Implicit Bias

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Large Language Model Bias

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Beyond Position Bias: Shifting Context Compression from Position-Driven to Semantic-Driven
May 10, 2026Jiwei Tang, Zhijing Huang, Xinyu Zhang +5Large Language Model Compression Efficient Long-Context Inference
Let the Target Select for Itself: Data Selection via Target-Aligned Paths
May 10, 2026Huitao Yang, Hengzhi He, Guang ChengTraining Data Attribution Adaptive Sampling
Do Linear Probes Generalize Better in Persona Coordinates?
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The Pokémon Theorem and other Fairness Impossibility Results
May 9, 2026Daniel Matsui Smola, Alex SmolaFairness Constraints Implicit Bias
Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain
May 9, 2026Xiaoyu Hu, Jinman ZhaoFinancial Strategy Research Large Language Model Bias
Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias
May 9, 2026Aishwarya Fursule, Shruti Kshirsagar, Anderson R. AvilaAudio Deepfake Detection Acoustic Representation
BiAxisAudit: A Novel Framework to Evaluate LLM Bias Across Prompt Sensitivity and Response-Layer Divergence
May 9, 2026Jialing Gan, Junhao Dong, Songze LiLarge Language Model Bias Algorithm Auditing
Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation
May 9, 2026Weidong Zheng, Kongyang Chen, Yuanwei Guo +1Bias Mitigation Implicit Bias
Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation
May 9, 2026Jikun Wu, Dongxin Guo, Siu-Ming YiuImplicit Bias Cognitive Science
Explanation Fairness in Large Language Models: An Empirical Analysis of Disparities in How LLMs Justify Decisions Across Demographic Groups
May 9, 2026Gautam VeldandaLarge Language Model Bias Disparities
Beyond Static Bias: Adaptive Multi-Fidelity Bandits with Improving Proxies
May 8, 2026Muyun Lu, Haoyang Hong, Huazheng Wang +1Multi-Armed Bandits Generalized Linear Bandit
Political Plasticity: An Analysis of Ideological Adaptability in Large Language Models
May 8, 2026Bruno Bianchi, Diego Tiscornia, Matias Travizano +1Large Language Model Bias Ideology
CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios
May 8, 2026Taein Lim, Seongyong Ju, Munhyeok Kim +2Implicit Bias Large Language Model Agents
Is She Even Relevant? When BERT Ignores Explicit Gender Cues
May 8, 2026Jonas Klein, Chiara Manna, Eva VanmassenhoveGender Bert-Based Models
Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks
May 8, 2026Gandharv Patil, Keyi Tang, Raquel Aoki +1Heterogeneous Treatment Effects Finite-Sample
Mitigating Cognitive Bias in RLHF by Altering Rationality
May 7, 2026Tiffany Horter, Andrew Markham, Niki Trigoni +1Reinforcement Learning From Human Feedback Rationality
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
May 7, 2026Aditya Parikh, Stella Frank, Sneha Das +1Bias Mitigation Implicit Bias
Debiased Multimodal Personality Understanding through Dual Causal Intervention
May 7, 2026Yangfu Zhu, Zitong Han, Nianwen Ning +4Personality Causal Intervention
Who and What? Using Linguistic Features and Annotator Characteristics to Analyze Annotation Variation
May 7, 2026Maximilian Maurer, Maximilian Linde, Gabriella LapesaHuman Annotators Hate Speech
When Does $\ell_2$ -Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias
May 7, 2026Ye Su, Jian Li, Yong LiuOverfitting Empirical Risk Minimization
The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
May 7, 2026Hoin Jung, Xiaoqian WangMulti-Source Retrieval-Augmented Generation Multi-Modal Large Language Models
Estimating Implicit Regularization in Deep Learning
May 6, 2026Joseph H. Rudoler, Kevin Tan, Giles Hooker +1Regularization Techniques Quadratic Slack Penalty
Misaligned by Reward: Socially Undesirable Preferences in LLMs
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May 5, 2026Hoffmann Muki, Olukunle OwolabiConflict Humanitarian Reports
EQUITRIAGE: A Fairness Audit of Gender Bias in LLM-Based Emergency Department Triage
May 5, 2026Richard J. Young, Alice M. MatthewsGender Bias Triage
Magic-Informed Quantum Architecture Search
May 5, 2026Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis +1Quantum Advantage Many-Body Physics
Measuring and Mitigating Bias in Code Generated by Large Language Models
May 5, 2026Yuxi Chen, Yutian Tang, Timothy StorerLarge Language Model Bias Code Generation
Predicting missing values: A good idea?
May 5, 2026Stef van BuurenMultivariate Time Series Imputation Missing Data
Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability
May 4, 2026Yash Aggarwal, Atmika Gorti, Vinija Jain +3Large Language Model Bias Moral Reasoning
Global and Local Topology-Aware Attention with Persistent Homology and Euler Biases for Time-Series Forecasting
May 4, 2026Usef Faghihi, Amir SakiTopological Deep Learning Time Series
Decoding-Time Debiasing via Process Reward Models: From Controlled Fill-in to Open-Ended Generation
