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CV Papers Daily

Updated on 2025.10.01

spurious correlation

Date Title Authors PDF Code Comments
2025-9-29 Sparse Covariance Neural Networks Andrea Cavalloet.al paper - -
2025-9-29 Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation Lei Tonget.al paper - -
2025-9-29 InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning Ji Zhanget.al paper - -
2025-9-29 Toward Causal-Visual Programming: Enhancing Agentic Reasoning in Low-Code Environments Jiexi Xuet.al paper - -
2025-9-28 The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning Wenqian Yeet.al paper code
<summary>detail</summary>Version 3 with Major Revision
2025-9-28 Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning Yiwei Chenet.al paper - -
2025-9-28 Does Weak-to-strong Generalization Happen under Spurious Correlations? Chenruo Liuet.al paper - -
2025-9-28 GroupCoOp: Group-robust Fine-tuning via Group Prompt Learning Nayeong Kimet.al paper -
<summary>detail</summary>This paper was first submitted to NeurIPS 2024 in May 2024
2025-9-27 Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence Yuqiao Menget.al paper - -
2025-9-27 Causally-Enhanced Reinforcement Policy Optimization Xiangqi Wanget.al paper - -
2025-9-26 Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization Pritam Sarkaret.al paper -
<summary>detail</summary>NeurIPS 2025
2025-9-26 Counterfactual Visual Explanation via Causally-Guided Adversarial Steering Yiran Qiaoet.al paper - -
2025-9-26 Explaining multimodal LLMs via intra-modal token interactions Jiawei Lianget.al paper - -
2025-9-26 Transfer Learning under Group-Label Shift: A Semiparametric Exponential Tilting Approach Manli Chenget.al paper - -
2025-9-26 Towards a more realistic evaluation of machine learning models for bearing fault diagnosis João Paulo Vieiraet.al paper -
<summary>detail</summary>Submitted to Mechanical Systems and Signal Processing

spurious

Date Title Authors PDF Code Comments
2025-9-30 FlowCast-ODE: Continuous Hourly Weather Forecasting with Dynamic Flow Matching and ODE Solver Shuangshuang Heet.al paper - -
2025-9-30 Mapping beyond diseases: Controlled variable selection for secondary phenotypes using tilted knockoffs Qian Zhaoet.al paper - -
2025-9-30 Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models Tian Xiaet.al paper - -
2025-9-30 RE-Searcher: Robust Agentic Search with Goal-oriented Planning and Self-reflection Daocheng Fuet.al paper - -
2025-9-30 SGS: Segmentation-Guided Scoring for Global Scene Inconsistencies Gagandeep Singhet.al paper code -
2025-9-30 Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging Haoran Peiet.al paper - -
2025-9-30 Boosting Process-Correct CoT Reasoning by Modeling Solvability of Multiple-Choice QA Raphael Schumannet.al paper - -
2025-9-30 Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data Gongxu Luoet.al paper - -
2025-9-29 A bound-preserving multinumerics scheme for steady-state convection-diffusion equations Maurice S. Fabienet.al paper - -
2025-9-29 Contrastive Representations for Temporal Reasoning Alicja Ziarkoet.al paper code
<summary>detail</summary>NeurIPS 2025
2025-9-29 Overcoming Over-Fitting in Constraint Acquisition via Query-Driven Interactive Refinement Vasileios Balafaset.al paper -
<summary>detail</summary>Preprint

