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Evolution, the engine behind the survival and growth of life on Earth, operates through the population-based process of reproduction.
Bertscore: Evaluating text generation with bert
Zhang, T · 1904
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Genetic algorithms
Holland, J. H · 1992
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Think you have solved question answering? try arc, the ai2 reasoning challenge
Clark, P · 2018
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Meld: A multimodal multi-party dataset for emotion recognition in conversations
Poria, S · 2018
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Emotion detection on tv show transcripts with sequence-based convolutional neural networks
Zahiri, S. M · 2018
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Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs
Dua, D · 2019
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CommonsenseQA: A question answering challenge targeting commonsense knowledge
Talmor, A · 2019
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Program synthesis with large language models
Austin, J · 2021
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Training verifiers to solve math word problems
Cobbe, K · 2021
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Lora: Low-rank adaptation of large language models
Hu, E. J · 2021
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The flores-101 evaluation benchmark for low-resource and multilingual machine translation
Goyal, N · 2022
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Language models are multilingual chain-of-thought reasoners
Shi, F · 2022
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Challenging big-bench tasks and whether chain-of-thought can solve them
Suzgun, M · 2022
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Gps: Genetic prompt search for efficient few-shot learning
Xu, H · 2022
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Code alpaca: An instruction-following llama model for code generation
Chaudhary, S · 2023
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Guo, Q · 2023
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Orca: Progressive learning from complex explanation traces of gpt-4
Mukherjee, S · 2023
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Peng, B · 2023
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Large language model routing with benchmark datasets
Shnitzer, T · 2023
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Wizardlm: Empowering large language models to follow complex instructions
Xu, C · 2023
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Zero-shot chain-of-thought reasoning guided by evolutionary algorithms in large language models
Jin, F · 2024
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Openassistant conversations-democratizing large language model alignment
Köpf, A · 2024
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Pack of llms: Model fusion at test-time via perplexity optimization
Mavromatis, C · 2024
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Learning to route among specialized experts for zero-shot generalization
Muqeeth, M · 2024
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Gemma 2: Improving open language models at a practical size
Team, G · 2024
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Yadav, P · 2023
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Lima: Less is more for alignment
Zhou, C · 2023
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Evolutionary multi-objective optimization of large language model prompts for balancing sentiments
Baumann, J · 2024
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Routerdc: Query-based router by dual contrastive learning for assembling large language models
Chen, S · 2024
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Scaling instruction-finetuned language models
Chung, H. W · 2024
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Model swarms: Collaborative search to adapt llm experts via swarm intelligence
Feng, S · 2024
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Arcee’s mergekit: A toolkit for merging large language models
Goddard, C · 2024
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van Stein, N · 2024
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Mmlu-pro: A more robust and challenging multi-task language understanding benchmark
Wang, Y · 2024
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Evolutionary computation in the era of large language model: Survey and roadmap
Wu, X · 2024
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What matters for model merging at scale?
Yadav, P · 2024
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Adamerging: Adaptive model merging for multi-task learning
Yang, E · 2024
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Language models are super mario: Absorbing abilities from homologous models as a free lunch
Yu, L · 2024
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Evoagent: Towards automatic multi-agent generation via evolutionary algorithms
Yuan, S · 2024
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Loraretriever: Input-aware lora retrieval and composition for mixed tasks in the wild
Zhao, Z · 2024
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Llamafactory: Unified efficient fine-tuning of 100+ language models
Zheng, Y · 2024
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