Scheduled Commit

data/2402.14034.json

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+{"paper_url": "https://huggingface.co/papers/2402.14034", "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* [Large Language Model based Multi-Agents: A Survey of Progress and Challenges](https://huggingface.co/papers/2402.01680) (2024)\n* [LLM Multi-Agent Systems: Challenges and Open Problems](https://huggingface.co/papers/2402.03578) (2024)\n* [Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies](https://huggingface.co/papers/2402.03628) (2024)\n* [S-Agents: self-organizing agents in open-ended environment](https://huggingface.co/papers/2402.04578) (2024)\n* [SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems](https://huggingface.co/papers/2401.03945) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14083.json

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+{"paper_url": "https://huggingface.co/papers/2402.14083", "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* [Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model](https://huggingface.co/papers/2402.07757) (2024)\n* [GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements](https://huggingface.co/papers/2402.10963) (2024)\n* [Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments](https://huggingface.co/papers/2401.05946) (2024)\n* [A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task](https://huggingface.co/papers/2402.11917) (2024)\n* [AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition](https://huggingface.co/papers/2402.11452) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14086.json

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+{"paper_url": "https://huggingface.co/papers/2402.14086", "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* [Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon](https://huggingface.co/papers/2402.02113) (2024)\n* [Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning](https://huggingface.co/papers/2402.02080) (2024)\n* [A Morphologically-Aware Dictionary-based Data Augmentation Technique for Machine Translation of Under-Represented Languages](https://huggingface.co/papers/2402.01939) (2024)\n* [xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning](https://huggingface.co/papers/2401.07037) (2024)\n* [Constrained Decoding for Cross-lingual Label Projection](https://huggingface.co/papers/2402.03131) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14167.json

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+{"paper_url": "https://huggingface.co/papers/2402.14167", "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* [AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning](https://huggingface.co/papers/2402.00769) (2024)\n* [Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models](https://huggingface.co/papers/2401.04585) (2024)\n* [Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers](https://huggingface.co/papers/2401.11605) (2024)\n* [Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation](https://huggingface.co/papers/2402.10491) (2024)\n* [Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss](https://huggingface.co/papers/2401.02677) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14180.json

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+{"paper_url": "https://huggingface.co/papers/2402.14180", "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* [How do Transformers perform In-Context Autoregressive Learning?](https://huggingface.co/papers/2402.05787) (2024)\n* [On the Expressive Power of a Variant of the Looped Transformer](https://huggingface.co/papers/2402.13572) (2024)\n* [Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data](https://huggingface.co/papers/2402.00743) (2024)\n* [Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape](https://huggingface.co/papers/2402.01258) (2024)\n* [Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks](https://huggingface.co/papers/2402.04248) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14253.json

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+{"paper_url": "https://huggingface.co/papers/2402.14253", "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* [2L3: Lifting Imperfect Generated 2D Images into Accurate 3D](https://huggingface.co/papers/2401.15841) (2024)\n* [IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation](https://huggingface.co/papers/2402.08682) (2024)\n* [MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction](https://huggingface.co/papers/2402.12712) (2024)\n* [LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation](https://huggingface.co/papers/2402.05054) (2024)\n* [Denoising Diffusion via Image-Based Rendering](https://huggingface.co/papers/2402.03445) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14261.json

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+{"paper_url": "https://huggingface.co/papers/2402.14261", "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* [Leveraging Print Debugging to Improve Code Generation in Large Language Models](https://huggingface.co/papers/2401.05319) (2024)\n* [Improving Natural Language Capability of Code Large Language Model](https://huggingface.co/papers/2401.14242) (2024)\n* [DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models](https://huggingface.co/papers/2402.13291) (2024)\n* [UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing](https://huggingface.co/papers/2402.03396) (2024)\n* [Copilot Refinement: Addressing Code Smells in Copilot-Generated Python Code](https://huggingface.co/papers/2401.14176) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14289.json

