Who cites Zico Kolter
- TinyAttack: Exploring Stylistic Vulnerabilities in Large Language ModelsFindings of the Association for Computational LinguisticsMamta Mamta, Bogdan Grecu, Oana Cocarascu2026 · 1 citation
- Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language ModelsFindings of the Association for Computational LinguisticsWei Zhao, Zhe Li, Yige Li, et al.2026 · 1 citation
- Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
- HAMSA: Hijacking Aligned Compact Models via Stealthy AutomationarXiv:2508.16484Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, et al.2025 · 1 citation
- Safe at the Margins: A General Approach to Safety Alignment in Low-Resource English Languages — A Singlish Case StudyarXiv:2502.12485Isaac Lim, Shaun Khoo, Roy Ka-Wei Lee, et al.2025 · 1 citation
- A Unified View on Emotion Representation in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Aishwarya Maheswaran, Maunendra Sankar Desarkar2026
- Adaptive Instruction Composition for Automated LLM Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Jesse Zymet, Andy Luo, Swapnil Shinde, et al.2026
- AnswerCarefully: Creating a Dataset for LLM Safety in JapaneseLanguage Resources and Evaluation Conference (LREC)Hisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.2026
- Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
- Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language ModelsFindings of the Association for Computational LinguisticsShuhao Zhang, Yuli Chen, Jiale Han, et al.2026
- Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic SteeringFindings of the Association for Computational LinguisticsWeikang Zhang, Zimo Zhu, Zhichuan Yang, et al.2026
- Boosting Self-Consistency with RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Maria Marina, Daniil Moskovskiy, Sergey Pletenev, et al.2026
- Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking AttacksTransactions of the Association for Computational Linguistics (TACL)Shoumik Saha, Jifan Chen, Sam Mayers, et al.2026
- CachePrune: Teaching LLMs What Not to Follow via KV-Cache EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Wang, Junda Wu, Yu Xia, et al.2026
- CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion ReasoningFindings of the Association for Computational LinguisticsFengyu Zhang, Bin Liu, Jianhua Tao, et al.2026
- Calibrating Inference Time Alignment with Sequence-level Risk AccumulationAnnual Meeting of the Association for Computational Linguistics (ACL)Shanwen Tan, Ziyang Dong, Wei Ju, et al.2026
- Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty EstimationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.2026
- CAP: Controllable Alignment Prompting for Unlearning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaokun Wang, Jinyu Guo, Jingwen Pu, et al.2026
- CSULoRA: Closest Safe Update Low-Rank AdaptationInternational Conference on Natural Language Processing and Artificial Intelligence for Cyber SecurityOleksandr Marchenko, Adelaide Danilov, Aria Nourbakhsh, et al.2026
- Deactivating Refusal Triggers: Understanding and Mitigating Overrefusal in Safety AlignmentWorkshop on Trustworthy NLPZhiyu Xue, Zimo Qi, Guangliang Liu, et al.2026
- Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language ModelsFindings of the Association for Computational LinguisticsBoyang Zhang, Istemi Ekin Akkus, Ruichuan Chen, et al.2026
- Detection of Adversarial Prompts with Model Predictive EntropyFindings of the Association for Computational LinguisticsFranziska Rubenbauer, Sebastian Steindl, Patrick Levi, et al.2026
- DPN-LE: Dual Personality Neuron Localization and Editing for Large Language ModelsFindings of the Association for Computational LinguisticsLifan Zheng, Xue Yang, Jiawei Chen, et al.2026
- EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and MissingnessFindings of the Association for Computational LinguisticsYueru Sun, Yimeng Zhang, Haoyu Gu, et al.2026
- Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization InvarianceAnnual Meeting of the Association for Computational Linguistics (ACL)Ao Wang, Xinghao Yang, Yongshun Gong, et al.2026
- EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection AttacksFindings of the Association for Computational LinguisticsYijie Lu, Manman Zhao, Tianjie Ju, et al.2026
- Evaluating the Impact of SAE-based Language Steering on LLM PerformanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Sebastian Zwirner, Wentao Hu, Koshiro Aoki, et al.2026
- Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MASAnnual Meeting of the Association for Computational Linguistics (ACL)Bingyu Yan, Xiaoming Zhang, JinYu Hou, et al.2026
- Exploring Attention Attractors in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziheng Wang, Zihao Yue, Wenxuan Wang, et al.2026
- FedReFT: Federated Representation Fine-Tuning with All-But-Me AggregationFindings of the Association for Computational LinguisticsFatema Siddika, Md Anwar Hossen, Juan Pablo Munoz, et al.2026
- FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Weng, Jinghuai Zhang, Kunlin Cai, et al.2026
- From Domains to Instances: Dual-Granularity Data Synthesis for LLM UnlearningFindings of the Association for Computational LinguisticsXiaoyu Xu, Minxin Du, Zitong LI, et al.2026
- From Narrow Unlearning to Emergent Misalignment in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, et al.2026
- Gradient-Guided Multi-Judge Prompt OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)ChenZhuo Zhao, Xinda Wang, Pu Zhao, et al.2026
- Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic LimitationsFindings of the Association for Computational LinguisticsHaitong Luo, Fali Wang, Weiyao Zhang, et al.2026
- Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual OrthogonalizationFindings of the Association for Computational LinguisticsMingkuan Zhao, Wentao Hu, Tianchen Huang, et al.2026
- Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety AlignmentFindings of the Association for Computational LinguisticsZhixue Song, Boyan Han, Yiwei Wang, et al.2026
- How Controllable Are Large Language Models? A Unified Evaluation across Behavioral GranularitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Kewei Xu, Haoming Xu, et al.2026
- IndicSteer: Inference-Time Safety Steering for Indic LLMsWorkshop on Stereotypes Across Cultures in Language TechnologiesRuhaib Muhammad, Saahas Vijayalakshmi Rajaram, Suriya Priyan Durairaj2026
- Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Dianyun Wang, Qingsen Ma, Yuhu Shang, et al.2026
- Inverting the Shield: Systematically Generating Safety Tests from Policy SpecificationsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyue Lu, Xianglin Yang, Haijun Liu, et al.2026
- Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
- LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL QueriesFindings of the Association for Computational LinguisticsXuancheng Ren, Shijing Hu, Zhihui Lu, et al.2026
- LLM Beliefs Are in Their HeadsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Corona Mendozza, Anders Søgaard2026
- LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Zhang, Dongxia Wang, Yi Liu, et al.2026
- LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation SteeringarXiv:2607.06845Huan Wu, Ali Emami, Muhammad Furquan Hassan, et al.2026
- LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, et al.2026
- LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz TransportAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Wang, Jingjie Zeng, Yingxu Li, et al.2026
- Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.2026
- MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language ModelsWorkshop on Multilinguality in the Era of Large Language ModelsRishabh Makwana, Mamta Mamta, Deeksha Varshney, et al.2026
- Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability PatchingFindings of the Association for Computational LinguisticsDan Shi, Renren Jin, Zhuowen Han, et al.2026
- Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story GenerationWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Haziq Khalid, Salsabeel Shapsough, Imran Zualkernan2026
- OASIS: Mitigating Harmful Fine-tuning Attacks on LLMs via Orthogonal and Adaptive Safety Alignment StrategyAnnual Meeting of the Association for Computational Linguistics (ACL)Jiayu Tang, Guowei Peng, Qiuhao Xie, et al.2026
- PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware MetacognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Xu, Fuzhen Yang, Liang Lin, et al.2026
- Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language ModelsFindings of the Association for Computational LinguisticsRagib Amin Nihal, Rui Wen, Kazuhiro Nakadai, et al.2026
- PII-VisBench: Evaluating Personally Identifiable Information Safety in Vision Language Models Along a Continuum of VisibilityFindings of the Association for Computational LinguisticsG M Shahariar, Zabir Al Nazi, Md Olid Hasan Bhuiyan, et al.2026
- PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyu Zheng, Yun Zhu, Yuqian Yuan, et al.2026
- Preventing Safety Drift in Large Language Models via Coupled Weight and Activation ConstraintsFindings of the Association for Computational LinguisticsSongping Peng, Zhiheng Zhang, Daojian Zeng, et al.2026
- Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
- Protecting Language Models Against Unauthorized Distillation through Trace RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhang Ma, William Yeoh, Ning Zhang, et al.2026
- Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Wai Man Si, Mingjie Li, Michael Backes, et al.2026
- QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Yitong Zhu, Yuxuan Jiang, Guanxuan Jiang, et al.2026
- RAP-ID: Mechanistic Prompt Injection Detection via Impostor Behavior AnalysisFindings of the Association for Computational LinguisticsYuchen Yang, Lei Peng, Yujie He, et al.2026
- ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Junyao Yang, Chen Qian, Wen Shen, et al.2026
- Representation-Guided Parameter-Efficient LLM UnlearningFindings of the Association for Computational LinguisticsZeguan Xiao, Lang Mo, Yun Chen, et al.2026
- Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Guan Wang, Biyu Zhou, Xuehai Tang, et al.2026
- Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haochun Tang, Yuliang Yan, Jiahua Lu, et al.2026
- Safe-FedLLM: Delving into the Safety of Federated Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.2026
- Safeguarding LLM Fine-tuning via Push-Pull Distributional AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Haozhong Wang, Zhuo Li, Yibo Yang, et al.2026
- SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Ziyi Ni, Huacan Wang, et al.2026
- SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsarXiv:2603.04410Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
- Selective Span-Level Unlearning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaewon Yoon, Dongjun Kim, Hyun-Je Song2026
- SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Sunguk Shin, Fangzhao Wu, Byung-Jun Lee, et al.2026
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