spurious*

Date Title Authors PDF Code Comments
2025-9-26 Single-weight Model Editing for Post-hoc Spurious Correlation Neutralization Shahin Hakemiet.al paper - -
2025-9-23 Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable Ruoxin Chenet.al paper code
<summary>detail</summary>NeurIPS2025 Spotlight
2025-9-4 WASP: A Weight-Space Approach to Detecting Learned Spuriousness Cristian Daniel Păduraruet.al paper -
<summary>detail</summary>under review
2025-9-3 EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings Tristan Luca Saidiet.al paper - -
2025-8-27 Training with Explanations Alone: A New Paradigm to Prevent Shortcut Learning Pedro R. A. S. Bassiet.al paper - -
2025-7-15 The Pragmatic Frames of Spurious Correlations in Machine Learning: Interpreting How and Why They Matter Samuel J. Bellet.al paper - -
2025-6-17 ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models Guangtao Zhenget.al paper -
<summary>detail</summary>IJCAI 2025
2025-6-14 Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models Tianjie Juet.al paper code
<summary>detail</summary>ICML 2025
2025-6-12 Attuned to Change: Causal Fine-Tuning under Latent-Confounded Shifts Jialin Yuet.al paper - -
2025-5-27 Full LTL Synthesis over Infinite-state Arenas Shaun Azzopardiet.al paper -
<summary>detail</summary>Extended version of identically-titled paper to be published in the proceedings of CAV 2025
2025-5-19 Controlled Training Data Generation with Diffusion Models Teresa Yeoet.al paper code
<summary>detail</summary>Project page at https://adversarial-prompts
2025-5-8 Assessing Robustness to Spurious Correlations in Post-Training Language Models Julia Shuiehet.al paper -
<summary>detail</summary>ICLR ‘25 Workshop on Spurious Correlation and Shortcut Learning
2025-5-2 Improving Group Fairness in Knowledge Distillation via Laplace Approximation of Early Exits Edvin Fasthet.al paper - -
2025-4-13 Selective Query-guided Debiasing for Video Corpus Moment Retrieval Sunjae Yoonet.al paper - -

visual counterfactual explanation

Date Title Authors PDF Code Comments
2025-9-30 MUSE-Explainer: Counterfactual Explanations for Symbolic Music Graph Classification Models Baptiste Hilaireet.al paper -
<summary>detail</summary>the 17th International Symposium on Computer Music Multidisciplinary Research (CMMR) 2025
2025-9-20 Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models Townim Faisal Chowdhuryet.al paper -
<summary>detail</summary>IEEE/CVF International Conference on Computer Vision (ICCV)
2025-9-7 Imagining Alternatives: Towards High-Resolution 3D Counterfactual Medical Image Generation via Language Guidance Mohamed Mohamedet.al paper - -
2025-8-24 Explainable AI (XAI) for Arrhythmia detection from electrocardiograms Joschka Becket.al paper - -
2025-8-7 Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis Furui Chenget.al paper -
<summary>detail</summary>ACM Class:I
2025-8-6 DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification Saifullah Saifullahet.al paper - -
2025-7-22 AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation Nima Fathiet.al paper - -
2025-7-11 MI CAM: Mutual Information Weighted Activation Mapping for Causal Visual Explanations of Convolutional Neural Networks Ram S Iyeret.al paper code -
2025-6-30 HalCECE: A Framework for Explainable Hallucination Detection through Conceptual Counterfactuals in Image Captioning Maria Lymperaiouet.al paper -
<summary>detail</summary>Journal ref:The World Conference on eXplainable Artificial Intelligence (XAI) 2025
2025-6-17 Towards Desiderata-Driven Design of Visual Counterfactual Explainers Sidney Benderet.al paper - -
2025-6-4 Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Bulat Maksudovet.al paper - -
2025-5-16 Analysis of Customer Journeys Using Prototype Detection and Counterfactual Explanations for Sequential Data Keita Kinjoet.al paper - -
2025-4-12 From Visual Explanations to Counterfactual Explanations with Latent Diffusion Tung Luuet.al paper -
<summary>detail</summary>2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
2025-4-7 Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohlandet.al paper - -

counterfact

Date Title Authors PDF Code Comments
2025-9-29 Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts Michal Golovanevskyet.al paper - -
2025-7-23 NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database Weizhi Feiet.al paper - -
2025-7-13 An Exploration of Knowledge Editing for Arabic Basel Mousiet.al paper - -
2025-6-8 MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems Peiru Yanget.al paper - -
2025-5-31 BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning Ercong Nieet.al paper code
<summary>detail</summary>ACL 2025
2025-5-29 A Reality Check on Context Utilisation for Retrieval-Augmented Generation Lovisa Hagströmet.al paper -
<summary>detail</summary>ACL 2025
2025-5-24 REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing Haitian Zhonget.al paper - -
2025-5-23 Model Editing with Graph-Based External Memory Yash Kumar Atriet.al paper - -
2025-5-21 Keys to Robust Edits: from Theoretical Insights to Practical Advances Jianhao Yanet.al paper code
<summary>detail</summary>ACL 2025 Main Conference
2025-5-19 Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning Xiaoyu Yanget.al paper - -
2025-2-27 Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers Zixuan Gonget.al paper - -
2025-2-19 CoME: An Unlearning-based Approach to Conflict-free Model Editing Dahyun Junget.al paper -
<summary>detail</summary>NAACL 2025 main conference
2025-2-16 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Liet.al paper code
<summary>detail</summary>AAAI25
2024-12-4 Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization Phillip Guoet.al paper - -
2024-10-11 Untying the Reversal Curse via Bidirectional Language Model Editing Jun-Yu Maet.al paper - -

