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Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate., , , and . CoRR, (2024)GlobalBench: A Benchmark for Global Progress in Natural Language Processing., , , , , , , , , and 2 other author(s). CoRR, (2023)Learning to Filter Context for Retrieval-Augmented Generation., , , , and . CoRR, (2023)In-IDE Code Generation from Natural Language: Promise and Challenges., , and . CoRR, (2021)A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models., , , and . CoRR, (2022)DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class., , , , , , , and . ACM Trans. Softw. Eng. Methodol., 32 (2): 39:1-39:34 (April 2023)Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System., , , , and . IWSDS, page 153-167. Springer, (2015)Statistical singing voice conversion with direct waveform modification based on the spectrum differential., , , , and . INTERSPEECH, page 2514-2518. ISCA, (2014)Structured soft margin confidence weighted learning for grapheme-to-phoneme conversion., , , , and . INTERSPEECH, page 1263-1267. ISCA, (2014)A Hybrid System for Continuous Word-Level Emphasis Modeling Based on HMM State Clustering and Adaptive Training., , , , and . INTERSPEECH, page 3196-3200. ISCA, (2016)