Mitigation

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Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Mitigation.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Mitigation.

77 papers

Latest in Mitigation

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Does Deeper Reasoning Compromise Alignment? Revealing and Mitigating of Alignment Collapse in Large Reasoning Models
Sep 8, 2026Yu-Hang Wu, Yu-Jie Xiong, Henghua Zhang +3Large Reasoning Models Safety Alignment
Prevalence calibration as shortcut mitigation
Sep 7, 2026Mohamed Amine Kina, Eike PetersenShortcuts Prevalence
Overfitting Mitigation via Singular Value Decomposition in Minimum Bayes Risk Decoding
Sep 1, 2026Riza Setiawan Soetedjo, Yusuke Sakai, Hidetaka Kamigaito +2Singular Value Decomposition Constrained Decoding Strategies
A Network Science Perspective on Evaluating Deep Graph Generative Models
Sep 1, 2026Tianrui Mao, Abele Malan, Megha Khosla +2Complex Networks Generative Models
Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment
Aug 11, 2026Yan Wang, Chuan-Xian RenMessage Passing Neural Networks Wireless Resource Allocation
Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools
Aug 7, 2026Afreen Alam, Evgenija Popchanovska, Ana Gjorgjevikj +4Artificial Intelligence Risk Large Language Model Safety
Zero Gap Is Not Restoration: Stratified Per-Question Probability Evaluation and Step-wise Mitigation of Benchmark Contamination
Aug 7, 2026Ruijie Hou, Yueyang Jiao, Zhao Wang +1Mitigation Decision-Aware Evaluation
Failing Gracefully: Mitigating Impact of Inevitable Robot Failures
Aug 5, 2026Duc M. Nguyen, Saad A. Ghani, Andrew Marshall +3Robots Safe Motion Planning
Conformity Mitigations in Large Language Models Lie on a Single Resistance-Receptivity Frontier
Aug 3, 2026Zafar Hussain, Kristoffer NielboMmlu-Pro Multi-Agent Large Language Model Systems
CheckOne: Lightweight Fault Detection and Mitigation for Vision Transformers
Aug 3, 2026Mohammad Hasan Ahmadilivani, Sven-Markus Loorits, Jaan RaikSelf-Supervised Vision Transformers Vision Transformer
Deep Learning for Cyber Threat Detection and Mitigation in Healthcare-IoT
Jul 31, 2026Mirza AkhiInternet Of Thing Temporal Convolutional Networks
Origins and mitigation of double descent in reduced order modeling
Jul 29, 2026Andrei A. Klishin, J. Nathan Kutz, Krithika ManoharSparse Observations Low-Dimensional Structure
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
Jul 21, 2026Yongsen Zheng, Ruilin Xu, Guohua Wang +2Recommender Systems User Modeling
When LLMs Over-Answer: Measuring and Mitigating Quality Issues in LLM-Based Hardware Description Language Question Answering
Jul 19, 2026Ziteng Hu, Jiachi Chen, Wenhao Lv +2Hardware Description Languages Electronic Design Automation
UniNDM: A Unified Noise-driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation
Jul 18, 2026Yao Huang, Yitong Sun, Huanran Chen +8Text-To-Image Diffusion Models Text-To-Image
Active Real-World Factor-Based Evaluation for Generalist Robot Policies
Jul 16, 2026Andrew Liao, Hanchen Cui, Karthik Desingh +1Real-World Challenges
Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models
Jul 8, 2026Sergi Masip, Alicja Dobrzeniecka, Jonathan Swinnen +4Efficient Continual Learning Self-Supervised Learning
CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling
Jul 6, 2026Zuwang He, Shihao Shu, Yuli Qu +8Rise Heterogeneous Treatment Effects
COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies
Jun 29, 2026Chen Frydman, Aviram Zilberman, Rubin Krief +6Mitigation Orchestration
Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors
Jun 29, 2026Maxime Riché, Daniel Tan, Vili Kohonen +1Misalignment Mitigation
From Tool Connection to Execution Control: Benchmarking Security Invariants in MCP-Style Agent Runtimes
Jun 27, 2026Ting LiuModel Context Protocol Runtime Enforcement
Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling
Jun 26, 2026Changze Lv, Zhenghua Wang, Yiran Ding +9Rotary Position Embedding Retrieval Benchmarks
Mitigating LLM-based p-Hacking by Preregistering for the Next LLM
Jun 26, 2026Maria Thomas, Kristina Gligoric, Nihar B. ShahLarge Language Mitigation
How Surprising Is Historical Italian to Language Models? Tokenization Tax, Comprehension Tax, and a Simple Mitigation
Jun 25, 2026Maria LevchenkoWord Error Rate Mitigation
A Survey of Toxicity Detection and Mitigation Strategies for Multilingual Language Models
Jun 24, 2026Soham Dan, Himanshu Beniwal, Thomas HartvigsenMultilingual Safety Large Language Model Safety
Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification
Jun 21, 2026Milton Mondal, Sushovan Chanda, Mohamad Mahdi Alawieh +6Quantum Neural Networks Artificial Neural Networks
Data Bias Mitigation under Coverage Constraints & The Price of Fairness
Jun 18, 2026Bruno Scarone, Alfredo Viola, Renée J. MillerFairness-Aware Learning Fairness
Gender Bias in LLM Hiring Decisions: Evidence from a Japanese Context and Evaluation of Mitigation Strategies
Jun 17, 2026Serena A. Hoffstedde, Machiko Hirota, Akshara Nadayanur Sathis Kanna +4Large Language Model Bias Gender
Escape from Delusional Echo Trap: Symmetry Breaking, Stochastic Dynamics and Mathematical Mitigation Strategies for Algorithmic Sycophancy
Jun 16, 2026Sayantari Ghosh, Saumik Bhattacharya, Partha Pratim ChakrabartiSycophancy Belief
