Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation | Paper Citation Record

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This paper cites Gqa: Training generalized multi-query transformer models from multi-head checkpoints, in: The 2023 Conference on Empirical Methods in Natural Language Processing.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Gqa: Training generalized multi-query transformer models from multi-head checkpoints, in: The 2023 Conference on Empirical Methods in Natural Language Processing

Reference 1

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation PaLM 2 Technical Report

Reference 2

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This paper cites Plato-2:Towardsbuildinganopen-domainchatbotvia curriculum learning, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Plato-2:Towardsbuildinganopen-domainchatbotvia curriculum learning, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp

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This paper cites Glat:Glancingatlatentvariablesforparalleltextgeneration, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Glat:Glancingatlatentvariablesforparalleltextgeneration, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp

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This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Sparks of Artificial General Intelligence: Early experiments with GPT-4

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This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 7

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This paper cites YAKE! Collection-Independent Automatic Keyword Extractor.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation YAKE! Collection-Independent Automatic Keyword Extractor

Reference 8

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This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Accelerating Large Language Model Decoding with Speculative Sampling

Reference 9

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This paper cites Learning to memorize entailment and discourse relations for persona-consistent dialogues, in: Proceedings of the AAAI conference on artificial intelligence, pp.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Learning to memorize entailment and discourse relations for persona-consistent dialogues, in: Proceedings of the AAAI conference on artificial intelligence, pp

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation PaLM: Scaling Language Modeling with Pathways

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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This paper cites Wizard of wikipedia: Knowledge-powered conversational agents, in: International Conference on Learning Representations.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Wizard of wikipedia: Knowledge-powered conversational agents, in: International Conference on Learning Representations

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This paper cites Understandingandimprovinglexicalchoiceinnon-autoregressivetranslation, in: International Conference on Learning Representations.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Understandingandimprovinglexicalchoiceinnon-autoregressivetranslation, in: International Conference on Learning Representations

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This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

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This paper cites How does gpt obtain its ability? tracing emergent abilities of language models to their sources.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation How does gpt obtain its ability? tracing emergent abilities of language models to their sources

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This paper cites Non-autoregressive neural machine translation, in: International Conference on Learning Representations (ICLR).

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Non-autoregressive neural machine translation, in: International Conference on Learning Representations (ICLR)

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Unresolved cited work

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Unresolved cited work

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Improvingnon-autoregressivetranslationmodelswithoutdistillation,in:InternationalConference on Learning Representations

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This paper cites Belle: Be everyone’s large language model engine.https://github.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Belle: Be everyone’s large language model engine.https://github

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation SqueezeLLM: Dense-and-Sparse Quantization

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This paper cites Efficient memory management for large language model serving with pagedattention, in: Proceedings of the 29th Symposium on Operating Systems Principles, pp.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Efficient memory management for large language model serving with pagedattention, in: Proceedings of the 29th Symposium on Operating Systems Principles, pp

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This paper cites Fast inference from transformers via speculative decoding, in: International Conference on Machine Learning, PMLR.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Fast inference from transformers via speculative decoding, in: International Conference on Machine Learning, PMLR

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation A Diversity-Promoting Objective Function for Neural Conversation Models

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This paper cites G-eval: Nlg evaluation using gpt-4 with better human alignment, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation G-eval: Nlg evaluation using gpt-4 with better human alignment, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp

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This paper cites Are Emergent Abilities in Large Language Models just In-Context Learning?.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Are Emergent Abilities in Large Language Models just In-Context Learning?

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

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This paper cites Bleu: a method for automatic evaluation of machine translation, in: Proceedings of the 40th annual meeting of the Association for Computational Linguistics, pp.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Bleu: a method for automatic evaluation of machine translation, in: Proceedings of the 40th annual meeting of the Association for Computational Linguistics, pp

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This paper cites Guiding non-autoregressive neural machine translation decoding with reordering information, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Guiding non-autoregressive neural machine translation decoding with reordering information, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Non-autoregressive machine translation with latent alignments, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems 36

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Accelerating llm inference with staged speculative decoding, in: Workshop on Efficient Systems for Foundation Models@ ICML2023

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation LLaMA: Open and Efficient Foundation Language Models

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation A Large-Scale Chinese Short-Text Conversation Dataset

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Emergent Abilities of Large Language Models

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Smoothquant: Accurate and efficient post-training quantization for large language models, in: International Conference on Machine Learning, PMLR

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Asurveyonnon-autoregressivegenerationforneuralmachinetranslation and beyond

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation An explanation of in-context learning as implicit bayesian inference, in: International Conference on Learning Representations

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation GLM-130b: An open bilingual pre-trained model, in: The Eleventh International Conference on Learning Representations (ICLR)

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation GLM-130B: An Open Bilingual Pre-trained Model

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation OPT: Open Pre-trained Transformer Language Models

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Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation KPT: Keyword-guided Pre-training for Grounded Dialog Generation

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