counterfact*

Date Title Authors PDF Code Comments
2025-9-30 CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations Shangshu Qianet.al paper -
<summary>detail</summary>Accepted by EuroSys 2026
2025-9-30 ACE: Adapting sampling for Counterfactual Explanations Margarita A. Guerreroet.al paper - -
2025-9-30 Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics Ahmad-Reza Ehyaeiet.al paper - -
2025-9-29 MuPlon: Multi-Path Causal Optimization for Claim Verification through Controlling Confounding Hanghui Guoet.al paper - -
2025-9-29 Quadratic Programming Approach for Nash Equilibrium Computation in Multiplayer Imperfect-Information Games Sam Ganzfriedet.al paper - -
2025-9-29 Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement Chenyu Linet.al paper code -
2025-9-29 Combining an experimental study with external data: study designs and identification strategies Lawson Unget.al paper -
<summary>detail</summary>This is an update of the original submission
2025-9-29 How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation Ruohao Guoet.al paper -
<summary>detail</summary>EMNLP 2025 main conference
2025-9-29 Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization Faruk Alpayet.al paper - -
2025-9-29 Segmentor-Guided Counterfactual Fine-Tuning for Image Synthesis Tian Xiaet.al paper code
<summary>detail</summary>MICCAI 2025
2025-9-29 Evaluating Spatiotemporal Consistency in Automatically Generated Sewing Instructions Luisa Geigeret.al paper - -

debias learning

Date Title Authors PDF Code Comments
2025-9-21 GRADIEND: Feature Learning within Neural Networks Exemplified through Biases Jonathan Drechselet.al paper - -
2025-9-18 Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge Zhuo Liuet.al paper code
<summary>detail</summary>Under review
2025-9-5 FairReason: Balancing Reasoning and Social Bias in MLLMs Zhenyu Panet.al paper -
<summary>detail</summary>the Trustworthy FMs workshop in ICCV 2025
2025-9-1 Uncertainty Quantification for Ranking with Heterogeneous Preferences Jianqing Fanet.al paper - -
2025-8-14 DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System Wencai Yeet.al paper -
<summary>detail</summary>Accepted by CIKM 2025
2025-8-10 Multi-Treatment-DML: Causal Estimation for Multi-Dimensional Continuous Treatments with Monotonicity Constraints in Personal Loan Risk Optimization Kexin Zhaoet.al paper - -
2025-8-9 A Comparative Study of Feature Selection in Tsetlin Machines Vojtech Halenkaet.al paper -
<summary>detail</summary>submitted to SGAI-2025: The 45th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
2025-8-5 Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance Liya Guoet.al paper - -
2025-7-25 Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data Eric V. Stroblet.al paper -
<summary>detail</summary>R code is available at github
2025-7-16 Targeted Deep Architectures: A TMLE-Based Framework for Robust Causal Inference in Neural Networks Yi Liet.al paper - -
2025-7-11 PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection Mahdiyar Molahasaniet.al paper code
<summary>detail</summary>ICCV 2025
2025-6-8 Correcting for Position Bias in Learning to Rank: A Control Function Approach Md Aminul Islamet.al paper - -
2025-6-5 EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition Yi-Cheng Linet.al paper - -
2025-6-4 Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing Massimiliano Ciranniet.al paper -
<summary>detail</summary>18 Pages
2025-6-3 Visualization for interactively adjusting the de-bias effect of word embedding Arisa Suginoet.al paper - -

