{"total":54,"rows":[{"id":"2407.02996","title":"Are Large Language Models Consistent over Value-laden Questions?","created":"2024-07-03","cited_by_count":58,"area":null},{"id":"2411.04427","title":"One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity","created":"2024-11-07","cited_by_count":58,"area":"alignment"},{"id":"2405.09605","title":"Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models","created":"2024-05-15","cited_by_count":55,"area":"wm"},{"id":"2407.03129","title":"Social Bias Evaluation for Large Language Models Requires Prompt Variations","created":"2024-07-03","cited_by_count":40,"area":null},{"id":"2503.07513","title":"Language Models Fail to Introspect About Their Knowledge of Language","created":"2025-03-10","cited_by_count":30,"area":null},{"id":"2406.06196","title":"LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low-Resource and Extinct Languages","created":"2024-06-10","cited_by_count":28,"area":"lr"},{"id":"2502.20502","title":"On Benchmarking Human-Like Intelligence in Machines","created":"2025-02-27","cited_by_count":25,"area":null},{"id":"2408.07144","title":"Language Models as Models of Language","created":"2024-08-13","cited_by_count":24,"area":null},{"id":"2502.21098","title":"Re-evaluating Theory of Mind evaluation in large language models","created":"2025-02-28","cited_by_count":23,"area":null},{"id":"2404.03134","title":"Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?","created":"2024-04-04","cited_by_count":17,"area":"lr"},{"id":"2406.13803","title":"LLMs as Models for Analogical Reasoning","created":"2024-06-19","cited_by_count":16,"area":"lr"},{"id":"2510.16227","title":"What Can String Probability Tell Us About Grammaticality?","created":"2025-10-17","cited_by_count":16,"area":null},{"id":"2506.00253","title":"Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race","created":"2025-05-30","cited_by_count":15,"area":"alignment"},{"id":"2404.13070","title":"Evidence from counterfactual tasks supports emergent analogical reasoning in large language models","created":"2024-04-14","cited_by_count":14,"area":"lr"},{"id":"2505.07460","title":"A Survey on Collaborative Mechanisms Between Large and Small Language Models","created":"2025-05-12","cited_by_count":14,"area":null},{"id":"2406.10215","title":"DevBench: A multimodal developmental benchmark for language learning","created":"2024-06-14","cited_by_count":13,"area":"mllm"},{"id":"2510.24963","title":"Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale","created":"2025-10-28","cited_by_count":13,"area":null},{"id":"2412.07646","title":"Searching for Structure: Investigating Emergent Communication with Large Language Models","created":"2024-12-10","cited_by_count":10,"area":null},{"id":"2503.13401","title":"Levels of Analysis for Large Language Models","created":"2025-03-17","cited_by_count":10,"area":null},{"id":"2504.00285","title":"When Do Large Language Models Exhibit Unsolicited Deception?","created":"2025-03-31","cited_by_count":10,"area":null},{"id":"2409.05653","title":"WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case","created":"2024-09-09","cited_by_count":9,"area":null},{"id":"2410.11672","title":"Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers","created":"2024-10-15","cited_by_count":9,"area":null},{"id":"2406.14737","title":"Dissecting the Ullman Variations with a SCALPEL: Why do LLMs fail at Trivial Alterations to the False Belief Task?","created":"2024-06-20","cited_by_count":7,"area":null},{"id":"2502.17356","title":"Random Scaling of Emergent Capabilities","created":"2025-02-24","cited_by_count":7,"area":null},{"id":"2405.05776","title":"Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions","created":"2024-05-09","cited_by_count":5,"area":null},{"id":"2504.15471","title":"Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models","created":"2025-04-21","cited_by_count":5,"area":null},{"id":"2509.15114","title":"Large Language Model probabilities cannot distinguish between possible and impossible language","created":"2025-09-18","cited_by_count":5,"area":null},{"id":"2407.03859","title":"Anthropocentric bias in language model