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Focuses on research that actively explores methods and strategies to ensure language models' outputs align with human values, ethics, and intentions, constituting a significant portion of the paper's content.
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 The ORCA Benchmark: Evaluating Real-World Calculation Accuracy in Large Language Models Claudia Herambourg Dawid Siuda Anna Szczepanek Julia Kopczyńska Joao R. L. Santos Wojciech Sas Joanna Śmietańska-Nowak | |||
 The Ouroboros of Benchmarking: Reasoning Evaluation in an Era of Saturation İbrahim Ethem Deveci Duygu Ataman | |||
 CodeClash: Benchmarking Goal-Oriented Software Engineering John Yang Kilian Lieret Joyce Yang Carlos E. Jimenez Ofir Press Ludwig Schmidt Diyi Yang | |||
 IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation Bosi Wen Yilin Niu Cunxiang Wang Pei Ke Xiaoying Ling Ying Zhang Aohan Zeng Hongning Wang Minlie Huang | |||
 Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs Mina Taraghi Yann Pequignot Amin Nikanjam Mohamed Amine Merzouk Foutse Khomh | |||
 CodeAlignBench: Assessing Code Generation Models on Developer-Preferred Code Adjustments Forough Mehralian Ryan Shar James R. Rae Alireza Hashemi | |||
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