{"total":77,"rows":[{"id":"2503.17181","title":"A Study of LLMs' Preferences for Libraries and Programming Languages","created":"2025-03-21","cited_by_count":20,"area":null},{"id":"2506.02096","title":"SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis","created":"2025-06-02","cited_by_count":12,"area":"lr"},{"id":"2412.09572","title":"Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty","created":"2024-12-12","cited_by_count":11,"area":"lr"},{"id":"2508.15830","title":"DAIQ: Auditing Demographic Attribute Inference from Question in LLMs","created":"2025-08-18","cited_by_count":10,"area":null},{"id":"2601.05752","title":"AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior Monitor","created":"2026-01-09","cited_by_count":10,"area":null},{"id":"2603.07368","title":"Position: LLMs Must Use Functor-Based and RAG-Driven Bias Mitigation for Fairness","created":"2026-03-07","cited_by_count":10,"area":null},{"id":"2604.22891","title":"Quantifying and Mitigating Self-Preference Bias of LLM Judges","created":"2026-04-24","cited_by_count":10,"area":"alignment"},{"id":"2505.16408","title":"From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs","created":"2025-05-22","cited_by_count":9,"area":"lr"},{"id":"2506.09390","title":"Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making","created":"2025-06-11","cited_by_count":9,"area":null},{"id":"2506.23111","title":"FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes","created":"2025-06-29","cited_by_count":9,"area":null},{"id":"2507.20187","title":"Diversity-Enhanced Reasoning for Subjective Questions","created":"2025-07-27","cited_by_count":9,"area":"lr"},{"id":"2504.09277","title":"SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders","created":"2025-04-12","cited_by_count":8,"area":null},{"id":"2503.23688","title":"Mapping Geopolitical Bias in 11 Large Language Models: A Bilingual, Dual-Framing Analysis of U.S.-China Tensions","created":"2025-03-31","cited_by_count":7,"area":null},{"id":"2510.01254","title":"Do Bias Benchmarks Generalise? Evidence from Voice-based Evaluation of Gender Bias in SpeechLLMs","created":"2025-09-24","cited_by_count":7,"area":null},{"id":"2505.23829","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","created":"2025-05-28","cited_by_count":6,"area":null},{"id":"2503.15815","title":"Attention Pruning: Automated Fairness Repair of Language Models via Surrogate Simulated Annealing","created":"2025-03-20","cited_by_count":5,"area":null},{"id":"2505.07705","title":"Codifying Character Logic in Role-Playing","created":"2025-05-12","cited_by_count":5,"area":null},{"id":"2510.09871","title":"CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs","created":"2025-10-10","cited_by_count":5,"area":"safety"},{"id":"2511.20056","title":"Online-PVLM: Advancing Personalized VLMs with Online Concept Learning","created":"2025-11-25","cited_by_count":5,"area":"mllm"},{"id":"2505.16164","title":"Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task","created":"2025-05-22","cited_by_count":4,"area":null},{"id":"2507.18584","title":"AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs","created":"2025-07-24","cited_by_count":4,"area":"synth"},{"id":"2509.14438","title":"Simulating a Bias Mitigation Scenario in Large Language Models","created":"2025-09-17","cited_by_count":4,"area":null},{"id":"2601.16407","title":"Jacobian Scopes: token-level causal attributions in LLMs","created":"2026-01-23","cited_by_count":4,"area":null},{"id":"2505.16128","title":"Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning","created":"2025-05-22","cited_by_count":3,"area":"lr"},{"id":"2507.01019","title":"MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered","created":"2025-04-10","cited_by_count":3,"area":"agents"},{"id":"2508.21164","title":"Quantifying Label-Induced Bias in Large Language Model Self- and Cross-Evaluations","created":"2025-08-28","cited_by_count":3,"area":null},{"id":"2510.06931","title":"Textual interpretation of transient image classifications from large language models","created":"2025-10-08","cited_by_count":3,"area":null},{"id":"2603.02960","title":"Architecting Trust in Artificial Epistemic Agents","created":"2026-03-03","cited_by_count":3,"area":"agents"},{"id":"2505.23996","title":"Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2506.01814","title":"Analysis of LLM Bias (Chinese Propaganda & Anti-US Sentiment) in DeepSeek-R1 vs. ChatGPT o3-mini-high","created":"2025-06-02","cited_by_count":2,"area":"lr"},{"id":"2506.02431","title":"From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2507.08027","title":"\"Amazing, They All Lean Left\" -- Analyzing the Political Temperaments of Current LLMs","created":"2025-07-08","cited_by_count":2,"area":null},{"id":"2509.02133","title":"AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models","created":"2025-09-02","cited_by_count":2,"area":"alignment"},{"id":"2509.03113","title":"Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection","created":"2025-09-03","cited_by_count":2,"area":"mllm"},{"id":"2510.04138","title":"Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets","created":"2025-10-05","cited_by_count":2,"area":null},{"id":"2510.24488","title":"A word association network methodology for evaluating implicit biases in LLMs compared to humans","created":"2025-10-28","cited_by_count":2,"area":null},{"id":"2512.10687","title":"Safe for Whom? Rethinking How We Evaluate the Safety of LLMs for Real Users","created":"2025-12-11","cited_by_count":2,"area":"lr"},{"id":"2601.06116","title":"The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety","created":"2026-01-03","cited_by_count":2,"area":null},{"id":"2602.00044","title":"When