Teach model to answer questions after comprehending the document. (arXiv:2307.08931v1 [cs.CL])
Federated Large Language Model: A Position Paper. (arXiv:2307.08925v1 [cs.LG])
Large Language Models Perform Diagnostic Reasoning. (arXiv:2307.08922v1 [cs.CL])
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach. (arXiv:2307.08859v1 [cs.LG])
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. (arXiv:2307.08813v1 [cs.CL])
A mixed policy to improve performance of language models on math problems. (arXiv:2307.08767v1 [cs.CL])
ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development. (arXiv:2307.08720v1 [eess.AS])
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages. (arXiv:2307.08714v1 [cs.CL])
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition. (arXiv:2307.07417v2 [cs.CL] UPDATED)
Parmesan: mathematical concept extraction for education. (arXiv:2307.06699v2 [cs.CL] UPDATED)
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. (arXiv:2307.06576v2 [cs.IR] UPDATED)
Unmasking the giant: A comprehensive evaluation of ChatGPT's proficiency in coding algorithms and data structures. (arXiv:2307.05360v2 [cs.SE] UPDATED)
ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey. (arXiv:2307.04251v2 [cs.CL] UPDATED)
On decoder-only architecture for speech-to-text and large language model integration. (arXiv:2307.03917v2 [eess.AS] UPDATED)
Emoji Prediction using Transformer Models. (arXiv:2307.02054v2 [cs.CL] UPDATED)
InstructEval: Systematic Evaluation of Instruction Selection Methods. (arXiv:2307.00259v2 [cs.CL] UPDATED)
Modeling Human-like Concept Learning with Bayesian Inference over Natural Language. (arXiv:2306.02797v2 [cs.CL] UPDATED)
A Study of Situational Reasoning for Traffic Understanding. (arXiv:2306.02520v2 [cs.CL] UPDATED)
Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition. (arXiv:2306.00804v2 [cs.SD] UPDATED)
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition. (arXiv:2305.18624v4 [cs.CL] UPDATED)
All recent Computation and Language articles on arXiv.org for the Fediverse
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