{"total":70,"rows":[{"id":"2311.07911","title":"Instruction-Following Evaluation for Large Language Models","created":"2023-11-14","cited_by_count":1228,"area":null},{"id":"2405.14782","title":"Lessons from the Trenches on Reproducible Evaluation of Language Models","created":"2024-05-23","cited_by_count":179,"area":null},{"id":"2403.16950","title":"Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators","created":"2024-03-25","cited_by_count":149,"area":"alignment"},{"id":"2407.04069","title":"A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations","created":"2024-07-04","cited_by_count":85,"area":null},{"id":"2407.00908","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","created":"2024-07-01","cited_by_count":83,"area":null},{"id":"2402.01383","title":"LLM-based NLG Evaluation: Current Status and Challenges","created":"2024-02-02","cited_by_count":73,"area":null},{"id":"2311.09184","title":"Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization","created":"2023-11-15","cited_by_count":69,"area":null},{"id":"2402.19379","title":"Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy","created":"2024-02-29","cited_by_count":67,"area":null},{"id":"2406.11289","title":"A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models","created":"2024-06-17","cited_by_count":52,"area":null},{"id":"2409.02076","title":"LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs","created":"2024-09-03","cited_by_count":47,"area":null},{"id":"2406.15673","title":"Large Language Models have Intrinsic Self-Correction Ability","created":"2024-06-21","cited_by_count":46,"area":"lr"},{"id":"2311.09022","title":"Exploring the Potential of Large Language Models in Computational Argumentation","created":"2023-11-15","cited_by_count":42,"area":null},{"id":"2405.20267","title":"Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions","created":"2024-05-30","cited_by_count":42,"area":"agents"},{"id":"2403.02270","title":"FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction","created":"2024-03-04","cited_by_count":28,"area":null},{"id":"2401.15042","title":"PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models","created":"2024-01-26","cited_by_count":24,"area":null},{"id":"2407.10725","title":"CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses","created":"2024-07-15","cited_by_count":23,"area":null},{"id":"2408.00672","title":"ExpertAF: Expert Actionable Feedback from Video","created":"2024-08-01","cited_by_count":17,"area":null},{"id":"2405.09935","title":"DEBATE: Devil's Advocate-Based Assessment and Text Evaluation","created":"2024-05-16","cited_by_count":16,"area":null},{"id":"2404.01667","title":"METAL: Towards Multilingual Meta-Evaluation","created":"2024-04-02","cited_by_count":15,"area":null},{"id":"2401.08664","title":"Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges","created":"2023-12-27","cited_by_count":13,"area":null},{"id":"2603.00039","title":"CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation","created":"2026-02-09","cited_by_count":13,"area":null},{"id":"2411.07237","title":"Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries","created":"2024-11-11","cited_by_count":12,"area":null},{"id":"2406.09972","title":"A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization","created":"2024-06-14","cited_by_count":11,"area":null},{"id":"2503.13299","title":"A Survey on Transformer Context Extension: Approaches and Evaluation","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2403.06009","title":"Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations","created":"2024-03-09","cited_by_count":10,"area":null},{"id":"2504.07583","title":"Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering","created":"2025-04-10","cited_by_count":10,"area":null},{"id":"2306.12916","title":"Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation","created":"2023-06-22","cited_by_count":8,"area":null},{"id":"2405.05938","title":"DOLOMITES: Domain-Specific Long-Form Methodical Tasks","created":"2024-05-09","cited_by_count":8,"area":null},{"id":"2505.16330","title":"SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers","created":"2025-05-22","cited_by_count":8,"area":null},{"id":"2505.23799","title":"Estimating LLM Consistency: A User Baseline vs Surrogate Metrics","created":"2025-05-26","cited_by_count":8,"area":null},{"id":"2407.20906","title":"Automated Review Generation Method Based on Large Language Models","created":"2024-07-30","cited_by_count":7,"area":null},{"id":"2508.19221","title":"Evaluating the Evaluators: Are readability metrics good measures of readability?","created":"2025-08-26","cited_by_count":6,"area":null},{"id":"2601.18777","title":"PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation","created":"2026-01-26","cited_by_count":6,"area":"rag"},{"id":"2405.03845","title":"Self-Improving Customer Review Response Generation Based on