{"total":121,"rows":[{"id":"2410.21276","title":"GPT-4o System Card","created":"2024-10-25","cited_by_count":4588,"area":null},{"id":"2109.07958","title":"TruthfulQA: Measuring How Models Mimic Human Falsehoods","created":"2021-09-08","cited_by_count":2975,"area":null},{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576,"area":null},{"id":"2112.04359","title":"Ethical and social risks of harm from Language Models","created":"2021-12-08","cited_by_count":966,"area":null},{"id":"2306.16388","title":"Towards Measuring the Representation of Subjective Global Opinions in Language Models","created":"2023-06-28","cited_by_count":437,"area":null},{"id":"2311.10723","title":"Large Language Models in Finance: A Survey","created":"2023-09-28","cited_by_count":226,"area":null},{"id":"2105.04054","title":"Societal Biases in Language Generation: Progress and Challenges","created":"2021-05-10","cited_by_count":202,"area":null},{"id":"2309.09400","title":"CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages","created":"2023-09-17","cited_by_count":174,"area":null},{"id":"2103.14659","title":"Alignment of Language Agents","created":"2021-03-26","cited_by_count":168,"area":null},{"id":"2305.14930","title":"In-Context Impersonation Reveals Large Language Models' Strengths and Biases","created":"2023-05-24","cited_by_count":155,"area":null},{"id":"2302.08500","title":"Auditing large language models: a three-layered approach","created":"2023-02-16","cited_by_count":137,"area":null},{"id":"2206.07550","title":"Evaluating and Inducing Personality in Pre-trained Language Models","created":"2022-05-20","cited_by_count":123,"area":null},{"id":"2306.10070","title":"Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health","created":"2023-06-15","cited_by_count":118,"area":null},{"id":"2203.07785","title":"The Ghost in the Machine has an American accent: value conflict in GPT-3","created":"2022-03-15","cited_by_count":105,"area":null},{"id":"2212.01020","title":"Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation","created":"2022-12-02","cited_by_count":99,"area":null},{"id":"2210.15157","title":"Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language","created":"2022-10-27","cited_by_count":82,"area":null},{"id":"2310.06271","title":"Towards Mitigating Hallucination in Large Language Models via Self-Reflection","created":"2023-10-10","cited_by_count":81,"area":null},{"id":"2109.04650","title":"What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers","created":"2021-09-10","cited_by_count":76,"area":null},{"id":"2403.06412","title":"CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean","created":"2024-03-11","cited_by_count":66,"area":null},{"id":"2402.18225","title":"CogBench: a large language model walks into a psychology lab","created":"2024-02-28","cited_by_count":63,"area":null},{"id":"2406.13415","title":"Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators","created":"2024-06-19","cited_by_count":61,"area":null},{"id":"2409.11360","title":"AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances","created":"2024-09-17","cited_by_count":60,"area":null},{"id":"2304.00008","title":"On the Creativity of Large Language Models","created":"2023-03-27","cited_by_count":57,"area":null},{"id":"2303.09136","title":"A Short Survey of Viewing Large Language Models in Legal Aspect","created":"2023-03-16","cited_by_count":52,"area":null},{"id":"2106.07258","title":"GitTables: A Large-Scale Corpus of Relational Tables","created":"2021-06-14","cited_by_count":45,"area":null},{"id":"2410.21306","title":"Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges","created":"2024-10-25","cited_by_count":42,"area":null},{"id":"2307.10236","title":"Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models","created":"2023-07-16","cited_by_count":41,"area":null},{"id":"2402.01103","title":"Compositional Generative Modeling: A Single Model is Not All You Need","created":"2024-02-02","cited_by_count":41,"area":null},{"id":"2110.08300","title":"The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail","created":"2021-10-15","cited_by_count":38,"area":null},{"id":"2311.08993","title":"When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks","created":"2023-11-15","cited_by_count":37,"area":null},{"id":"2305.08005","title":"Beyond the Safeguards: Exploring the Security Risks of ChatGPT","created":"2023-05-13","cited_by_count":36,"area":null},{"id":"2509.16679","title":"Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle","created":"2025-09-20","cited_by_count":35,"area":null},{"id":"2204.08491","title":"Active Learning Helps Pretrained Models Learn the Intended