Scheduled Commit

data/2410.10812.json

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+{"paper_url": "https://huggingface.co/papers/2410.10812", "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* [MonoFormer: One Transformer for Both Diffusion and Autoregression](https://huggingface.co/papers/2409.16280) (2024)\n* [ImageFolder: Autoregressive Image Generation with Folded Tokens](https://huggingface.co/papers/2410.01756) (2024)\n* [A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation](https://huggingface.co/papers/2410.01912) (2024)\n* [DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation](https://huggingface.co/papers/2410.08159) (2024)\n* [ControlAR: Controllable Image Generation with Autoregressive Models](https://huggingface.co/papers/2410.02705) (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/2410.11190.json

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+{"paper_url": "https://huggingface.co/papers/2410.11190", "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* [Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming](https://huggingface.co/papers/2408.16725) (2024)\n* [Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos](https://huggingface.co/papers/2408.14023) (2024)\n* [Baichuan-Omni Technical Report](https://huggingface.co/papers/2410.08565) (2024)\n* [MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving](https://huggingface.co/papers/2409.07267) (2024)\n* [Multi-Modal Adapter for Vision-Language Models](https://huggingface.co/papers/2409.02958) (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/2410.11331.json

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+{"paper_url": "https://huggingface.co/papers/2410.11331", "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 Review on Edge Large Language Models: Design, Execution, and Applications](https://huggingface.co/papers/2410.11845) (2024)\n* [On-Device Language Models: A Comprehensive Review](https://huggingface.co/papers/2409.00088) (2024)\n* [Small Language Models: Survey, Measurements, and Insights](https://huggingface.co/papers/2409.15790) (2024)\n* [Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models](https://huggingface.co/papers/2408.15518) (2024)\n* [A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models](https://huggingface.co/papers/2410.07265) (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/2410.12791.json

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+{"paper_url": "https://huggingface.co/papers/2410.12791", "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* [Visualizing Temporal Topic Embeddings with a Compass](https://huggingface.co/papers/2409.10649) (2024)\n* [Language Models Learn Metadata: Political Stance Detection Case Study](https://huggingface.co/papers/2409.13756) (2024)\n* [Exploring the topics, sentiments and hate speech in the Spanish information environment](https://huggingface.co/papers/2409.12658) (2024)\n* [Mapping News Narratives Using LLMs and Narrative-Structured Text Embeddings](https://huggingface.co/papers/2409.06540) (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/2410.13232.json

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+{"paper_url": "https://huggingface.co/papers/2410.13232", "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* [ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning](https://huggingface.co/papers/2410.02052) (2024)\n* [AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents](https://huggingface.co/papers/2410.13825) (2024)\n* [Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models](https://huggingface.co/papers/2409.09345) (2024)\n* [NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator](https://huggingface.co/papers/2410.02907) (2024)\n* [Agent Workflow Memory](https://huggingface.co/papers/2409.07429) (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/2410.13276.json

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+{"paper_url": "https://huggingface.co/papers/2410.13276", "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* [TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention](https://huggingface.co/papers/2410.05076) (2024)\n* [A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts](https://huggingface.co/papers/2410.01485) (2024)\n* [DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads](https://huggingface.co/papers/2410.10819) (2024)\n* [ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification and KV Cache Compression](https://huggingface.co/papers/2410.08584) (2024)\n* [PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs](https://huggingface.co/papers/2410.05265) (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/2410.13370.json

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+{"paper_url": "https://huggingface.co/papers/2410.13370", "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* [TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder](https://huggingface.co/papers/2409.08248) (2024)\n* [CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization](https://huggingface.co/papers/2408.15914) (2024)\n* [Learning to Customize Text-to-Image Diffusion In Diverse Context](https://huggingface.co/papers/2410.10058) (2024)\n* [TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation](https://huggingface.co/papers/2410.05591) (2024)\n* [StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation](https://huggingface.co/papers/2409.12576) (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/2410.13674.json

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+{"paper_url": "https://huggingface.co/papers/2410.13674", "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* [DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling](https://huggingface.co/papers/2409.16949) (2024)\n* [DIAGen: Diverse Image Augmentation with Generative Models](https://huggingface.co/papers/2408.14584) (2024)\n* [Improving Diffusion-based Data Augmentation with Inversion Spherical Interpolation](https://huggingface.co/papers/2408.16266) (2024)\n* [CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning](https://huggingface.co/papers/2410.11963) (2024)\n* [SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models](https://huggingface.co/papers/2408.16273) (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/2410.13726.json

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+{"paper_url": "https://huggingface.co/papers/2410.13726", "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* [SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model](https://huggingface.co/papers/2409.03270) (2024)\n* [CyberHost: Taming Audio-driven Avatar Diffusion Model with Region Codebook Attention](https://huggingface.co/papers/2409.01876) (2024)\n* [Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation](https://huggingface.co/papers/2410.07718) (2024)\n* [PoseTalk: Text-and-Audio-based Pose Control and Motion Refinement for One-Shot Talking Head Generation](https://huggingface.co/papers/2409.02657) (2024)\n* [Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency](https://huggingface.co/papers/2409.02634) (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/2410.13782.json

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+{"paper_url": "https://huggingface.co/papers/2410.13782", "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 deep learning sequence-structure co-generation for protein design](https://huggingface.co/papers/2410.01773) (2024)\n* [ProteinBench: A Holistic Evaluation of Protein Foundation Models](https://huggingface.co/papers/2409.06744) (2024)\n* [Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding](https://huggingface.co/papers/2410.03553) (2024)\n* [nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder](https://huggingface.co/papers/2410.09240) (2024)\n* [Improving Multi-modal Large Language Model through Boosting Vision Capabilities](https://huggingface.co/papers/2410.13733) (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/2410.13787.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2410.13787", "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* [Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?](https://huggingface.co/papers/2409.05197) (2024)\n* [ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering](https://huggingface.co/papers/2410.05077) (2024)\n* [SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs](https://huggingface.co/papers/2410.13648) (2024)\n* [Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language](https://huggingface.co/papers/2410.02472) (2024)\n* [In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models](https://huggingface.co/papers/2409.15454) (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/2410.13828.json