ClayBuddy: A Framework, Evaluation, & Mitigation of Coding Agent Failures
Jun 13, 2026Kenneth Ge, Andre AssisCoding Agents Agent Harness
Recalling Too Well: Sycophancy Evaluation and Mitigation in Memory-Augmented Models
Jun 9, 2026Shelly Bensal, Axel Magnuson, Aparna Balagopalan +1Sycophancy Large Language Model Memory
Context-Fractured Decomposition Attacks on Tool-Using LLM Agents: Exploiting Artifact Provenance Gaps
Jun 8, 2026Xiaofeng Lin, Yukai Yang, Daniel Guo +3Step-Level Failure Attribution Llm-Based Agent
AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation
Jun 6, 2026Bilal Hussain, Muhammad Bilal, Tan Li +6Cyber-Physical System Edge Computing
On Low-Bit Quantization Errors in Speaker Verification: Diagnostic and Mitigation
Jun 6, 2026Hugo Leguillier, Driss Matrouf, Guillaume Lechien +1Low-Bit Quantization Verification
Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs
Jun 6, 2026Omar Mahmoud, Aly M. Kassem, Thommen George Karimpanal +4Backdoor Attacks Language Model Evasion Attacks
Token Budgets: An Empirical Catalog of 63 LLM-Agent Budget-Overrun Incidents, with an Affine-Typed Rust Mitigation as a Case Study
Jun 2, 2026Sajjad KhanBudgets Orchestration
Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation
Jun 1, 2026Bruce Changlong Xu, Adarsh Kumarappan, Mu ZhouKey-Value Cache Quantization Large Language Model Quantization
RADE: Random Add-Drop Edge as a Regularizer
May 30, 2026Danial Saber, Amirali Salehi-AbariGraph Neural Networks Regularization Methods
Mitigating Hallucination in Vision-Language Models through Barrier-Regulated Adaptive Closed-form Steering
May 28, 2026Soumyadeep Jana, Pulkit Mittal, Sanasam Ranbir SinghRecent Vision-Language Models Visual Grounding
Parameter-Efficient Subspace Decoupling ViT for Mitigating Multi-Task Negative Transfer in Histological Scoring
May 28, 2026Youhan Huang, Jiajun Li, Yilin Fang +2Multi--Task Learning Intrahepatic Cholangiocarcinoma
SAAS: Self-Aware Reinforcement Learning for Over-Search Mitigation in Agentic Search
May 28, 2026Yunbo Tang, Chengyi Yang, Shiyu Liu +4Agentic Search Self-Awareness
Reward Bias Substitution: Single-Axis Bias Mitigations Redirect Optimization Pressure
May 27, 2026Max Lamparth, Daniel Fein, Andreas Haupt +2Bias Detection and Mitigation Mitigation
Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models
May 26, 2026Hayden Helm, Xiaodong Liu, Weiwei YangJailbreak Detection Defence
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models
May 25, 2026Mohammed N. Swileh, Shengli Zhang, Kai LeiSoftware-Defined Networking Adversarial Attack Strategies
Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation
May 24, 2026Yangneng Chen, Jing LiLarge Language Model Hallucination Large Language Model Alignment
How Noisy Poses Break Inverse Dynamics: Analysis and Mitigation for Video-Based Joint Torque Estimation
May 23, 2026Donghyun Kim, Chanyoung Kim, Eunseo Jeong +2Inverse Dynamics Parametric Body Models
Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation
May 21, 2026Xiaotian Liu, Shuyuan Shang, Xiaopeng Wang +2Classical Numerical Solver Turbulence
Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets
May 21, 2026Ioannis J. Vourganas, Anna Lito MichalaExplainability Intrusion Detection
Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation
May 19, 2026Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +2Medical Imaging Datasets Medical Imaging
Improving Spatio-Temporal Residual Error Propagation by Mitigating Over-Squashing
May 18, 2026Seyed Mohamad Moghadas, Esther Rodrigo Bonet, Bruno Cornelis +1Autoregressive Model Error Propagation
Guided Diffusion Sampling for Precipitation Forecast Interventions
May 14, 2026Ayumu Ueyama, Kazuhiko Kawamoto, Hiroshi KeraPrecipitation Artificial Intelligence Weather Models
Locale-Conditioned Few-Shot Prompting Mitigates Demonstration Regurgitation in On-Device PII Substitution with Small Language Models
May 13, 2026Anuj Sadani, Deepak KumarSmall Large Language Models Surrogates
Shortcut Mitigation via Spurious-Positive Samples
May 13, 2026Phuong Quynh Le, Jörg Schlötterer, Sari Sadiya +2Mitigation Regularization Methods
Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
May 12, 2026Matthew D. Laws, Alina Oprea, Cristina Nita-RotaruArtificial Intelligence Governance Byzantine-Robust Aggregation
Security Risks in Tool-Enabled AI Agents: A Systematic Analysis of Privileged Execution Environments
May 10, 2026Hardik GoelArtificial Intelligence Risk Artificial Intelligence Agents
On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models
May 10, 2026Yule Liu, Yilong Yang, Jiale Teng +11Text-To-3D Generation Representational Geometry
Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
May 8, 2026Md Sazzad Hossen, Avimanyu SahooGraph Neural Networks Text-Attributed Graph
Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models
May 8, 2026Meng Zheng, Samhita Marri, Anwesa Choudhuri +6Pre-Trained Vision-Language Models Action Generation
Housing Potential Common Data Model and City Digital Twin
May 7, 2026Megan Katsumi, Mark Fox, Anderson Wong +1Housing Attributes Digital Twins
A Knowledge-Driven LLM-Based Decision-Support System for Explainable Defect Analysis and Mitigation Guidance in Laser Powder Bed Fusion
May 1, 2026Basit Mahmud Shahriar, Md Habibor RahmanAdditive Manufacturing Decision Support