LLMs","created":"2024-05-06","cited_by_count":5,"area":"synth"},{"id":"2405.12939","title":"Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models","created":"2024-05-21","cited_by_count":5,"area":"lr"},{"id":"2410.00362","title":"FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices","created":"2024-10-01","cited_by_count":5,"area":null},{"id":"2503.23730","title":"KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language","created":"2025-03-31","cited_by_count":5,"area":"mllm"},{"id":"2506.07032","title":"A Culturally-diverse Multilingual Multimodal Video Benchmark & Model","created":"2025-06-08","cited_by_count":5,"area":"mllm"},{"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":"2601.22548","title":"Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations","created":"2026-01-30","cited_by_count":5,"area":null},{"id":"2402.16713","title":"Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs","created":"2024-02-26","cited_by_count":4,"area":"agents"},{"id":"2406.10267","title":"Unused information in token probability distribution of generative LLM: improving LLM reading comprehension through calculation of expected values","created":"2024-06-11","cited_by_count":4,"area":null},{"id":"2410.13671","title":"HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings","created":"2024-10-17","cited_by_count":4,"area":"rag"},{"id":"2410.16834","title":"Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation","created":"2024-10-22","cited_by_count":4,"area":null},{"id":"2603.20003","title":"An Agentic Approach to Generating XAI-Narratives","created":"2026-03-20","cited_by_count":4,"area":"agents"},{"id":"2309.08960","title":"ODSum: New Benchmarks for Open Domain Multi-Document Summarization","created":"2023-09-16","cited_by_count":3,"area":null},{"id":"2407.00453","title":"PerSEval: Assessing Personalization in Text Summarizers","created":"2024-06-29","cited_by_count":3,"area":null},{"id":"2407.04969","title":"EVA-Score: Evaluating Abstractive Long-form Summarization on Informativeness through Extraction and Validation","created":"2024-07-06","cited_by_count":3,"area":null},{"id":"2411.17204","title":"Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks","created":"2024-11-26","cited_by_count":3,"area":null},{"id":"2412.19211","title":"Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining","created":"2024-12-26","cited_by_count":3,"area":null},{"id":"2504.19024","title":"KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation","created":"2025-04-26","cited_by_count":3,"area":"distill"},{"id":"2509.07177","title":"Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector","created":"2025-09-08","cited_by_count":3,"area":null},{"id":"2604.15302","title":"Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations","created":"2026-04-16","cited_by_count":3,"area":null},{"id":"2607.11889","title":"Scaling Point-in-Time Language Models: Enabling Economic Evaluation of Embeddings","created":"2026-04-24","cited_by_count":3,"area":null},{"id":"2406.02863","title":"LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation","created":"2024-06-05","cited_by_count":2,"area":null},{"id":"2409.19507","title":"A Critical Look at Meta-evaluating Summarisation Evaluation Metrics","created":"2024-09-29","cited_by_count":2,"area":null},{"id":"2412.02819","title":"CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels","created":"2024-12-03","cited_by_count":2,"area":null},{"id":"2502.20647","title":"Consistency Evaluation of News Article Summaries Generated by Large (and Small) Language Models","created":"2025-02-28","cited_by_count":2,"area":null},{"id":"2407.15428","title":"Decoding BACnet Packets: A Large Language Model Approach for Packet Interpretation","created":"2024-07-22","cited_by_count":1,"area":null},{"id":"2507.16974","title":"Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultural Domain","created":"2025-07-22","cited_by_count":1,"area":"synth"},{"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":"2511.00024","title":"Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2512.01896","title":"OPOR-Bench: Evaluating Large Language Models on Online Public Opinion Report Generation","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2512.01958","title":"Learned-Rule-Augmented Large Language Model Evaluators","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2512.13714","title":"AI-Powered Annotation Pipelines for Stabilizing Large Language Models: A Human-AI Synergy Approach","created":"2025-12-08","cited_by_count":0,"area":null},{"id":"2602.07673","title":"Blind to the Human Touch: Overlap Bias in LLM-Based Summary Evaluation","created":"2026-02-07","cited_by_count":0,"area":null},{"id":"2603.10570","title":"End-to-End Chatbot Evaluation with Adaptive Reasoning and Uncertainty Filtering","created":"2026-03-11","cited_by_count":0,"area":"lr"},{"id":"2606.07629","title":"Large Language Models Should Learn Personalized Rather Than Aggregated Human Preferences","created":"2026-05-30","cited_by_count":0,"area":"alignment"},{"id":"2607.03162","title":"APeB: Benchmarking Personalization Ability of Large Language Model Agents","created":"2026-07-03","cited_by_count":0,"area":"agents"},{"id":"2609.33221","title":"RMB: Reward Model Boosting Mitigates Reward Hacking","created":"2026-09-27","cited_by_count":0,"area":"alignment"}],"next_cursor":null}