{"total":23,"rows":[{"id":"2606.19544","title":"Reliability without Validity: A Systematic, Large-Scale Evaluation of LLM-as-a-Judge Models Across Agreement, Consistency, and Bias","created":"2026-06-17","cited_by_count":28,"area":null},{"id":"2604.11581","title":"Hidden Measurement Error in LLM Pipelines Distorts Annotation, Evaluation, and Benchmarking","created":"2026-04-13","cited_by_count":10,"area":null},{"id":"2604.10925","title":"From Words to Widgets for Controllable LLM Generation","created":"2026-04-13","cited_by_count":5,"area":null},{"id":"2604.05593","title":"Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge","created":"2026-04-07","cited_by_count":3,"area":null},{"id":"2607.13347","title":"LLM-as-a-Judge Scores Are Unreliable Optimization Signals in Closed-Loop Table Recognition","created":"2026-07-15","cited_by_count":3,"area":null},{"id":"2605.12199","title":"Overtrained, Not Misaligned","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2606.11643","title":"Improving Cross-Format Robustness in Language Models with Multi-Format Training","created":"2026-06-10","cited_by_count":2,"area":null},{"id":"2608.19893","title":"Interrupting the Loop: Periodic Subject Changes Raise Judged Surprise and Connection in Base Language Models","created":"2026-08-20","cited_by_count":2,"area":null},{"id":"2601.05114","title":"Evaluative Fingerprints: Stable and Systematic Differences in LLM Evaluator Behavior","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2601.11783","title":"The Stability Trap: Evaluating the Reliability of LLM-Based Instruction Adherence Auditing","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2602.18351","title":"Validating Political Position Predictions of Arguments","created":"2026-02-20","cited_by_count":1,"area":null},{"id":"2603.26728","title":"SEAR: Schema-Based Evaluation and Routing for LLM Gateways","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2605.24981","title":"Large Language Model Selection with Limited Annotations","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2605.31381","title":"LLM Judges Inconsistently Disagree Across Safety Criteria and Harm Categories","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2607.10380","title":"CAFE: A Compound-AI Factorial Evaluation Framework","created":"2026-07-11","cited_by_count":1,"area":null},{"id":"2603.01243","title":"Suffix-Constrained Greedy Search Algorithms for Causal Language Models","created":"2026-03-01","cited_by_count":0,"area":null},{"id":"2604.14345","title":"PAC-CF: Calibrating Irreversible Frontier Pruning in LLM-Guided Search","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2605.23420","title":"Naturalistic measure of social norms alignment","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2606.16659","title":"FraudSMSWalker: Benchmarking Agentic Large Language Models for SMS-to-Webpage Fraud Detection","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2607.14673","title":"Project Kaleidoscope: Contextual, Human-Aligned Evaluation for Real-World AI Applications","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2608.17644","title":"LLM-Derived Preference Judgments Are Not Self-Consistent","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2609.04198","title":"Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2610.19992","title":"SoK: Grading Open-Text Legal Answers, from Law School Exams to Trustworthy Rubric Judges","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}