{"total":24,"rows":[{"id":"2403.02901","title":"A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods","created":"2024-03-05","cited_by_count":102,"area":null},{"id":"2503.02450","title":"Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization","created":"2025-03-04","cited_by_count":45,"area":null},{"id":"2403.00025","title":"On the Challenges and Opportunities in Generative AI","created":"2024-02-28","cited_by_count":31,"area":null},{"id":"2504.01786","title":"BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing","created":"2025-04-02","cited_by_count":31,"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":"2412.18603","title":"Long-Form Speech Generation with Spoken Language Models","created":"2024-12-24","cited_by_count":19,"area":null},{"id":"2504.01001","title":"Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models","created":"2025-04-01","cited_by_count":14,"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":"2412.04937","title":"Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery Games","created":"2024-12-06","cited_by_count":7,"area":null},{"id":"2412.15557","title":"MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems","created":"2024-12-20","cited_by_count":7,"area":null},{"id":"2602.16610","title":"Who can we trust? LLM-as-a-jury for Comparative Assessment","created":"2026-02-18","cited_by_count":7,"area":null},{"id":"2411.14971","title":"Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation","created":"2024-11-22","cited_by_count":6,"area":null},{"id":"2508.07955","title":"Expert Preference-based Evaluation of Automated Related Work Generation","created":"2025-08-11","cited_by_count":6,"area":null},{"id":"2410.05824","title":"Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy","created":"2024-10-08","cited_by_count":5,"area":null},{"id":"2509.00285","title":"OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviews","created":"2025-08-30","cited_by_count":4,"area":null},{"id":"2411.05775","title":"Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?","created":"2024-11-08","cited_by_count":3,"area":null},{"id":"2506.14335","title":"References Matter: Investigating the Impact of Reference Set Variation on Summarization Evaluation","created":"2025-06-17","cited_by_count":2,"area":null},{"id":"2601.06225","title":"Classroom AI: Large Language Models as Grade-Specific Teachers","created":"2026-01-09","cited_by_count":2,"area":null},{"id":"2505.16349","title":"Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization","created":"2025-05-22","cited_by_count":1,"area":null},{"id":"2601.10406","title":"ErrEval: Error-Aware Evaluation for Question Generation through Explicit Diagnostics","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2506.18213","title":"A Conceptual Framework for AI Capability Evaluations","created":"2025-06-23","cited_by_count":0,"area":null},{"id":"2603.23520","title":"From Physician Expertise to Clinical Agents: Preserving, Standardizing, and Scaling Physicians' Medical Expertise with Lightweight LLM","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2608.22758","title":"XTC: Head-Aware Sampling by Excluding Top Choices","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.38406","title":"Evaluating Whether LLMs Can Reliably Connect the DOTs?","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}