Large Language Model
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Neural Information Processing Systems
Large language models (LLMs) have made significant progress in natural language processing tasks and demonstrate considerable potential in the legal domain.
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QA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content Joรฃo Monteiro,3, Pierre-Andrรฉ Noรซl
Neural Information Processing Systems
Consequently, evaluating models on test splits that might have leaked into the training set is prone to misleading conclusions.
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Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Neural Information Processing Systems
Work done as a visiting student at MIT. 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
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