Sep 8, 2026 · cs.AIJ/K move · Enter open · S save

Does Deeper Reasoning Compromise Alignment? Revealing and Mitigating of Alignment Collapse in Large Reasoning Models

Yu-Hang Wu, Yu-Jie Xiong, Henghua Zhang, Bairui Zhang+2

The emergence of Chain-of-Thought (CoT) has established a robust foundation for Large Reasoning Models (LRMs). While deep reasoning is widely believed to enhance safety alignment, the stability of alignment mechanisms under extended reasoning remains underexplored. This paper challenges the prevailing view by revealing a critical vulnerability: Deep Reasoning May Induce Alignment Collapse. To rigorously quantify this phenomenon, we propose the Alignment Loss Rate (ALR) metric. Our experiments demonstrate that as reasoning depth increases, ALR rises significantly, indicating a severe degradation in model robustness against external perturbations. Capitalizing on this instability, a novel jailbreaking paradigm, Reasoning Trap (RT), is proposed. RT induces the model into extended reasoning to amplify the impact of adversarial attacks, leading to a sharp decline in safety capabilities. To elucidate the mechanism behind this collapse, we identify Attention Dilution as the root cause, arising from the competition for attention between the extended reasoning process and the original input. To mitigate this, Reasoning Residual Alignment (RRA), a lightweight defense strategy that dynamically re-emphasizes the input via residual connections integrated with the reasoning process.

Large Reasoning Models Safety Alignment Chain-Of-Thought Value Alignment Mitigation

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