{"total":45,"rows":[{"id":"2206.14576","title":"Using cognitive psychology to understand GPT-3","created":"2022-06-21","cited_by_count":398,"area":null},{"id":"2209.14338","title":"Who is GPT-3? An Exploration of Personality, Values and Demographics","created":"2022-09-28","cited_by_count":112,"area":null},{"id":"2310.08433","title":"A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing","created":"2023-10-12","cited_by_count":99,"area":null},{"id":"2306.00924","title":"Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker","created":"2023-06-01","cited_by_count":95,"area":null},{"id":"2402.13904","title":"Calibrating Large Language Models with Sample Consistency","created":"2024-02-21","cited_by_count":73,"area":null},{"id":"2305.09067","title":"SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting","created":"2023-05-15","cited_by_count":39,"area":null},{"id":"2407.14414","title":"System-1.x: Learning to Balance Fast and Slow Planning with Language Models","created":"2024-07-19","cited_by_count":35,"area":null},{"id":"2307.07699","title":"Leveraging Large Language Models to Generate Answer Set Programs","created":"2023-07-15","cited_by_count":33,"area":null},{"id":"2206.02928","title":"Neuro-Symbolic Procedural Planning with Commonsense Prompting","created":"2022-06-06","cited_by_count":28,"area":null},{"id":"2203.05227","title":"Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods","created":"2022-03-10","cited_by_count":27,"area":null},{"id":"2201.09680","title":"Relational Memory Augmented Language Models","created":"2022-01-24","cited_by_count":24,"area":null},{"id":"2307.04895","title":"Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer","created":"2023-07-10","cited_by_count":21,"area":null},{"id":"2309.00384","title":"BatchPrompt: Accomplish more with less","created":"2023-09-01","cited_by_count":16,"area":null},{"id":"2202.10745","title":"Improving Systematic Generalization Through Modularity and Augmentation","created":"2022-02-22","cited_by_count":13,"area":null},{"id":"2212.10029","title":"Do language models have coherent mental models of everyday things?","created":"2022-12-20","cited_by_count":13,"area":null},{"id":"2404.00614","title":"Learning to Plan for Language Modeling from Unlabeled Data","created":"2024-03-31","cited_by_count":12,"area":null},{"id":"2305.11130","title":"SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation","created":"2023-05-18","cited_by_count":11,"area":null},{"id":"2212.09939","title":"AnyTOD: A Programmable Task-Oriented Dialog System","created":"2022-12-20","cited_by_count":10,"area":null},{"id":"2411.04383","title":"Neuro-Symbolic AI: Explainability, Challenges, and Future Trends","created":"2024-11-07","cited_by_count":10,"area":null},{"id":"2210.06649","title":"Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network","created":"2022-10-13","cited_by_count":8,"area":null},{"id":"2407.08642","title":"Towards Building Specialized Generalist AI with System 1 and System 2 Fusion","created":"2024-07-11","cited_by_count":8,"area":null},{"id":"2407.18723","title":"LLASP: Fine-tuning Large Language Models for Answer Set Programming","created":"2024-07-26","cited_by_count":8,"area":null},{"id":"2212.10754","title":"CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding","created":"2022-12-21","cited_by_count":7,"area":null},{"id":"2403.04541","title":"Towards Automatic Composition of ASP Programs from Natural Language Specifications","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2406.09012","title":"Bayesian Statistical Modeling with Predictors from LLMs","created":"2024-06-13","cited_by_count":7,"area":null},{"id":"2210.07093","title":"Query Expansion Using Contextual Clue Sampling with Language Models","created":"2022-10-13","cited_by_count":5,"area":null},{"id":"2212.05093","title":"Plug-and-Play Recipe Generation with Content Planning","created":"2022-12-09","cited_by_count":5,"area":null},{"id":"2409.12300","title":"Autoformalization of Game Descriptions using Large Language Models","created":"2024-09-18","cited_by_count":5,"area":null},{"id":"2408.03630","title":"PAGED: A Benchmark for Procedural Graphs Extraction from Documents","created":"2024-08-07","cited_by_count":4,"area":null},{"id":"2403.13362","title":"Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts","created":"2024-03-20","cited_by_count":3,"area":null},{"id":"2109.12755","title":"Abstraction, Reasoning and Deep Learning: A Study of the \"Look and Say\" Sequence","created":"2021-09-27","cited_by_count":2,"area":null},{"id":"2208.11981","title":"On Reality and the Limits of Language Data: Aligning LLMs with Human Norms","created":"2022-08-25","cited_by_count":2,"area":null},{"id":"2305.19421","title":"Data and Knowledge for Overtaking Scenarios in Autonomous Driving","created":"2023-05-30","cited_by_count":2,"area":null},{"id":"2403.01954","title":"DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generation","created":"2024-03-04","cited_by_count":2,"area":null},{"id":"2410.14587","title":"Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets","created":"2024-10-18","cited_by_count":2,"area":null},{"id":"2302.08577","title":"For Generated Text, Is NLI-Neutral Text the Best Text?","created":"2023-02-16","cited_by_count":1,"area":null},{"id":"2303.07146","title":"NeuroQL: A Neuro-Symbolic Language and Dataset for Inter-Subjective Reasoning","created":"2023-03-13","cited_by_count":1,"area":null},{"id":"2409.00070","title":"Learning to Plan Long-Term for Language Modeling","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2506.01474","title":"Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2110.03105","title":"MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations","created":"2021-10-06","cited_by_count":0,"area":null},{"id":"2211.11956","title":"A Short Survey of Systematic Generalization","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2310.09772","title":"Rethinking Relation Classification with Graph Meaning Representations","created":"2023-10-15","cited_by_count":0,"area":null},{"id":"2604.22306","title":"BLAST: Benchmarking LLMs with ASP-based Structured Testing","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2606.24414","title":"Cycle-Consistent Neural Explanation of Formal Verification Certificates","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2608.29035","title":"EmoLASP: Emotion Recognition with Language Models and Answer Set Programming","created":"2026-08-29","cited_by_count":0,"area":null}],"next_cursor":null}