},{"id":"2504.05736","title":"Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring","created":"2025-04-08","cited_by_count":6,"area":null},{"id":"2510.04899","title":"Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding","created":"2025-10-06","cited_by_count":6,"area":null},{"id":"2410.20763","title":"Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts","created":"2024-10-28","cited_by_count":5,"area":null},{"id":"2502.13031","title":"HPSS: Heuristic Prompting Strategy Search for LLM Evaluators","created":"2025-02-18","cited_by_count":5,"area":null},{"id":"2508.11779","title":"A Multi-Task Evaluation of LLMs' Processing of Academic Text Input","created":"2025-08-15","cited_by_count":5,"area":null},{"id":"2512.12839","title":"What Matters in Evaluating Book-Length Stories? A Systematic Study of Long Story Evaluation","created":"2025-12-14","cited_by_count":5,"area":null},{"id":"2305.17819","title":"Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation","created":"2023-05-28","cited_by_count":4,"area":null},{"id":"2402.10137","title":"TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles","created":"2024-02-15","cited_by_count":4,"area":null},{"id":"2511.01014","title":"IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation","created":"2025-11-02","cited_by_count":4,"area":null},{"id":"2409.17581","title":"A Scalable Data-Driven Framework for Systematic Analysis of SEC 10-K Filings Using Large Language Models","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2508.15846","title":"CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation","created":"2025-08-19","cited_by_count":3,"area":null},{"id":"2502.13656","title":"Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models","created":"2025-02-19","cited_by_count":2,"area":null},{"id":"2504.03814","title":"Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?","created":"2025-04-04","cited_by_count":2,"area":null},{"id":"2506.02596","title":"EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2506.15925","title":"Reranking-based Generation for Unbiased Perspective Summarization","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2405.06003","title":"Binary Hypothesis Testing for Softmax Models and Leverage Score Models","created":"2024-05-09","cited_by_count":1,"area":null},{"id":"2504.07174","title":"HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation","created":"2025-04-09","cited_by_count":1,"area":null},{"id":"2505.12474","title":"What Are They Talking About? A Benchmark of Knowledge-Grounded Discussion Summarization","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2508.10161","title":"LaajMeter: A Framework for LaaJ Evaluation","created":"2025-08-13","cited_by_count":1,"area":null},{"id":"2509.18836","title":"Bounded PCTL Model Checking of Large Language Model Outputs","created":"2025-09-23","cited_by_count":1,"area":null},{"id":"2511.10855","title":"ExPairT-LLM: Exact Learning for LLM Code Selection by Pairwise Queries","created":"2025-11-13","cited_by_count":1,"area":null},{"id":"2511.16478","title":"Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation","created":"2025-11-20","cited_by_count":1,"area":null},{"id":"2407.15556","title":"SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning","created":"2024-07-22","cited_by_count":0,"area":null},{"id":"2409.07482","title":"VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis","created":"2024-09-03","cited_by_count":0,"area":null},{"id":"2503.04290","title":"How Do Hackathons Foster Creativity? Towards AI Collaborative Evaluation of Creativity at Scale","created":"2025-03-06","cited_by_count":0,"area":null},{"id":"2506.03580","title":"Automatically Suggesting Diverse Example Sentences for L2 Japanese Learners Using Pre-Trained Language Models","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2506.05950","title":"Elementary Math Word Problem Generation using Large Language Models","created":"2025-06-06","cited_by_count":0,"area":null},{"id":"2510.22219","title":"Estimating the Error of Large Language Models at Pairwise Text Comparison","created":"2025-10-25","cited_by_count":0,"area":null},{"id":"2604.17260","title":"Rethinking Meeting Effectiveness: A Benchmark and Framework for Temporal Fine-grained Automatic Meeting Effectiveness Evaluation","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2605.04305","title":"SWAN: Semantic Watermarking with Abstract Meaning Representation","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2608.04549","title":"EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks","created":"2026-08-05","cited_by_count":0,"area":null}],"next_cursor":null}