{"total":52,"rows":[{"id":"2405.00208","title":"A Primer on the Inner Workings of Transformer-based Language Models","created":"2024-04-30","cited_by_count":85,"area":null},{"id":"2502.14127","title":"Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above","created":"2025-02-19","cited_by_count":52,"area":null},{"id":"2501.15463","title":"Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?","created":"2025-01-26","cited_by_count":51,"area":null},{"id":"2508.18076","title":"Neither Valid nor Reliable? Investigating the Use of LLMs as Judges","created":"2025-08-25","cited_by_count":39,"area":null},{"id":"2408.16629","title":"LLMs generate structurally realistic social networks but overestimate political homophily","created":"2024-08-29","cited_by_count":33,"area":null},{"id":"2405.06800","title":"LLM-Generated Black-box Explanations Can Be Adversarially Helpful","created":"2024-05-10","cited_by_count":21,"area":null},{"id":"2412.12386","title":"Interpretable LLM-based Table Question Answering","created":"2024-12-16","cited_by_count":18,"area":null},{"id":"2412.18004","title":"Correctness is not Faithfulness in RAG Attributions","created":"2024-12-23","cited_by_count":18,"area":null},{"id":"2507.10587","title":"Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing","created":"2025-07-11","cited_by_count":14,"area":null},{"id":"2407.00219","title":"Evaluating Human Alignment and Model Faithfulness of LLM Rationale","created":"2024-06-28","cited_by_count":12,"area":null},{"id":"2405.05386","title":"Interpretability Needs a New Paradigm","created":"2024-05-08","cited_by_count":11,"area":null},{"id":"2502.02719","title":"Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective","created":"2025-02-04","cited_by_count":11,"area":null},{"id":"2407.11004","title":"The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators","created":"2024-06-25","cited_by_count":10,"area":null},{"id":"2502.18156","title":"Can LLMs Explain Themselves Counterfactually?","created":"2025-02-25","cited_by_count":10,"area":null},{"id":"2504.06227","title":"LExT: Towards Evaluating Trustworthiness of Natural Language Explanations","created":"2025-04-08","cited_by_count":9,"area":null},{"id":"2503.23899","title":"Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset","created":"2025-03-31","cited_by_count":8,"area":null},{"id":"2509.18868","title":"Memory in Large Language Models: Mechanisms, Evaluation and Evolution","created":"2025-09-23","cited_by_count":8,"area":null},{"id":"2410.15268","title":"GraphNarrator: Generating Textual Explanations for Graph Neural Networks","created":"2024-10-20","cited_by_count":7,"area":null},{"id":"2506.13060","title":"Rethinking Explainability in the Era of Multimodal AI","created":"2025-06-16","cited_by_count":6,"area":null},{"id":"2510.06371","title":"OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA","created":"2025-10-07","cited_by_count":5,"area":null},{"id":"2407.12999","title":"Securing the Future of GenAI: Policy and Technology","created":"2024-05-21","cited_by_count":4,"area":null},{"id":"2505.21657","title":"Explaining Large Language Models with gSMILE","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2405.12910","title":"Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment","created":"2024-05-21","cited_by_count":3,"area":null},{"id":"2505.21342","title":"PEDANTIC: A Dataset for the Automatic Examination of Definiteness in Patent Claims","created":"2025-05-27","cited_by_count":3,"area":null},{"id":"2511.03070","title":"Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge","created":"2025-11-04","cited_by_count":3,"area":null},{"id":"2603.14003","title":"The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records","created":"2026-03-14","cited_by_count":3,"area":null},{"id":"2603.29112","title":"GISTBench: Evaluating LLM User Understanding via Evidence-Based Interest Verification","created":"2026-03-31","cited_by_count":3,"area":null},{"id":"2604.05083","title":"Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation","created":"2026-04-06","cited_by_count":3,"area":null},{"id":"2605.25052","title":"Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth","created":"2026-05-24","cited_by_count":3,"area":null},{"id":"2506.19113","title":"Argument-Based Consistency in Toxicity Explanations of LLMs","created":"2025-06-23","cited_by_count":2,"area":null},{"id":"2510.08120","title":"Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2511.04070","title":"T-FIX: Text-Based Explanations with Features Interpretable to eXperts","created":"2025-11-06","cited_by_count":2,"area":null},{"id":"2602.04003","title":"When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making","created":"2026-02-03","cited_by_count":2,"area":null},{"id":"2606.05972","title":"LLM Explainability with Counterfactual Chains and Causal Graphs","created":"2026-06-04","cited_by_count":2,"area":null},{"id":"2505.17855","title":"Explaining Sources of Uncertainty in Automated Fact-Checking","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2507.07421","title":"SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data","created":"2025-07-10","cited_by_count":1,"area":null},{"id":"2510.21884","title":"Support-Contra Asymmetry in LLM Explanations","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2511.20233","title":"REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2606.09470","title":"A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales","created":"2026-06-08","cited_by_count":1,"area":null},{"id":"2608.30980","title":"Evaluating and Improving LLM Self-Modeling","created":"2026-08-31","cited_by_count":1,"area":null},{"id":"2404.17000","title":"Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models","created":"2024-04-25","cited_by_count":0,"area":null},{"id":"2510.04031","title":"Does Using Counterfactual Help LLMs Explain Textual Importance in Classification?","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2511.04157","title":"Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2601.13122","title":"Responsible AI for General-Purpose Systems: Overview, Challenges, and A Path Forward","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2603.18752","title":"WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2606.21121","title":"Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2606.31616","title":"Scientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.09306","title":"Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2607.15957","title":"From Plausible to Actionable: A Position on LLM Self-Explanations","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2607.17621","title":"Mechanistic Attention Guidance for Agent Memory Refinement","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2607.21090","title":"Training Large Language Models for Self-Explanation Faithfulness","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2609.24895","title":"Human-LLM Deliberation as Interactive Proof: Conditions for Verifiability Without Transparency","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}