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Alan Ritter

Steering Vision-Language Models for Visual-Contextual Privacy in Location Disclosure
2026 · Chen, Wenyue, Cheng, Yuhan, et al. · arXiv (Cornell University)
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Parallel Universes for Temporal Evaluation and Knowledge Updating in LLMs
2026 · Zheng, Jonathan, Shao, Zirui, et al. · arXiv (Cornell University)
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Soft Token Alignment for Cross-Lingual Reasoning
2026 · He, Jiayi, Park, Jungsoo, et al. · arXiv (Cornell University)
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Learning to Route Languages for Multilingual Policy Optimization
2026 · Guo, Geyang, Wakaki, Hiromi, et al. · arXiv (Cornell University)
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Safe and Scalable Web Agent Learning via Recreated Websites
2026 · Chae, Hyungjoo, Park, Jungsoo, et al. · arXiv (Cornell University)
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Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
2026 · Yang, Ruixin, Mendes, Ethan, et al. · arXiv (Cornell University)
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Making Expert Reasoning Learnable with Self-Distillation
2026 · Mendes, Ethan, Park, Jungsoo, et al. · arXiv (Cornell University)
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GeoRC: A Benchmark for Geolocation Reasoning Chains
2026 · Talreja, Mohit, Diao, Joshua, et al. · arXiv (Cornell University)
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Supporting Informed Self-Disclosure: Design Recommendations for Presenting AI-Estimates of Privacy Risks to Users
2026 · Krsek, Isadora, Ye, Meryl, et al. · arXiv (Cornell University)
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Auditing Language Model Unlearning via Information Decomposition
2026 · Goel, Anmol, Ritter, Alan, et al. · arXiv (Cornell University)
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Semantic Differentiation for Tackling Challenges in Watermarking Low-Entropy Constrained Generation Outputs
2026 · Le, Nghia T., Ritter, Alan, et al. · arXiv (Cornell University)
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LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training
2026 · Minju Gwak, Minseo Kwak, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Investigating and Alleviating Harm Amplification in LLM Interactions
2026 · Ruohao Guo, Wei Xu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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GeoRC: A Benchmark for Geolocation Reasoning Chains
2026 · Mohit Talreja, Joshua Diao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
Who Pays More for Safety? Measuring the Disparate Cost of Safety Alignment across Languages
2026 · Chanwoong Yoon, Jungsoo Park, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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CoCoA: Context-Conditional Cultural Alignment for Large Language Models
2026 · Kyungdon Lee, Wei Xu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 17
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