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data/2402.05120.json

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+{"paper_url": "https://huggingface.co/papers/2402.05120", "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* [Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning](https://huggingface.co/papers/2401.10480) (2024)\n* [Divide and Conquer for Large Language Models Reasoning](https://huggingface.co/papers/2401.05190) (2024)\n* [Self-Discover: Large Language Models Self-Compose Reasoning Structures](https://huggingface.co/papers/2402.03620) (2024)\n* [Understanding the planning of LLM agents: A survey](https://huggingface.co/papers/2402.02716) (2024)\n* [LLM Harmony: Multi-Agent Communication for Problem Solving](https://huggingface.co/papers/2401.01312) (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/2402.05140.json

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+{"paper_url": "https://huggingface.co/papers/2402.05140", "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* [SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models](https://huggingface.co/papers/2402.00474) (2024)\n* [Do Not (Always) Look Right: Investigating the Capabilities of Decoder-Based Large Language Models for Sequence Labeling](https://huggingface.co/papers/2401.14556) (2024)\n* [Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment](https://huggingface.co/papers/2312.12148) (2023)\n* [ICL Markup: Structuring In-Context Learning using Soft-Token Tags](https://huggingface.co/papers/2312.07405) (2023)\n* [Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://huggingface.co/papers/2402.01729) (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/2402.05195.json

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+{"paper_url": "https://huggingface.co/papers/2402.05195", "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* [UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion](https://huggingface.co/papers/2401.13388) (2024)\n* [InstantID: Zero-shot Identity-Preserving Generation in Seconds](https://huggingface.co/papers/2401.07519) (2024)\n* [Decoupled Textual Embeddings for Customized Image Generation](https://huggingface.co/papers/2312.11826) (2023)\n* [Semantic Guidance Tuning for Text-To-Image Diffusion Models](https://huggingface.co/papers/2312.15964) (2023)\n* [StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models](https://huggingface.co/papers/2401.13942) (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/2402.05403.json

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+{"paper_url": "https://huggingface.co/papers/2402.05403", "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* [Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning](https://huggingface.co/papers/2312.08901) (2023)\n* [Large Language Models are Null-Shot Learners](https://huggingface.co/papers/2401.08273) (2024)\n* [Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization](https://huggingface.co/papers/2312.10610) (2023)\n* [CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities](https://huggingface.co/papers/2401.06961) (2024)\n* [Supervised Knowledge Makes Large Language Models Better In-context Learners](https://huggingface.co/papers/2312.15918) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.05468.json

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+{"paper_url": "https://huggingface.co/papers/2402.05468", "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* [Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances](https://huggingface.co/papers/2401.17958) (2024)\n* [Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers](https://huggingface.co/papers/2401.15838) (2024)\n* [Mean-field underdamped Langevin dynamics and its spacetime discretization](https://huggingface.co/papers/2312.16360) (2023)\n* [On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling](https://huggingface.co/papers/2402.05098) (2024)\n* [Reflected Schr\u00f6dinger Bridge for Constrained Generative Modeling](https://huggingface.co/papers/2401.03228) (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/2402.05472.json

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+{"paper_url": "https://huggingface.co/papers/2402.05472", "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* [Supervised Fine-tuning in turn Improves Visual Foundation Models](https://huggingface.co/papers/2401.10222) (2024)\n* [Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models](https://huggingface.co/papers/2401.03105) (2024)\n* [InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks](https://huggingface.co/papers/2312.14238) (2023)\n* [MIVC: Multiple Instance Visual Component for Visual-Language Models](https://huggingface.co/papers/2312.17109) (2023)\n* [MouSi: Poly-Visual-Expert Vision-Language Models](https://huggingface.co/papers/2401.17221) (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/2402.05546.json

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+{"paper_url": "https://huggingface.co/papers/2402.05546", "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* [MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning](https://huggingface.co/papers/2401.03306) (2024)\n* [Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots](https://huggingface.co/papers/2312.11374) (2023)\n* [DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning](https://huggingface.co/papers/2401.09243) (2024)\n* [Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation](https://huggingface.co/papers/2312.09844) (2023)\n* [SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation](https://huggingface.co/papers/2401.08957) (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/2402.05672.json