May 4, 2026Muneeb Ur Raheem KhanLarge Language Model Bias Bias Mitigation
Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
May 3, 2026Xuemei Tang, Xufeng Duan, Zhenguang G. CaiMultiple-Choice Questions Implicit Bias
Exploring Entropy-based Active Learning for Fair Brain Segmentation
May 3, 2026Ghazal Danaee, Mélanie Gaillochet, Christian Desrosiers +2Fairness-Aware Learning Medical Image Segmentation
Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI
May 2, 2026Yi-Cheng Lin, Yun-Shao Tsai, Kuan-Yu Chen +3Implicit Bias Evaluation Metrics
Auditing demographic bias in AI-based emergency police dispatch: a cross-lingual evaluation of eleven large language models
May 2, 2026William Guey, Wei Zhang, Pierrick Bougault +4Large Language Model Bias Algorithm Auditing
A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis
May 2, 2026Muhammad Arslan Manzoor, Dilshod Azizov, Daniil Orel +4Dissipative Media Fact-Checking
Mean Testing under Truncation beyond Gaussian
May 2, 2026Yuhao Wang, Roberto Imbuzeiro Oliveira, Themis GouleakisTruncation Regularity
Truth or Tribe: How In-group Favoritism Prioritize Facts in Persona Agents
May 2, 2026Shijun Lei, Hongyu Wang, Yunji Liang +3Social Reasoning Persona
Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation
May 2, 2026Peiyang Liu, Qiang Yan, Ziqiang Cui +3Retrieval-Augmented Generation Systems Implicit Bias
Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI
May 2, 2026Plawan Kumar Rath, Rahul MaliakkalHeterogeneous Pruning Scores Large Language Model Bias
Compared to What? Baselines and Metrics for Counterfactual Prompting
May 1, 2026Zihao Yang, Mosh Levy, Yoav Goldberg +1Counterfactual Reasoning Large Language Model Bias
Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness
May 1, 2026Faisal Feroz, Jonas R. KunstLarge Language Model Bias Ideology
A Framework for Exploring and Disentangling Intersectional Bias: A Case Study in Fetal Ultrasound
May 1, 2026Aya Elgebaly, Joris Fournel, Benjamin Laine Jønch Jurgensen +5Prenatal Ultrasound Gender Bias
ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
May 1, 2026Ta Thanh Thuy, Jiaqi Zhu, Xuan Liu +6Discourse Ideology
Social Bias in LLM-Generated Code: Benchmark and Mitigation
May 1, 2026Fazle Rabbi, Lin Ling, Song Wang +1Large Language Model Bias Code Generation
Beyond Pixel Fidelity: Minimizing Perceptual Distortion and Color Bias in Night Photography Rendering
Apr 30, 2026Furkan KınlıLow-Light Images Image Processing
MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness
Apr 30, 2026Jeanne Monnier, Thomas George, Frédéric Guyard +2Fairness-Aware Learning Multiclass Classification
Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News Comments
Apr 30, 2026Emilia Milano, Alistair Plum, Yves Scherrer +1Multilingual Large Language Models Linguistics
Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor
Apr 30, 2026Petter Törnberg, Michelle SchimmelLarge Language Model Bias Ideology
Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior
Apr 30, 2026Ali Aghazadeh Ardebili, Massimo StellaLarge Language Model Bias Demographics
Debiasing Reward Models via Causally Motivated Inference-Time Intervention
Apr 30, 2026Kazutoshi Shinoda, Kosuke Nishida, Kyosuke NishidaLarge Language Model Bias Responses
Nothing Deceives Like Success: Social Learning and the Illusion of Understanding in Science
Apr 29, 2026Avery W. Louis, Marina DubovaScientific Discovery Collective Behaviors
HierBias: Context-Conditioned Hierarchical Media Bias Detection with Multi-Task Type Classification
Apr 29, 2026Kaining Li, Ruichen Yan, Yuxin DongSentence-Level Classification Implicit Bias
Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases
Apr 29, 2026Gota MorishitaFederated Learning Fairness-Aware Learning
Automatic Causal Fairness Analysis with LLM-Generated Reporting
Apr 29, 2026Alessia Berarducci, Eric Rossetto, Alessandro Antonucci +1Large Language Model Bias Artificial Intelligence Systems
Why Are Some Emotions Harder for LLMs? Uncovering the Causal Mechanisms of Emotion Inference via Sparse Autoencoders
Apr 28, 2026Bangzhao Shu, Arinjay Singh, Mai ElSheriefEmotion Large Language Model Performance
Subliminal Steering: Stronger Encoding of Hidden Signals
Apr 28, 2026George Morgulis, John HewittImplicit Bias Hidden States
Progressing beyond Art Masterpieces or Touristic Clichés: how to assess your LLMs for cultural alignment?
Apr 28, 2026António Branco, João Silva, Nuno Marques +10Cultural Knowledge Large Language Model Alignment
Geographic Bias and Diversity in AI Evaluation
Apr 28, 2026Zilong Liu, Krzysztof Janowicz, Gengchen Mai +2Bridging Geographic Bias Large Language Model Bias
An Investigation of Linguistic Biases in LLM-Based Recommendations
Apr 28, 2026Nitin Venkateswaran, Jason Ang, Deep Adhikari +1Large Language Model Bias Multilingual Large Language Models