debiasing

Date Title Authors PDF Code Comments
2025-9-29 Mitigating Biases in Language Models via Bias Unlearning Dianqing Liuet.al paper -
<summary>detail</summary>EMNLP 2025 MainConference
2025-9-29 Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics Sean McGrathet.al paper - -
2025-9-29 GESA: Graph-Enhanced Semantic Allocation for Generalized, Fair, and Explainable Candidate-Role Matching Rishi Ashish Shahet.al paper - -
2025-9-29 NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation Penghai Zhaoet.al paper code
<summary>detail</summary>NAIPv2 complements our earlier work NAIPv1 (arXiv:2408
2025-9-29 Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation Valentyn Melnychuket.al paper - -
2025-9-29 Beyond Genre: Diagnosing Bias in Music Embeddings Using Concept Activation Vectors Roman B. Gebhardtet.al paper -
<summary>detail</summary>ISMIR 2025
2025-9-29 Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset Taisei Yamamotoet.al paper -
<summary>detail</summary>EMNLP 2025 main
2025-9-28 Semantic-guided Diverse Decoding for Large Language Model Weijie Shiet.al paper - -
2025-9-28 Two-Stage Nuisance Function Estimation for Causal Mediation Analysis Chang Liuet.al paper - -
2025-9-28 FairViT-GAN: A Hybrid Vision Transformer with Adversarial Debiasing for Fair and Explainable Facial Beauty Prediction Djamel Eddine Boukhariet.al paper - -
2025-9-28 Open-DeBias: Toward Mitigating Open-Set Bias in Language Models Arti Raniet.al paper code -
2025-9-28 LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders Boyu Hanet.al paper code -
2025-9-27 Debiasing the Influence of Demographic and Appearance Cues in Social Engineering via Role-Taking: Negative Results Tourjana Islam Suptiet.al paper -
<summary>detail</summary>31 Pages
2025-9-27 CREPE: Controlling Diffusion with Replica Exchange Jiajun Heet.al paper - -

debias

Date Title Authors PDF Code Comments
2025-9-7 Treatment effect extrapolation in the presence of unmeasured confounding Stephanie Rileyet.al paper - -
2025-8-23 Boosting Temporal Sentence Grounding via Causal Inference Kefan Tanget.al paper code
<summary>detail</summary>Accepted by ACM MM 2025
2025-8-22 Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection Ankan Mullicket.al paper -
<summary>detail</summary>EMNLP 2025 Main Conference Full Paper
2025-8-21 The Devil is in the EOS: Sequence Training for Detailed Image Captioning Abdelrahman Mohamedet.al paper -
<summary>detail</summary>COLM 2025
2025-8-14 Debiasing Multimodal Large Language Models via Penalization of Language Priors YiFan Zhanget.al paper - -
2025-8-13 Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMs Zara Siddiqueet.al paper -
<summary>detail</summary>Submitted to AACL 2025
2025-8-8 LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations at eBay Soumik Deyet.al paper - -

shortcut&block

Date Title Authors PDF Code Comments
2025-9-19 TinyEcoWeedNet: Edge Efficient Real-Time Aerial Agricultural Weed Detection Omar H. Khateret.al paper - -
2025-6-10 FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training Fuhan Caiet.al paper - -
2025-4-18 One Jump Is All You Need: Short-Cutting Transformers for Early Exit Prediction with One Jump to Fit All Exit Levels Amrit Diggavi Seshadriet.al paper - -
2025-4-1 Bi-Grid Reconstruction for Image Anomaly Detection Huichuan Huanget.al paper - -
2025-3-28 Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection Jiajie Quanet.al paper code -
2025-1-5 PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization Assaf Lahianyet.al paper -
<summary>detail</summary>Journal ref:in IEEE Access
2024-12-26 Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models Ziqiao Maet.al paper code
<summary>detail</summary>EMNLP 2023 (Findings)
2024-12-19 Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers Rui Dinget.al paper - -
2024-12-2 Demystify Mamba in Vision: A Linear Attention Perspective Dongchen Hanet.al paper code
<summary>detail</summary>NeurIPS 2024
2024-11-22 Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets Tianxiao Zhanget.al paper code -
2024-10-23 Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation Baoyu Jinget.al paper -
<summary>detail</summary>Accepted by CIKM’2024
2024-10-3 Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction Amrit Diggavi Seshadriet.al paper - -