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+{"paper_url": "https://huggingface.co/papers/2402.14289", "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* [Efficient Multimodal Learning from Data-centric Perspective](https://huggingface.co/papers/2402.11530) (2024)\n* [Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action](https://huggingface.co/papers/2312.17172) (2023)\n* [The (R)Evolution of Multimodal Large Language Models: A Survey](https://huggingface.co/papers/2402.12451) (2024)\n* [TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones](https://huggingface.co/papers/2312.16862) (2023)\n* [MobileVLM V2: Faster and Stronger Baseline for Vision Language Model](https://huggingface.co/papers/2402.03766) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14327.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.14327", "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* [Generalizable Entity Grounding via Assistance of Large Language Model](https://huggingface.co/papers/2402.02555) (2024)\n* [Exploring Simple Open-Vocabulary Semantic Segmentation](https://huggingface.co/papers/2401.12217) (2024)\n* [PIXAR: Auto-Regressive Language Modeling in Pixel Space](https://huggingface.co/papers/2401.03321) (2024)\n* [UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding](https://huggingface.co/papers/2401.06397) (2024)\n* [Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation](https://huggingface.co/papers/2402.13697) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14547.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.14547", "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* [Specialized Language Models with Cheap Inference from Limited Domain Data](https://huggingface.co/papers/2402.01093) (2024)\n* [Unlearning Reveals the Influential Training Data of Language Models](https://huggingface.co/papers/2401.15241) (2024)\n* [BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing](https://huggingface.co/papers/2206.10668) (2022)\n* [Large Language Models: A Survey](https://huggingface.co/papers/2402.06196) (2024)\n* [LESS: Selecting Influential Data for Targeted Instruction Tuning](https://huggingface.co/papers/2402.04333) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14590.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.14590", "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* [Detecting Generated Native Ads in Conversational Search](https://huggingface.co/papers/2402.04889) (2024)\n* [RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation](https://huggingface.co/papers/2312.16018) (2023)\n* [Active Preference Learning for Large Language Models](https://huggingface.co/papers/2402.08114) (2024)\n* [LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase](https://huggingface.co/papers/2401.06676) (2024)\n* [Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis](https://huggingface.co/papers/2401.04997) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14650.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.14650", "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* [360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming](https://huggingface.co/papers/2402.00763) (2024)\n* [Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis](https://huggingface.co/papers/2312.16812) (2023)\n* [Deblurring 3D Gaussian Splatting](https://huggingface.co/papers/2401.00834) (2024)\n* [GaussianBody: Clothed Human Reconstruction via 3d Gaussian Splatting](https://huggingface.co/papers/2401.09720) (2024)\n* [EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction](https://huggingface.co/papers/2401.12561) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14658.json

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+{"paper_url": "https://huggingface.co/papers/2402.14658", "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* [DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence](https://huggingface.co/papers/2401.14196) (2024)\n* [DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning](https://huggingface.co/papers/2402.09136) (2024)\n* [MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks](https://huggingface.co/papers/2312.15960) (2023)\n* [DebugBench: Evaluating Debugging Capability of Large Language Models](https://huggingface.co/papers/2401.04621) (2024)\n* [EffiBench: Benchmarking the Efficiency of Automatically Generated Code](https://huggingface.co/papers/2402.02037) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14792.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.14792", "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* [SIGNeRF: Scene Integrated Generation for Neural Radiance Fields](https://huggingface.co/papers/2401.01647) (2024)\n* [ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields](https://huggingface.co/papers/2402.00864) (2024)\n* [SPAD : Spatially Aware Multiview Diffusers](https://huggingface.co/papers/2402.05235) (2024)\n* [Training-Free Consistent Text-to-Image Generation](https://huggingface.co/papers/2402.03286) (2024)\n* [TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts](https://huggingface.co/papers/2401.14828) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14795.json

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+{"paper_url": "https://huggingface.co/papers/2402.14795", "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* [SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation](https://huggingface.co/papers/2401.08957) (2024)\n* [RealDex: Towards Human-like Grasping for Robotic Dexterous Hand](https://huggingface.co/papers/2402.13853) (2024)\n* [THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation](https://huggingface.co/papers/2402.08191) (2024)\n* [Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots](https://huggingface.co/papers/2402.10329) (2024)\n* [Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation](https://huggingface.co/papers/2401.02117) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14797.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.14797", "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* [Lumiere: A Space-Time Diffusion Model for Video Generation](https://huggingface.co/papers/2401.12945) (2024)\n* [Latte: Latent Diffusion Transformer for Video Generation](https://huggingface.co/papers/2401.03048) (2024)\n* [ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation](https://huggingface.co/papers/2402.04324) (2024)\n* [UniVG: Towards UNIfied-modal Video Generation](https://huggingface.co/papers/2401.09084) (2024)\n* [Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization](https://huggingface.co/papers/2402.03161) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14810.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.14810", "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* [RoHM: Robust Human Motion Reconstruction via Diffusion](https://huggingface.co/papers/2401.08570) (2024)\n* [MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation](https://huggingface.co/papers/2401.11115) (2024)\n* [Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking](https://huggingface.co/papers/2401.06614) (2024)\n* [HMP: Hand Motion Priors for Pose and Shape Estimation from Video](https://huggingface.co/papers/2312.16737) (2023)\n* [3D Human Pose Analysis via Diffusion Synthesis](https://huggingface.co/papers/2401.08930) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.14818.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.14818", "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* [MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices](https://huggingface.co/papers/2312.16886) (2023)\n* [MobileVLM V2: Faster and Stronger Baseline for Vision Language Model](https://huggingface.co/papers/2402.03766) (2024)\n* [3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding](https://huggingface.co/papers/2401.03201) (2024)\n* [LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model](https://huggingface.co/papers/2401.02330) (2024)\n* [A Simple Framework to Accelerate Multilingual Language Model for Monolingual Text Generation](https://huggingface.co/papers/2401.10660) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}