evaluation","created":"2024-07-04","cited_by_count":4,"area":null},{"id":"2412.05353","title":"Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models","created":"2024-12-06","cited_by_count":4,"area":null},{"id":"2503.12370","title":"Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs","created":"2025-03-16","cited_by_count":4,"area":null},{"id":"2504.11381","title":"RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models","created":"2025-04-15","cited_by_count":4,"area":null},{"id":"2504.14107","title":"Signatures of human-like processing in Transformer forward passes","created":"2025-04-18","cited_by_count":3,"area":null},{"id":"2602.01997","title":"On the Limits of Layer Pruning for Generative Reasoning in Large Language Models","created":"2026-02-02","cited_by_count":3,"area":"lr"},{"id":"2501.12651","title":"The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories","created":"2025-01-22","cited_by_count":2,"area":null},{"id":"2506.06808","title":"Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events","created":"2025-06-07","cited_by_count":2,"area":null},{"id":"2512.10451","title":"Metacognitive Sensitivity for Test-Time Dynamic Model Selection","created":"2025-12-11","cited_by_count":2,"area":null},{"id":"2603.26539","title":"How Open Must Language Models be to Enable Reliable Scientific Inference?","created":"2026-03-27","cited_by_count":2,"area":null},{"id":"2412.18120","title":"Do Language Models Understand the Cognitive Tasks Given to Them? Investigations with the N-Back Paradigm","created":"2024-12-24","cited_by_count":1,"area":null},{"id":"2504.05059","title":"MIAT: Maneuver-Intention-Aware Transformer for Spatio-Temporal Trajectory Prediction","created":"2025-04-07","cited_by_count":1,"area":null},{"id":"2507.13238","title":"Multilingual LLMs Are Not Multilingual Thinkers: Evidence from Hindi Analogy Evaluation","created":"2025-07-17","cited_by_count":1,"area":"lr"},{"id":"2509.04459","title":"Uncertainty-Aware Collaborative System of Large and Small Models for Multimodal Sentiment Analysis","created":"2025-08-27","cited_by_count":1,"area":null},{"id":"2510.24804","title":"Conflict Adaptation in Vision-Language Models","created":"2025-10-28","cited_by_count":1,"area":"mllm"},{"id":"2511.13095","title":"BeDiscovER: The Benchmark of Discourse Understanding in the Era of Reasoning Language Models","created":"2025-11-17","cited_by_count":1,"area":"lr"},{"id":"2601.19926","title":"The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models","created":"2026-01-09","cited_by_count":1,"area":null},{"id":"2605.11206","title":"Instructions Shape Production of Language, not Processing","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2504.09886","title":"Investigating Syntactic Biases in Multilingual Transformers with RC Attachment Ambiguities in Italian and English","created":"2025-04-14","cited_by_count":0,"area":null},{"id":"2504.16884","title":"Do Large Language Models know who did what to whom?","created":"2025-04-23","cited_by_count":0,"area":null},{"id":"2605.09042","title":"Evaluating Pragmatic Reasoning in Large Language Models: Evidence from Scalar Diversity","created":"2026-05-09","cited_by_count":0,"area":"lr"},{"id":"2605.21683","title":"Investigating Concept Alignment Using Implausible Category Members","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2606.05497","title":"LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, \"Is Your VLM Smarter Than a 5th Grader?\")","created":"2026-06-03","cited_by_count":0,"area":"mllm"},{"id":"2606.13607","title":"Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning","created":"2026-06-11","cited_by_count":0,"area":"wm"},{"id":"2606.17372","title":"Implicit vs. Explicit Prompting Strategies for LVLMs in Referential Communication","created":"2026-06-16","cited_by_count":0,"area":"mllm"},{"id":"2608.07812","title":"On the use of foundation models in cognitive science","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2608.18083","title":"Entity tracking emerges in sub-billion parameter language models and exceeds human performance in naturalistic narratives","created":"2026-06-04","cited_by_count":0,"area":null}],"next_cursor":null}