{"total":25,"rows":[{"id":"2109.09234","title":"Conditional probing: measuring usable information beyond a baseline","created":"2021-09-19","cited_by_count":62,"area":null},{"id":"2201.12191","title":"Kernelized Concept Erasure","created":"2022-01-28","cited_by_count":48,"area":null},{"id":"2109.14989","title":"Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations","created":"2021-09-30","cited_by_count":44,"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":"2306.08158","title":"Sociodemographic Bias in Language Models: A Survey and Forward Path","created":"2023-06-13","cited_by_count":28,"area":null},{"id":"2412.05571","title":"A polar coordinate system represents syntax in large language models","created":"2024-12-07","cited_by_count":25,"area":null},{"id":"2206.11719","title":"AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models","created":"2022-06-23","cited_by_count":16,"area":null},{"id":"2308.01154","title":"Arithmetic with Language Models: from Memorization to Computation","created":"2023-08-02","cited_by_count":12,"area":null},{"id":"2408.15510","title":"How Reliable are Causal Probing Interventions?","created":"2024-08-28","cited_by_count":11,"area":null},{"id":"2403.18680","title":"Non-Linear Inference Time Intervention: Improving LLM Truthfulness","created":"2024-03-27","cited_by_count":9,"area":null},{"id":"2211.06420","title":"The Architectural Bottleneck Principle","created":"2022-11-11","cited_by_count":5,"area":null},{"id":"2508.03211","title":"Probing Syntax in Large Language Models: Successes and Remaining Challenges","created":"2025-08-05","cited_by_count":5,"area":null},{"id":"2511.01023","title":"Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer","created":"2025-11-02","cited_by_count":5,"area":null},{"id":"2406.11930","title":"A Critical Study of What Code-LLMs (Do Not) Learn","created":"2024-06-17","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":"2210.17406","title":"Emergent Linguistic Structures in Neural Networks are Fragile","created":"2022-10-31","cited_by_count":2,"area":null},{"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":"2603.23821","title":"Perturbation: A simple and efficient adversarial tracer for representation learning in language models","created":"2026-03-25","cited_by_count":1,"area":null},{"id":"2605.05197","title":"Implicit Representations of Grammaticality in Language Models","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2310.11363","title":"Disentangling the Linguistic Competence of Privacy-Preserving BERT","created":"2023-10-17","cited_by_count":0,"area":null},{"id":"2506.21861","title":"Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2511.23120","title":"Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2604.18712","title":"Probing for Reading Times","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.25893","title":"$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation Signals","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2609.22695","title":"A Survey on the Linear Representation Hypothesis","created":"2026-09-19","cited_by_count":0,"area":null}],"next_cursor":null}