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https://huggingface.co/papers/1611.09842
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https://huggingface.co/papers/1701.06538
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https://arxiv.org/abs/1706.03762
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https://huggingface.co/papers/1802.01817
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https://huggingface.co/papers/1902.01659
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https://huggingface.co/papers/1903.09940
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https://huggingface.co/papers/1903.12248
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https://arxiv.org/abs/1905.11946
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https://huggingface.co/papers/1907.01424
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https://huggingface.co/papers/1911.08647
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https://huggingface.co/papers/2005.11401
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https://huggingface.co/papers/2006.11239
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https://arxiv.org/abs/2008.09470
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https://huggingface.co/papers/2010.03692
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https://huggingface.co/papers/2101.08231
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https://huggingface.co/papers/2103.00020
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https://arxiv.org/pdf/2104.08691
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https://huggingface.co/papers/2106.12672
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https://huggingface.co/papers/2106.13302
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https://huggingface.co/papers/2107.14795
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https://huggingface.co/papers/2112.05682
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https://arxiv.org/abs/2112.10003
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https://huggingface.co/papers/2112.12777
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https://huggingface.co/papers/2202.04901
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This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models](https://huggingface.co/papers/2308.09300) (2023) * [Enhance audio generation controllability through representation similarity regularization](https://huggingface.co/papers/2309.08773) (2023) * [Exploring Domain-Specific Enhancements for a Neural Foley Synthesizer](https://huggingface.co/papers/2309.04641) (2023) * [Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation](https://huggingface.co/papers/2309.10740) (2023) * [Training Audio Captioning Models without Audio](https://huggingface.co/papers/2309.07372) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
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This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Approximating Human-Like Few-shot Learning with GPT-based Compression](https://huggingface.co/papers/2308.06942) (2023) * [MEMORY-VQ: Compression for Tractable Internet-Scale Memory](https://huggingface.co/papers/2308.14903) (2023) * [Headless Language Models: Learning without Predicting with Contrastive Weight Tying](https://huggingface.co/papers/2309.08351) (2023) * [Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning](https://huggingface.co/papers/2309.08708) (2023) * [The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute](https://huggingface.co/papers/2309.11197) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
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This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Sequence-to-Sequence Spanish Pre-trained Language Models](https://huggingface.co/papers/2309.11259) (2023) * [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://huggingface.co/papers/2308.03281) (2023) * [Baichuan 2: Open Large-scale Language Models](https://huggingface.co/papers/2309.10305) (2023) * [Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models](https://huggingface.co/papers/2308.14149) (2023) * [A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models](https://huggingface.co/papers/2309.11674) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
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This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages](https://huggingface.co/papers/2309.09400) (2023) * [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://huggingface.co/papers/2308.03281) (2023) * [OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch](https://huggingface.co/papers/2309.10706) (2023) * [Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models](https://huggingface.co/papers/2308.16149) (2023) * [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
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This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning](https://huggingface.co/papers/2309.08708) (2023) * [Do Generative Large Language Models need billions of parameters?](https://huggingface.co/papers/2309.06589) (2023) * [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023) * [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023) * [RecycleGPT: An Autoregressive Language Model with Recyclable Module](https://huggingface.co/papers/2308.03421) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
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This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API * [PUMGPT: A Large Vision-Language Model for Product Understanding](https://huggingface.co/papers/2308.09568) (2023) * [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://huggingface.co/papers/2308.12966) (2023) * [Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models](https://huggingface.co/papers/2308.13437) (2023) * [SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap](https://huggingface.co/papers/2309.12382) (2023) * [UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding](https://huggingface.co/papers/2308.11592) (2023) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space

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