Task","created":"2022-04-18","cited_by_count":33,"area":null},{"id":"2311.08089","title":"Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment","created":"2023-11-14","cited_by_count":33,"area":null},{"id":"2407.18369","title":"AI Safety in Generative AI Large Language Models: A Survey","created":"2024-07-06","cited_by_count":33,"area":null},{"id":"2210.03821","title":"Large Language Models can Implement Policy Iteration","created":"2022-10-07","cited_by_count":31,"area":null},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2212.10711","title":"Task Ambiguity in Humans and Language Models","created":"2022-12-20","cited_by_count":28,"area":null},{"id":"2308.10462","title":"Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models","created":"2023-08-21","cited_by_count":28,"area":null},{"id":"2310.15264","title":"Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey","created":"2023-10-23","cited_by_count":28,"area":null},{"id":"2212.10529","title":"Evaluating Psychological Safety of Large Language Models","created":"2022-12-20","cited_by_count":26,"area":null},{"id":"2401.06774","title":"Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data","created":"2023-12-09","cited_by_count":26,"area":null},{"id":"2312.09993","title":"LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language","created":"2023-12-15","cited_by_count":25,"area":null},{"id":"2311.09627","title":"Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination","created":"2023-11-16","cited_by_count":23,"area":null},{"id":"2311.12997","title":"Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks","created":"2023-11-21","cited_by_count":22,"area":null},{"id":"2408.03541","title":"EXAONE 3.0 7.8B Instruction Tuned Language Model","created":"2024-08-07","cited_by_count":21,"area":null},{"id":"2308.07120","title":"Position: Key Claims in LLM Research Have a Long Tail of Footnotes","created":"2023-08-14","cited_by_count":20,"area":null},{"id":"2308.04624","title":"Benchmarking LLM powered Chatbots: Methods and Metrics","created":"2023-08-08","cited_by_count":19,"area":null},{"id":"2403.04667","title":"The Social Impact of Generative AI: An Analysis on ChatGPT","created":"2024-03-07","cited_by_count":18,"area":null},{"id":"2308.03740","title":"A Cost Analysis of Generative Language Models and Influence Operations","created":"2023-08-07","cited_by_count":17,"area":null},{"id":"2401.01519","title":"Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review","created":"2024-01-03","cited_by_count":17,"area":null},{"id":"2503.05346","title":"AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications","created":"2025-03-07","cited_by_count":17,"area":null},{"id":"2310.04963","title":"LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation","created":"2023-10-08","cited_by_count":15,"area":null},{"id":"2110.03111","title":"Cut the CARP: Fishing for zero-shot story evaluation","created":"2021-10-06","cited_by_count":14,"area":null},{"id":"2401.04883","title":"Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations","created":"2024-01-10","cited_by_count":14,"area":null},{"id":"2306.05052","title":"Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models","created":"2023-06-08","cited_by_count":13,"area":null},{"id":"2409.11733","title":"Human-like Affective Cognition in Foundation Models","created":"2024-09-18","cited_by_count":13,"area":null},{"id":"2310.02842","title":"Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation","created":"2023-10-04","cited_by_count":12,"area":null},{"id":"2311.11415","title":"A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models","created":"2023-11-19","cited_by_count":12,"area":null},{"id":"2306.14062","title":"On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions","created":"2023-06-24","cited_by_count":11,"area":null},{"id":"2406.17624","title":"Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models","created":"2024-06-25","cited_by_count":11,"area":null},{"id":"2407.11549","title":"How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models","created":"2024-07-16","cited_by_count":9,"area":null},{"id":"2310.06167","title":"Predictable Artificial Intelligence","created":"2023-10-09","cited_by_count":8,"area":null},{"id":"2311.13852","title":"A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression","created":"2023-11-23","cited_by_count":8,"area":null},{"id":"2209.08966","title":"Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction","created":"2022-09-19","cited_by_count":7,"area":null},{"id":"2304.14456","title":"Framing the News:From Human Perception to Large Language Model Inferences","created":"2023-04-27","cited_by_count":7,"area":null},{"id":"2306.06800","title":"AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing","created":"2023-06-11","cited_by_count":7,"area":null},{"id":"2406.06559","title":"Harnessing