LLMs Imagine People: A Human-Centered Persona Brainstorm Audit for Bias and Fairness in Creative Applications","created":"2026-01-19","cited_by_count":2,"area":null},{"id":"2604.23593","title":"When AI reviews science: Can we trust the referee?","created":"2026-04-26","cited_by_count":2,"area":null},{"id":"2505.12381","title":"From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2506.16584","title":"Measuring Intent Comprehension in LLMs","created":"2025-06-19","cited_by_count":1,"area":null},{"id":"2507.12451","title":"S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling","created":"2025-07-16","cited_by_count":1,"area":null},{"id":"2507.17788","title":"Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2508.08855","title":"BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Injection","created":"2025-08-12","cited_by_count":1,"area":null},{"id":"2508.18724","title":"Bias Mitigation Agent: Optimizing Source Selection for Fair and Balanced Knowledge Retrieval","created":"2025-08-26","cited_by_count":1,"area":"agents"},{"id":"2603.20637","title":"AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning via Dialectics and Meta-Auditing","created":"2026-03-21","cited_by_count":1,"area":"lr"},{"id":"2606.04807","title":"BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization","created":"2026-06-03","cited_by_count":1,"area":"alignment"},{"id":"2608.19794","title":"Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents","created":"2026-08-20","cited_by_count":1,"area":"lr"},{"id":"2507.20000","title":"Matching Game Preferences Through Dialogical Large Language Models: A Perspective","created":"2025-07-26","cited_by_count":0,"area":null},{"id":"2508.19463","title":"\"She was useful, but a bit too optimistic\": Augmenting Design with Interactive Virtual Personas","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2509.15803","title":"CIDER: A Causal Cure for Brand-Obsessed Text-to-Image Models","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2510.04133","title":"Modeling Time Series Dynamics with Fourier Ordinary Differential Equations","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2510.09771","title":"PromptGuard at BLP-2025 Task 1: A Few-Shot Classification Framework Using Majority Voting and Keyword Similarity for Bengali Hate Speech Detection","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2510.16206","title":"The Right to Be Remembered: Preserving Maximally Truthful Digital Memory in the Age of AI","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2512.00556","title":"Bias Testing and Mitigation in Black Box LLMs using Metamorphic Relations","created":"2025-11-29","cited_by_count":0,"area":null},{"id":"2512.04386","title":"MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2601.06861","title":"BiasLab: A Multilingual Dual-Framing Framework for LLM Bias Measurement, Applied to Workplace and HR Contexts","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2601.09421","title":"Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training Debiasing","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2601.13122","title":"Responsible AI for General-Purpose Systems: Overview, Challenges, and A Path Forward","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2601.13749","title":"Pro-AI Bias in Large Language Models","created":"2026-01-20","cited_by_count":0,"area":null},{"id":"2603.06264","title":"Mind the Gap: Pitfalls of LLM Alignment with Asian Public Opinion","created":"2026-03-06","cited_by_count":0,"area":"alignment"},{"id":"2603.08267","title":"Towards a more efficient bias detection in financial language models","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2604.01925","title":"ImplicitBBQ: Benchmarking Implicit Bias in Large Language Models through Characteristic Based Cues","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.09617","title":"AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2604.14768","title":"CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning","created":"2026-04-16","cited_by_count":0,"area":"lr"},{"id":"2604.19431","title":"Counting Worlds Branching Time Semantics for post-hoc Bias Mitigation in generative AI","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2604.19768","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2604.23786","title":"FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment","created":"2026-04-26","cited_by_count":0,"area":null},{"id":"2605.00468","title":"ReLay: Personalized LLM-Generated Plain-Language Summaries for Better Understanding, but at What Cost?","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2605.01451","title":"Auditing demographic bias in AI-based emergency police dispatch: a cross-lingual evaluation of eleven large language models","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2605.24384","title":"Side-by-side Comparison Amplifies Dialect Bias in Language Models","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2606.00563","title":"A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models","created":"2026-05-30","cited_by_count":0,"area":null},{"id":"2606.02339","title":"Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.08311","title":"Curation of a Cardiology Interface Terminology for Highlighting Electronic Health Records using Machine Learning","created":"2026-06-06","cited_by_count":0,"area":null},{"id":"2607.07766","title":"Alignment Plausibility: A New Standard for Assuring AI in Healthcare","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.26062","title":"Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities","created":"2026-06-16","cited_by_count":0,"area":null}],"next_cursor":null}