Key papers

• Quantifying Political Partisanship for Cross-Platform Analyses (2026)
  Fathima Ameen et al.
  5.49
• Bounded Morality: Defining the Space of Moral Computation (2026)
  Max Kanwal et al.
  5.01
• Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study (2026)
  Andrea Gerardo Russo et al.
  5.01
• Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies (2026)
  Filippos Vlahos et al.
  5.01
• Analyzing Toxic Behavior and Its Impact on the Mastodon Community (2026)
  Pasan Kamburugamuwa et al.
  5.01
• Developing and Validating the Spanish Version of the Large Language Models Dependency Scale (LLM-D12-SP) (2026)
  Tran Gia Bao et al.
  5.01
• Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training (2026)
  Jasmine Brazilek et al.
  4.95
• Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs (2026)
  Robert Graham et al.
  4.39
• ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models (2026)
  Wojciech Michaluk et al.
  4.39
• Beyond Perspectives: A Trio-Ethnography of Interpretation Evolution in LLM-Supported Programming Education (2026)
  Jennie Ren et al.
  4.39
• Moral Safety in LLMs: Exposing Performative Compliance with Puzzled Cues (2026)
  Mohammadamin Shafiei et al.
  4.33
• Shiny Stories, Hidden Struggles: Investigating the Representation of Disability Through the Lens of LLMs (2026)
  Marco Bombieri et al.
  3.39
• Large language models reshape the language of science (2025)
  Dingkang Lin et al.
  2.76
• Measuring How Students Rely on Generative AI in Academic Writing: Development and Multi-Source Validation of the Generative AI Reliance Types Scale (GenAI-RTS) (2026)
  Shahin Hossain et al.
  2.00
• SciRisk-Bench: A Risk-Dimension-Aware Benchmark for AI4Science Safety (2026)
  Linghao Feng et al.
  1.94
• Four Types of LLM Reliance and Their Predictors Among Undergraduate Writers: A Mixed-Methods Study at a Minority-Serving R1 University (2026)
  Shahin Hossain
  1.94
• Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook (2026)
  Jaehyeok Lee et al.
  1.83
• Diversity Without Fidelity: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation Simulation (2026)
  Sandro Andric
  1.83
• Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable (2026)
  Rounak Saha et al.
  1.78
• From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem (2025)
  James Jewitt et al.
  1.44
• From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models (2025)
  Melanie Galea and Claudia Borg
  1.33
• Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models (2022)
  Virginia K. Felkner et al.
  —
• All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation (2023)
  Pragyan Banerjee et al.
  —
• Understanding Intrinsic Socioeconomic Biases in Large Language Models (2024)
  Mina Arzaghi et al.
  —
• A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions (2024)
  Rajesh Ranjan et al.
  —
• Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) (2024)
  Leander Girrbach et al.
  —
• Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance (2024)
  Chen-Wei Chang et al.
  —