Business and Media Insights with Large Language Models","created":"2024-06-02","cited_by_count":7,"area":null},{"id":"2507.05123","title":"An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques","created":"2025-07-07","cited_by_count":7,"area":null},{"id":"2304.00457","title":"LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models","created":"2023-04-02","cited_by_count":6,"area":null},{"id":"2305.07882","title":"Dual Use Concerns of Generative AI and Large Language Models","created":"2023-05-13","cited_by_count":6,"area":null},{"id":"2404.00990","title":"Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey","created":"2024-04-01","cited_by_count":6,"area":null},{"id":"2405.11612","title":"Sociotechnical Implications of Generative Artificial Intelligence for Information Access","created":"2024-05-19","cited_by_count":6,"area":null},{"id":"2305.00048","title":"Verification against in-situ observations for Data-Driven Weather Prediction","created":"2023-04-28","cited_by_count":5,"area":null},{"id":"2308.09720","title":"On the Unexpected Abilities of Large Language Models","created":"2023-08-09","cited_by_count":5,"area":null},{"id":"2110.12949","title":"Persona Authentication through Generative Dialogue","created":"2021-10-25","cited_by_count":4,"area":null},{"id":"2403.04224","title":"Aligners: Decoupling LLMs and Alignment","created":"2024-03-07","cited_by_count":4,"area":null},{"id":"2404.15166","title":"Pixels and Predictions: Potential of GPT-4V in Meteorological Imagery Analysis and Forecast Communication","created":"2024-04-22","cited_by_count":4,"area":null},{"id":"2410.10852","title":"SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance","created":"2024-10-06","cited_by_count":4,"area":null},{"id":"2511.05613","title":"Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations","created":"2025-11-06","cited_by_count":4,"area":null},{"id":"2212.08967","title":"Foundation models in brief: A historical, socio-technical focus","created":"2022-12-17","cited_by_count":3,"area":null},{"id":"2311.00382","title":"Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?","created":"2023-11-01","cited_by_count":3,"area":null},{"id":"2312.14345","title":"Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs","created":"2023-12-22","cited_by_count":3,"area":null},{"id":"2406.07685","title":"Test-Time Fairness and Robustness in Large Language Models","created":"2024-06-11","cited_by_count":3,"area":null},{"id":"2407.09311","title":"Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis","created":"2024-07-12","cited_by_count":3,"area":null},{"id":"2411.14457","title":"Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models","created":"2024-11-15","cited_by_count":3,"area":null},{"id":"2507.07787","title":"Measuring AI Alignment with Human Flourishing","created":"2025-07-10","cited_by_count":3,"area":null},{"id":"2312.02998","title":"Personality of AI","created":"2023-12-03","cited_by_count":2,"area":null},{"id":"2401.17858","title":"Probing Language Models' Gesture Understanding for Enhanced Human-AI Interaction","created":"2024-01-31","cited_by_count":2,"area":null},{"id":"2408.12806","title":"Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks","created":"2024-08-23","cited_by_count":2,"area":null},{"id":"2412.07430","title":"Knowledge Graph Guided Evaluation of Abstention Techniques","created":"2024-12-10","cited_by_count":2,"area":null},{"id":"2501.03840","title":"Machine learning applications in archaeological practices: a review","created":"2025-01-07","cited_by_count":2,"area":null},{"id":"2605.06901","title":"Reflections and New Directions for Human-Centered Large Language Models","created":"2026-05-07","cited_by_count":2,"area":null},{"id":"2112.07041","title":"Survey of Generative Methods for Social Media Analysis","created":"2021-12-13","cited_by_count":1,"area":null},{"id":"2212.12633","title":"Inclusive Artificial Intelligence","created":"2022-12-24","cited_by_count":1,"area":null},{"id":"2305.07230","title":"When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust","created":"2023-05-12","cited_by_count":1,"area":null},{"id":"2308.12272","title":"Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models","created":"2023-08-23","cited_by_count":1,"area":null},{"id":"2309.12732","title":"OpenAi's GPT4 as coding assistant","created":"2023-09-22","cited_by_count":1,"area":null},{"id":"2402.03607","title":"Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning","created":"2024-02-06","cited_by_count":1,"area":null},{"id":"2503.00309","title":"Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM","created":"2025-03-01","cited_by_count":1,"area":null}],"next_cursor":"100"}