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+{"paper_url": "https://huggingface.co/papers/2410.13828", "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* [Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization](https://huggingface.co/papers/2410.08847) (2024)\n* [ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood](https://huggingface.co/papers/2409.10571) (2024)\n* [Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback](https://huggingface.co/papers/2410.03145) (2024)\n* [SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins](https://huggingface.co/papers/2410.09362) (2024)\n* [Negative-Prompt-driven Alignment for Generative Language Model](https://huggingface.co/papers/2410.12194) (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/2410.13925.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2410.13925", "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* [Diffusion Models Need Visual Priors for Image Generation](https://huggingface.co/papers/2410.08531) (2024)\n* [Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think](https://huggingface.co/papers/2410.06940) (2024)\n* [MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation](https://huggingface.co/papers/2409.19937) (2024)\n* [Dynamic Diffusion Transformer](https://huggingface.co/papers/2410.03456) (2024)\n* [DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation](https://huggingface.co/papers/2410.08159) (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/2410.14059.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2410.14059", "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* [WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback](https://huggingface.co/papers/2408.15549) (2024)\n* [LalaEval: A Holistic Human Evaluation Framework for Domain-Specific Large Language Models](https://huggingface.co/papers/2408.13338) (2024)\n* [A Dutch Financial Large Language Model](https://huggingface.co/papers/2410.12835) (2024)\n* [CREAM: Comparison-Based Reference-Free ELO-Ranked Automatic Evaluation for Meeting Summarization](https://huggingface.co/papers/2409.10883) (2024)\n* [Revisiting Benchmark and Assessment: An Agent-based Exploratory Dynamic Evaluation Framework for LLMs](https://huggingface.co/papers/2410.11507) (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/2410.14208.json

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+{"paper_url": "https://huggingface.co/papers/2410.14208", "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* [Self-Boosting Large Language Models with Synthetic Preference Data](https://huggingface.co/papers/2410.06961) (2024)\n* [Language Imbalance Driven Rewarding for Multilingual Self-improving](https://huggingface.co/papers/2410.08964) (2024)\n* [Self-Judge: Selective Instruction Following with Alignment Self-Evaluation](https://huggingface.co/papers/2409.00935) (2024)\n* [Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data](https://huggingface.co/papers/2409.00096) (2024)\n* [IterSelectTune: An Iterative Training Framework for Efficient Instruction-Tuning Data Selection](https://huggingface.co/papers/2410.13464) (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/2410.14470.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2410.14470", "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* [MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning](https://huggingface.co/papers/2410.01697) (2024)\n* [Are Sparse Neural Networks Better Hard Sample Learners?](https://huggingface.co/papers/2409.09196) (2024)\n* [Characterizing Model Robustness via Natural Input Gradients](https://huggingface.co/papers/2409.20139) (2024)\n* [The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach](https://huggingface.co/papers/2409.17370) (2024)\n* [Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models](https://huggingface.co/papers/2410.05951) (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/2410.14596.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2410.14596", "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* [Training Language Models to Win Debates with Self-Play Improves Judge Accuracy](https://huggingface.co/papers/2409.16636) (2024)\n* [Conformity in Large Language Models](https://huggingface.co/papers/2410.12428) (2024)\n* [Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ?](https://huggingface.co/papers/2410.13517) (2024)\n* [Anchored Alignment for Self-Explanations Enhancement](https://huggingface.co/papers/2410.13216) (2024)\n* [Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations](https://huggingface.co/papers/2409.14399) (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/2410.14669.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2410.14669", "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* [TVBench: Redesigning Video-Language Evaluation](https://huggingface.co/papers/2410.07752) (2024)\n* [MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models](https://huggingface.co/papers/2410.09733) (2024)\n* [Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs](https://huggingface.co/papers/2410.11437) (2024)\n* [VHELM: A Holistic Evaluation of Vision Language Models](https://huggingface.co/papers/2410.07112) (2024)\n* [Trust but Verify: Programmatic VLM Evaluation in the Wild](https://huggingface.co/papers/2410.13121) (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/2410.14672.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2410.14672", "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* [MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation](https://huggingface.co/papers/2409.19937) (2024)\n* [ImageFolder: Autoregressive Image Generation with Folded Tokens](https://huggingface.co/papers/2410.01756) (2024)\n* [MaskBit: Embedding-free Image Generation via Bit Tokens](https://huggingface.co/papers/2409.16211) (2024)\n* [A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation](https://huggingface.co/papers/2410.01912) (2024)\n* [$\\epsilon$-VAE: Denoising as Visual Decoding](https://huggingface.co/papers/2410.04081) (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/2410.14677.json

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+{"paper_url": "https://huggingface.co/papers/2410.14677", "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 Machine-Generated Text Detection Using Mixture of Large Language Models](https://huggingface.co/papers/2409.07615) (2024)\n* [Robust AI-Generated Text Detection by Restricted Embeddings](https://huggingface.co/papers/2410.08113) (2024)\n* [Training-free LLM-generated Text Detection by Mining Token Probability Sequences](https://huggingface.co/papers/2410.06072) (2024)\n* [LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts](https://huggingface.co/papers/2409.03291) (2024)\n* [Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness](https://huggingface.co/papers/2409.16914) (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`"}