Who cites Zhi-Rui Tam
- Lost in Formatting: How Output Formats Skew LLM Performance on Information ExtractionConference of the European Chapter of the Association for Computational Linguistics (EACL)Rishi Ravikumar, Nuhu Ibrahim, Riza Batista-Navarro2026 · 2 citations
- OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context GenerationFindings of the Association for Computational LinguisticsHanning Zhang, Juntong Song, Juno Zhu, et al.2026 · 2 citations
- Quantifying the Impact of Structured Output Format on Large Language Models through Causal InferenceFindings of the Association for Computational LinguisticsHan Yuan, Yue Zhao, Li Zhang, et al.2026 · 2 citations
- AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular DataarXiv:2507.18442Rana Alshaikh, Israa Alghanmi, Shelan Jeawak2025 · 2 citations
- AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
- Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
- Chat-Ghosting: Methods for Auto-Completion in Dialog SystemsConference of the European Chapter of the Association for Computational Linguistics (EACL)Anubhab Mandal, Sandeep Mishra, Bishal Santra, et al.2026 · 1 citation
- Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiting Shen, Kun Li, Wei Zhou, et al.2026 · 1 citation
- Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved LanguagesLanguage Resources and Evaluation Conference (LREC)Annika Simonsen, Mathias Stenlund, Lars Bungum, et al.2026 · 1 citation
- DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning CollectionsFindings of the Association for Computational LinguisticsHaebin Shin, Lei Ji, Xiao Liu, et al.2026
- How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
- Language-Aware Token Boosting: LLM Language Confusion Reduction Without TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng2026
- Limited Linguistic Diversity in Embodied AI DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, et al.2026
- Measuring Distribution Shift in User Prompts and Its Effects on LLM PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL)Parker Seegmiller, Sarah Masud Preum2026
- 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
- Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningLanguage Resources and Evaluation Conference (LREC)Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026
- UNSC-Bench: Evaluating LLM Diplomatic Role-Playing Through UN Security Council Vote PredictionWorkshop on Multilingual Multicultural EvaluationAyush Nangia, Aman Gokrani, Ruggero Marino Lazzaroni2026
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