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+{"paper_url": "https://huggingface.co/papers/2402.05672", "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* [Improving Text Embeddings with Large Language Models](https://huggingface.co/papers/2401.00368) (2023)\n* [Nomic Embed: Training a Reproducible Long Context Text Embedder](https://huggingface.co/papers/2402.01613) (2024)\n* [BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation](https://huggingface.co/papers/2402.03216) (2024)\n* [JaColBERT and Hard Negatives, Towards Better Japanese-First Embeddings for Retrieval: Early Technical Report](https://huggingface.co/papers/2312.16144) (2023)\n* [Adapting Large Language Models for Document-Level Machine Translation](https://huggingface.co/papers/2401.06468) (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/2402.05755.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.05755", "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* [Boosting Large Language Model for Speech Synthesis: An Empirical Study](https://huggingface.co/papers/2401.00246) (2023)\n* [SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition](https://huggingface.co/papers/2401.18045) (2024)\n* [Audiobox: Unified Audio Generation with Natural Language Prompts](https://huggingface.co/papers/2312.15821) (2023)\n* [ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering](https://huggingface.co/papers/2401.07333) (2024)\n* [Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations](https://huggingface.co/papers/2402.03407) (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/2402.05861.json

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+{"paper_url": "https://huggingface.co/papers/2402.05861", "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* [A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames](https://huggingface.co/papers/2312.07395) (2023)\n* [Text-Conditioned Resampler For Long Form Video Understanding](https://huggingface.co/papers/2312.11897) (2023)\n* [A Simple LLM Framework for Long-Range Video Question-Answering](https://huggingface.co/papers/2312.17235) (2023)\n* [Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization](https://huggingface.co/papers/2402.03161) (2024)\n* [EZ-CLIP: Efficient Zeroshot Video Action Recognition](https://huggingface.co/papers/2312.08010) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.05930.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.05930", "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* [WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models](https://huggingface.co/papers/2401.13919) (2024)\n* [SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents](https://huggingface.co/papers/2401.10935) (2024)\n* [VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks](https://huggingface.co/papers/2401.13649) (2024)\n* [GPT-4V(ision) is a Generalist Web Agent, if Grounded](https://huggingface.co/papers/2401.01614) (2024)\n* [Dual-View Visual Contextualization for Web Navigation](https://huggingface.co/papers/2402.04476) (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/2402.05932.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.05932", "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* [DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving](https://huggingface.co/papers/2312.09245) (2023)\n* [LMDrive: Closed-Loop End-to-End Driving with Large Language Models](https://huggingface.co/papers/2312.07488) (2023)\n* [DriveLM: Driving with Graph Visual Question Answering](https://huggingface.co/papers/2312.14150) (2023)\n* [LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning](https://huggingface.co/papers/2401.00125) (2023)\n* [VLP: Vision Language Planning for Autonomous Driving](https://huggingface.co/papers/2401.05577) (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/2402.05935.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.05935", "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* [MoE-LLaVA: Mixture of Experts for Large Vision-Language Models](https://huggingface.co/papers/2401.15947) (2024)\n* [GroundingGPT:Language Enhanced Multi-modal Grounding Model](https://huggingface.co/papers/2401.06071) (2024)\n* [MobileVLM V2: Faster and Stronger Baseline for Vision Language Model](https://huggingface.co/papers/2402.03766) (2024)\n* [SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model](https://huggingface.co/papers/2401.09712) (2024)\n* [Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning](https://huggingface.co/papers/2312.11420) (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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2402.05937.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2402.05937", "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* [YOLO-World: Real-Time Open-Vocabulary Object Detection](https://huggingface.co/papers/2401.17270) (2024)\n* [General Object Foundation Model for Images and Videos at Scale](https://huggingface.co/papers/2312.09158) (2023)\n* [ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection](https://huggingface.co/papers/2312.07266) (2023)\n* [Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation](https://huggingface.co/papers/2312.17505) (2023)\n* [Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving](https://huggingface.co/papers/2402.02026) (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`"}