Overview

Language model robustness asks whether a model gives dependable answers when meaning-preserving changes, noise, misleading context, or adversarial inputs challenge it. Evaluations use paraphrases, reordered answer choices, typos, multilingual and dialectal text, noisy retrieval, and multi-turn interactions, often measuring per-example consistency as well as accuracy. Approaches include perturbation and adversarial training, consistency-based fine-tuning, calibration and selective prediction, and symbolic verification or mechanistic analysis of model internals. A central tension is that strong performance on standard benchmarks often hides fragile behavior, while fixes that improve stability can reduce clean-task utility, over-refuse, or fail to transfer across tasks and deployment settings.

Latest papers

CardsList

495 papers53 papers in the last four weeks, down 4% on the four weeks before. 0.3% of all new papers.

  1. Models Know Their Shortcuts: Deployment-Time Shortcut Mitigation

    Apr 14, 2026Jiayi Li, Shijie Tang, Gün Kaynar +2Shortcut LearningLanguage Model Robustness

  2. Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs

    Apr 13, 2026Shreeya Verma Kathuria, Nitin Mayande, Sharookh Daruwalla +2Text ClusteringText Classification

  3. A Robust Evaluation of Probe Robustness: Lessons for Reliable OOD Uncertainty Quantification

    Apr 13, 2026Joe Stacey, Hadas Orgad, Kentaro Inui +2LLM EvaluationUncertainty Quantification

  4. Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval

    Apr 13, 2026Hao Xu, Rite Bo, Fausto Giunchiglia +2In-Context LearningLanguage Model Robustness

  5. CARO: Chain-of-Analogy Reasoning Optimization for Robust Content Moderation

    Apr 12, 2026Bingzhe Wu, Haotian Lu, Yuchen MouAnalogical Reasoning for Language ModelsContent Moderation

  6. VeriSim: A Configurable Framework for Stress-Testing Medical AI Under Patient Communication Noise

    Apr 12, 2026Sina Mansouri, Mohit Marvania, Vibhavari Ashok Shihorkar +5HealthcareLLM Reliability

  7. Anchored Sliding Window: Toward Robust and Imperceptible Linguistic Steganography

    Apr 10, 2026Ruiyi Yan, Shiao Meng, Yugo MurawakiLanguage Model SteganographyLanguage Model Robustness

  8. PerMix-RLVR: Preserving Persona Expressivity under Verifiable-Reward Alignment

    Apr 10, 2026Jihwan Oh, Soowon Oh, Murad Aghazada +3Personalized Language Model AlignmentLanguage Model Robustness

  9. Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning

    Apr 10, 2026Taojie Zhu, Dongyang Xu, Ding Zou +4LLM Fine-TuningRL for Language Model Reasoning

  10. Activation Steering for Aligned Open-ended Generation without Sacrificing Coherence

    Apr 9, 2026Niklas Herbster, Martin Zborowski, Alberto Tosato +2LLM Safety AlignmentLanguage Model Robustness

  11. Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs

    Apr 8, 2026Yue Huang, Haomin Zhuang, Jiayi Ye +6LLM GuardrailsLLM Safety Alignment

  12. DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects

    Apr 7, 2026Jason Lucas, Matt Murtagh, Ali Al-Lawati +3Fake News DetectionDialect Bias in Language Models

  13. Individual and Combined Effects of English as a Second Language and Typos on LLM Performance

    Apr 6, 2026Serena Liu, Yutong Yang, Prisha Sheth +9Language Model RobustnessLLM Evaluation

  14. Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition

    Apr 6, 2026Abu Noman Md Sakib, Zhensen Wang, Merjulah Roby +1Explanation StabilityExplainability Evaluation

  15. Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression

    Apr 5, 2026Lingjie Zeng, Xiaofan Chen, Yanbo Wang +1CoT CompressionLLM Compression

  16. Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction

    Apr 4, 2026Aisvarya Adeseye, Jouni Isoaho, Adeyemi AdeseyeLong-Context Reasoning in Language ModelsParallel Reasoning in Language Models

  17. Fragile Reasoning: A Mechanistic Analysis of LLM Sensitivity to Meaning-Preserving Perturbations

    Apr 2, 2026Shou-Tzu Han, Rodrigue Rizk, KC SantoshLanguage Model RobustnessLLM Reasoning

  18. Reasoning Shift: How Context Silently Shortens LLM Reasoning

    Apr 1, 2026Gleb Rodionov, Roman Garipov, George YakushevLanguage Model RobustnessLLM Context Management

  19. Distributionally Robust Token Optimization in RLHF

    Mar 27, 2026Yeping Jin, Jiaming Hu, Ioannis Ch. PaschalidisLanguage Model RobustnessReasoning Consistency in Language Models

  20. When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models

    Mar 26, 2026Binesh Sadanandan, Vahid BehzadanPrompt SensitivityLLM Prompting

  21. Robust Reasoning Benchmark

    Mar 26, 2026Pavel Golikov, Evgenii Opryshko, Gennady Pekhimenko +1Language Model RobustnessLLM Evaluation