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data/2401.10241.json

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+{"paper_url": "https://huggingface.co/papers/2401.10241", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding](https://huggingface.co/papers/2401.09149) (2024)\n* [Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search](https://huggingface.co/papers/2311.15269) (2023)\n* [Re-evaluating the Memory-balanced Pipeline Parallelism: BPipe](https://huggingface.co/papers/2401.02088) (2024)\n* [PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction](https://huggingface.co/papers/2312.00839) (2023)\n* [Optimizing Distributed Training on Frontier for Large Language Models](https://huggingface.co/papers/2312.12705) (2023)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}

data/2401.10774.json

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+{"paper_url": "https://huggingface.co/papers/2401.10774", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding](https://huggingface.co/papers/2401.07851) (2024)\n* [APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding](https://huggingface.co/papers/2401.06761) (2024)\n* [Multi-Candidate Speculative Decoding](https://huggingface.co/papers/2401.06706) (2024)\n* [Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models](https://huggingface.co/papers/2401.08294) (2024)\n* [SparQ Attention: Bandwidth-Efficient LLM Inference](https://huggingface.co/papers/2312.04985) (2023)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}

data/2401.10831.json

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+{"paper_url": "https://huggingface.co/papers/2401.10831", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Class-Discriminative Attention Maps for Vision Transformers](https://huggingface.co/papers/2312.02364) (2023)\n* [Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation](https://huggingface.co/papers/2311.17893) (2023)\n* [No More Shortcuts: Realizing the Potential of Temporal Self-Supervision](https://huggingface.co/papers/2312.13008) (2023)\n* [CEIR: Concept-based Explainable Image Representation Learning](https://huggingface.co/papers/2312.10747) (2023)\n* [Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution](https://huggingface.co/papers/2312.17174) (2023)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}

data/2401.10838.json

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+{"paper_url": "https://huggingface.co/papers/2401.10838", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Inspo: Writing Stories with a Flock of AIs and Humans](https://huggingface.co/papers/2311.16521) (2023)\n* [Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses](https://huggingface.co/papers/2312.00763) (2023)\n* [Understanding Large-Language Model (LLM)-powered Human-Robot Interaction](https://huggingface.co/papers/2401.03217) (2024)\n* [SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration](https://huggingface.co/papers/2312.04690) (2023)\n* [Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground](https://huggingface.co/papers/2311.18251) (2023)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}

data/2401.10889.json

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+{"paper_url": "https://huggingface.co/papers/2401.10889", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion](https://huggingface.co/papers/2311.15855) (2023)\n* [ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis](https://huggingface.co/papers/2311.17123) (2023)\n* [Reality's Canvas, Language's Brush: Crafting 3D Avatars from Monocular Video](https://huggingface.co/papers/2312.04784) (2023)\n* [Dynamic Appearance Modeling of Clothed 3D Human Avatars using a Single Camera](https://huggingface.co/papers/2312.16842) (2023)\n* [Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation](https://huggingface.co/papers/2401.04728) (2024)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}

data/2401.10891.json

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+{"paper_url": "https://huggingface.co/papers/2401.10891", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VLTSeg: Simple Transfer of CLIP-Based Vision-Language Representations for Domain Generalized Semantic Segmentation](https://huggingface.co/papers/2312.02021) (2023)\n* [PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation](https://huggingface.co/papers/2312.13066) (2023)\n* [General Object Foundation Model for Images and Videos at Scale](https://huggingface.co/papers/2312.09158) (2023)\n* [EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything](https://huggingface.co/papers/2312.00863) (2023)\n* [Masked Image Modeling via Dynamic Token Morphing](https://huggingface.co/papers/2401.00254) (2023)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}