{"total":43,"rows":[{"id":"2305.16867","title":"Playing repeated games with Large Language Models","created":"2023-05-26","cited_by_count":217,"area":null},{"id":"2403.15371","title":"Can large language models explore in-context?","created":"2024-03-22","cited_by_count":76,"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":"2506.07918","title":"CausalPFN: Amortized Causal Effect Estimation via In-Context Learning","created":"2025-06-09","cited_by_count":49,"area":null},{"id":"2412.03782","title":"The broader spectrum of in-context learning","created":"2024-12-05","cited_by_count":35,"area":null},{"id":"2510.10981","title":"In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning","created":"2025-10-13","cited_by_count":22,"area":null},{"id":"2310.10266","title":"Generative Calibration for In-context Learning","created":"2023-10-16","cited_by_count":20,"area":null},{"id":"2505.13192","title":"True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics","created":"2025-05-19","cited_by_count":20,"area":null},{"id":"2407.16695","title":"Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack","created":"2024-07-23","cited_by_count":19,"area":null},{"id":"2406.03777","title":"Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices","created":"2024-06-06","cited_by_count":17,"area":null},{"id":"2405.17264","title":"On the Noise Robustness of In-Context Learning for Text Generation","created":"2024-05-27","cited_by_count":16,"area":null},{"id":"2506.02672","title":"EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving","created":"2025-06-03","cited_by_count":10,"area":null},{"id":"2412.06438","title":"Can foundation models actively gather information in interactive environments to test hypotheses?","created":"2024-12-09","cited_by_count":8,"area":null},{"id":"2502.00225","title":"Should You Use Your Large Language Model to Explore or Exploit?","created":"2025-01-31","cited_by_count":8,"area":null},{"id":"2310.00313","title":"Decoding In-Context Learning: Neuroscience-inspired Analysis of Representations in Large Language Models","created":"2023-09-30","cited_by_count":7,"area":null},{"id":"2312.00276","title":"Metalearning Continual Learning Algorithms","created":"2023-12-01","cited_by_count":7,"area":null},{"id":"2410.11711","title":"Zero-shot Model-based Reinforcement Learning using Large Language Models","created":"2024-10-15","cited_by_count":6,"area":null},{"id":"2402.01821","title":"Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks","created":"2024-02-02","cited_by_count":5,"area":null},{"id":"2403.16578","title":"SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging","created":"2024-03-25","cited_by_count":5,"area":null},{"id":"2311.14756","title":"Task-Distributionally Robust Data-Free Meta-Learning","created":"2023-11-23","cited_by_count":4,"area":null},{"id":"2501.05079","title":"Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization","created":"2025-01-09","cited_by_count":4,"area":null},{"id":"2505.15813","title":"Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2309.12727","title":"In-context Interference in Chat-based Large Language Models","created":"2023-09-22","cited_by_count":3,"area":null},{"id":"2410.08355","title":"Metalic: Meta-Learning In-Context with Protein Language Models","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2506.05393","title":"Are Large Language Models Good Temporal Graph Learners?","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2506.11812","title":"On the Performance of LLMs for Real Estate Appraisal","created":"2025-06-13","cited_by_count":3,"area":null},{"id":"2509.24923","title":"When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2510.26510","title":"LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection","created":"2025-10-30","cited_by_count":3,"area":null},{"id":"2308.11585","title":"Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes","created":"2023-08-19","cited_by_count":2,"area":null},{"id":"2602.01771","title":"<SOG_k>: One LLM Token for Explicit Graph Structural Understanding","created":"2026-02-02","cited_by_count":2,"area":null},{"id":"2410.00477","title":"ViDAS: Vision-based Danger Assessment and Scoring","created":"2024-10-01","cited_by_count":1,"area":null},{"id":"2412.10856","title":"RWKV-edge: Deeply Compressed RWKV for Resource-Constrained Devices","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2510.21999","title":"Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2604.08537","title":"Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2606.17637","title":"Brick-DICL: Dynamic In-Context Learning for Automated Brick Schema Classification","created":"2026-06-16","cited_by_count":1,"area":null},{"id":"2606.20538","title":"Multi-Task Bayesian In-Context Learning","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2410.19642","title":"VARS: Vision-based Assessment of Risk in Security Systems","created":"2024-10-25","cited_by_count":0,"area":null},{"id":"2411.15675","title":"Can a Large Language Model Learn Matrix Functions In Context?","created":"2024-11-24","cited_by_count":0,"area":null},{"id":"2602.11863","title":"In-Context Function Learning in Large Language Models","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2603.27611","title":"What Does a System Modify When It Modifies Itself?","created":"2026-03-29","cited_by_count":0,"area":null},{"id":"2605.01973","title":"Learn-To-Learn on Arbitrary Textual Conditioning: A Hypernetwork-Driven Meta-Gated LLM","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2608.19790","title":"LLMs as Acquisition Policies for Finite-Pool Materials Optimization: A Controlled Study","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2609.24352","title":"Few-Shot Demonstrations Elicit the Use of In-Context World Representations in LLMs","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}