COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values.
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CoRR, April, 2025
Enhancing LLMs via High-Knowledge Data Selection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
MIO: A Foundation Model on Multimodal Tokens.
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CoRR, 2024
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.
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CoRR, 2024
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models.
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CoRR, 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
DDK: Distilling Domain Knowledge for Efficient Large Language Models.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
E2-LLM: Efficient and Extreme Length Extension of Large Language Models.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.
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CoRR, 2023