shortcut&mitigate

Date Title Authors PDF Code Comments
2025-9-29 Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs Yuanshuai Liet.al paper - -
2025-9-29 Deepfake Detection that Generalizes Across Benchmarks Andrii Yermakovet.al paper - -
2025-9-27 ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding Jialiang Kanget.al paper code
<summary>detail</summary>NeurIPS 2025
2025-9-23 Debugging Concept Bottleneck Models through Removal and Retraining Eric Enouenet.al paper - -
2025-9-16 Spiking Vocos: An Energy-Efficient Neural Vocoder Yukun Chenet.al paper code -
2025-9-10 RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts Lauren H. Cookeet.al paper - -
2025-9-9 MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification Patrick Wienholtet.al paper code -
2025-9-3 Multi Attribute Bias Mitigation via Representation Learning Rajeev Ranjan Dwivediet.al paper code
<summary>detail</summary>ECAI 2025 (28th European Conference on Artificial Intelligence)
2025-8-27 Self-Rewarding Vision-Language Model via Reasoning Decomposition Zongxia Liet.al paper - -
2025-8-26 Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning Songtao Jianget.al paper - -
2025-8-6 Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis Menghua Jianget.al paper - -
2025-7-29 Predict Patient Self-reported Race from Skin Histological Images Shengjia Chenet.al paper code
<summary>detail</summary>the MICCAI Workshop on Fairness of AI in Medical Imaging (FAIMI)
2025-7-16 Wavelet-based Decoupling Framework for low-light Stereo Image Enhancement Shuangli Duet.al paper code -
2025-7-10 Rethinking Query-based Transformer for Continual Image Segmentation Yuchen Zhuet.al paper code
<summary>detail</summary>This work is accepted by CVPR 2025
2025-7-10 SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Jiaxin Huanget.al paper code -

shortcut learning

Date Title Authors PDF Code Comments
2025-9-30 UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression Yuan Zhaoet.al paper code
<summary>detail</summary>manuscript
2025-9-29 VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models Christos Ziakaset.al paper - -
2025-9-29 Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization Tian Qinet.al paper -
<summary>detail</summary>EMNLP 2025 Camera Ready
2025-9-29 Fidelity-Aware Data Composition for Robust Robot Generalization Zizhao Tonget.al paper - -
2025-9-29 Training Agents Inside of Scalable World Models Danijar Hafneret.al paper code
<summary>detail</summary>Website: https://danijar
2025-9-28 R-Capsule: Compressing High-Level Plans for Efficient Large Language Model Reasoning Hongyu Shanet.al paper code -
2025-9-28 Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models Yuhui Wanget.al paper - -
2025-9-27 ZeroSiam: An Efficient Siamese for Test-Time Entropy Optimization without Collapse Guohao Chenet.al paper - -
2025-9-26 The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner Zhouqi Huaet.al paper - -
2025-9-25 Towards Minimal Causal Representations for Human Multimodal Language Understanding Menghua Jianget.al paper - -
2025-9-25 Shortcut Flow Matching for Speech Enhancement: Step-Invariant flows via single stage training Naisong Zhouet.al paper - -
2025-9-23 Revisiting Performance Claims for Chest X-Ray Models Using Clinical Context Andrew Wanget.al paper - -

shortcut

Date Title Authors PDF Code Comments
2025-9-30 The Silent Judge: Unacknowledged Shortcut Bias in LLM-as-a-Judge Arash Marioriyadet.al paper -
<summary>detail</summary>9 Pages
2025-9-30 Unspoken Hints: Accuracy Without Acknowledgement in LLM Reasoning Arash Marioriyadet.al paper -
<summary>detail</summary>5 Pages
2025-9-29 Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection Kaiqing Linet.al paper - -
2025-9-29 FlashI2V: Fourier-Guided Latent Shifting Prevents Conditional Image Leakage in Image-to-Video Generation Yunyang Geet.al paper code -
2025-9-27 Audio-centric Video Understanding Benchmark without Text Shortcut Yudong Yanget.al paper code
<summary>detail</summary>Accepted for publication in the Proceedings of EMNLP 2025 (Main Conference)
2025-9-27 Seeing Symbols, Missing Cultures: Probing Vision-Language Models’ Reasoning on Fire Imagery and Cultural Meaning Haorui Yuet.al paper - -