May 10, 2026 · cs.CLJ/K move · Enter open · S save

Beyond Position Bias: Shifting Context Compression from Position-Driven to Semantic-Driven

Jiwei Tang, Zhijing Huang, Xinyu Zhang, Chen Jason Zhang+4

Sun Yat-sen University · Hong Kong Polytechnic University · Beijing Normal–Hong Kong Baptist University

Large Language Models (LLMs) have demonstrated exceptional performance across diverse tasks. However, their deployment in long-context scenarios faces high computational overhead and information redundancy. While soft prompt compression has emerged as a promising way to mitigate these costs by compressing sequences into compact embeddings, existing paradigms remain fundamentally constrained by position bias: they primarily rely on learnable tokens insertion at fixed positions or group tokens according to their physical token layout, thereby inducing performance instability and semantic fragmentation. To overcome this bottleneck, we propose Semantic Consistency Context Compression (SeCo), a method that shifts context compression from position-driven to semantic-driven. Rather than constraint by physical token layout, SeCo dynamically anchors compression directly in the semantic space by selecting query-relevant tokens as semantic centers and aggregating remaining tokens via consistency-weighted merging. This design inherently preserves semantic consistency while eliminating position bias. Extensive experiments on 14 benchmarks across two backbone models demonstrate that SeCo consistently shows superiority in downstream tasks, inference latency, and out-of-domain robustness. The code is available at https://anonymous.4open.science/r/seco-EE5E.

Large Language Model Compression Efficient Long-Context Inference Latent Reasoning Tokens Context Compression Position Implicit Bias

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