{"total":28,"rows":[{"id":"2212.08061","title":"On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning","created":"2022-12-15","cited_by_count":194,"area":"lr"},{"id":"2405.10431","title":"Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models","created":"2024-05-16","cited_by_count":45,"area":"lr"},{"id":"2210.07269","title":"SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models","created":"2022-10-13","cited_by_count":22,"area":"lr"},{"id":"2602.06176","title":"Large Language Model Reasoning Failures","created":"2026-02-05","cited_by_count":21,"area":"lr"},{"id":"2205.12495","title":"ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection","created":"2022-05-25","cited_by_count":15,"area":"lr"},{"id":"2311.18711","title":"Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling","created":"2023-11-30","cited_by_count":12,"area":"lr"},{"id":"2602.10117","title":"Biases in the Blind Spot: Detecting What LLMs Fail to Mention","created":"2026-02-10","cited_by_count":8,"area":"lr"},{"id":"2503.00093","title":"Rethinking LLM Bias Probing Using Lessons from the Social Sciences","created":"2025-02-28","cited_by_count":7,"area":"lr"},{"id":"2508.06361","title":"Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts","created":"2025-08-08","cited_by_count":5,"area":"lr"},{"id":"2504.21299","title":"BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models","created":"2025-04-30","cited_by_count":4,"area":"lr"},{"id":"2201.01787","title":"Does Entity Abstraction Help Generative Transformers Reason?","created":"2022-01-05","cited_by_count":3,"area":"lr"},{"id":"2502.14155","title":"Giving AI Personalities Leads to More Human-Like Reasoning","created":"2025-02-19","cited_by_count":3,"area":"lr"},{"id":"2510.12818","title":"MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning","created":"2025-10-09","cited_by_count":3,"area":"lr"},{"id":"2602.21103","title":"Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning","created":"2026-02-24","cited_by_count":3,"area":"lr"},{"id":"2502.06487","title":"Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection","created":"2025-02-10","cited_by_count":2,"area":"lr"},{"id":"2503.00355","title":"Structured Reasoning for Fairness: A Multi-Agent Approach to Bias Detection in Textual Data","created":"2025-03-01","cited_by_count":2,"area":"lr"},{"id":"2411.17304","title":"Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning","created":"2024-11-26","cited_by_count":1,"area":"lr"},{"id":"2510.02351","title":"Language, Culture, and Ideology: Personalizing Offensiveness Detection in Political Tweets with Reasoning LLMs","created":"2025-09-27","cited_by_count":1,"area":"lr"},{"id":"2602.09442","title":"Evaluating Social Bias in RAG Systems: When External Context Helps and Reasoning Hurts","created":"2026-02-10","cited_by_count":1,"area":"lr"},{"id":"2603.21006","title":"How AI Systems Think About Education: Analyzing Latent Preference Patterns in Large Language Models","created":"2026-02-28","cited_by_count":1,"area":"lr"},{"id":"2505.06964","title":"Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research","created":"2025-05-11","cited_by_count":0,"area":"lr"},{"id":"2511.06023","title":"Multi-Reward GRPO Fine-Tuning for De-biasing Large Language Models: A Study Based on Chinese-Context Discrimination Data","created":"2025-11-08","cited_by_count":0,"area":"lr"},{"id":"2605.02348","title":"Decoding-Time Debiasing via Process Reward Models: From Controlled Fill-in to Open-Ended Generation","created":"2026-05-04","cited_by_count":0,"area":"lr"},{"id":"2606.10931","title":"It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO","created":"2026-06-09","cited_by_count":0,"area":"lr"},{"id":"2606.11046","title":"Does Reasoning Preserve Alignment? On the Trustworthiness of Large Reasoning Models","created":"2026-06-09","cited_by_count":0,"area":"lr"},{"id":"2606.16562","title":"MIRAGE: Auditing Anti-Muslim Bias in Frontier LLMs Across Reasoning, Agentic, and Time-Coupled Conditions","created":"2026-06-15","cited_by_count":0,"area":"lr"},{"id":"2607.20448","title":"Domyn-Small: A European 10B Reasoning Language Model","created":"2026-05-13","cited_by_count":0,"area":"lr"},{"id":"2608.14161","title":"BiasTrace: Linking Reasoning Behaviours to Biased Outputs in LLMs","created":"2026-08-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}