fairness

Date Title Authors PDF Code Comments
2025-9-30 Fairness Testing in Retrieval-Augmented Generation: How Small Perturbations Reveal Bias in Small Language Models Matheus Vinicius da Silva de Oliveiraet.al paper - -
2025-9-30 Efficient Approximation Algorithms for Fair Influence Maximization under Maximin Constraint Xiaobin Ruiet.al paper - -
2025-9-30 DeepProv: Behavioral Characterization and Repair of Neural Networks via Inference Provenance Graph Analysis Firas Ben Hmidaet.al paper - -
2025-9-30 FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation Xenia Heilmannet.al paper - -
2025-9-30 A systematic comparison of Large Language Models for automated assignment assessment in programming education: Exploring the importance of architecture and vendor Marcin Jukiewiczet.al paper - -
2025-9-30 Mind the Gap: A Review of Arabic Post-Training Datasets and Their Limitations Mohammed Alkhowaiteret.al paper - -
2025-9-30 The Grammar of FAIR: A Granular Architecture of Semantic Units for FAIR Semantics, Inspired by Biology and Linguistics Lars Vogtet.al paper - -
2025-9-30 Institutional Policy Pathways for Supporting Research Software: Global Trends and Local Practices Michelle Barkeret.al paper - -
2025-9-30 AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models Kai Liet.al paper code
<summary>detail</summary>Technical Report
2025-9-30 Tuning the Tuner: Introducing Hyperparameter Optimization for Auto-Tuning Floris-Jan Willemsenet.al paper - -
2025-9-30 Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness Ahmad-Reza Ehyaeiet.al paper - -
2025-9-30 From Fragile to Certified: Wasserstein Audits of Group Fairness Under Distribution Shift Ahmad-Reza Ehyaeiet.al paper - -
2025-9-30 Beyond Overall Accuracy: Pose- and Occlusion-driven Fairness Analysis in Pedestrian Detection for Autonomous Driving Mohammad Khoshkdahanet.al paper -
<summary>detail</summary>\c{opyright} 2025 IEEE
2025-9-30 A Multi-Language Object-Oriented Programming Benchmark for Large Language Models Shuai Wanget.al paper code -
2025-9-30 From Competition to Centralization: The Oligopoly in Ethereum Block Building Auctions Fei Wuet.al paper -
<summary>detail</summary>Accepted by ECAI 2025

machine unlearning

Date Title Authors PDF Code Comments
2025-9-30 Ascent Fails to Forget Ioannis Mavrothalassitiset.al paper -
<summary>detail</summary>NeurIPS 2025
2025-9-30 Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions Junbeom Kimet.al paper -
<summary>detail</summary>ACM Class:I
2025-9-29 Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space Xiang Zhanget.al paper - -
2025-9-29 SMS: Self-supervised Model Seeding for Verification of Machine Unlearning Weiqi Wanget.al paper - -
2025-9-29 Fast Exact Unlearning for In-Context Learning Data for LLMs Andrei I. Muresanuet.al paper - -
2025-9-28 Stable Forgetting: Bounded Parameter-Efficient Unlearning in LLMs Arpit Garget.al paper -
<summary>detail</summary>In Submission
2025-9-28 Unlearning Isn’t Invisible: Detecting Unlearning Traces in LLMs from Model Outputs Yiwei Chenet.al paper - -
2025-9-28 Preserving Cross-Modal Stability for Visual Unlearning in Multimodal Scenarios Jinghan Xu Yuyang Zhang Qixuan Cai Jiancheng Chen Keqiu Liet.al paper - -
2025-9-27 Dual-Space Smoothness for Robust and Balanced LLM Unlearning Han Yanet.al paper -
<summary>detail</summary>A unified framework that enforces dual-space smoothness in representation and parameter spaces to improve robustness and balance unlearning metrics
2025-9-27 Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs Yan Scholtenet.al paper code -
2025-9-26 OFMU: Optimization-Driven Framework for Machine Unlearning Sadia Asifet.al paper -
<summary>detail</summary>Under review at ICLR 2026
2025-9-25 A Unified Framework for Diffusion Model Unlearning with f-Divergence Nicola Novelloet.al paper - -
2025-9-24 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chienet.al paper -
<summary>detail</summary>NeurIPS 2024 Spotlight
2025-9-24 SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning Junkai Chenet.al paper - -