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  1. data/2509.06216.json +1 -0
  2. data/2509.06482.json +1 -0
  3. data/2509.09307.json +1 -0
  4. data/2509.10397.json +1 -0
  5. data/2509.13160.json +1 -0
  6. data/2509.14233.json +1 -0
  7. data/2509.14284.json +1 -0
  8. data/2509.14476.json +1 -0
  9. data/2509.15130.json +1 -0
  10. data/2509.15178.json +1 -0
  11. data/2509.15207.json +1 -0
data/2509.06216.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.06216", "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* [AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation](https://huggingface.co/papers/2507.19902) (2025)\n* [AI Agentic Programming: A Survey of Techniques, Challenges, and Opportunities](https://huggingface.co/papers/2508.11126) (2025)\n* [Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code](https://huggingface.co/papers/2508.08322) (2025)\n* [Vibe Coding as a Reconfiguration of Intent Mediation in Software Development: Definition, Implications, and Research Agenda](https://huggingface.co/papers/2507.21928) (2025)\n* [EnvX: Agentize Everything with Agentic AI](https://huggingface.co/papers/2509.08088) (2025)\n* [Agentic AI Frameworks: Architectures, Protocols, and Design Challenges](https://huggingface.co/papers/2508.10146) (2025)\n* [AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications](https://huggingface.co/papers/2508.16279) (2025)\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/2509.06482.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.06482", "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* [Wavelet-Guided Dual-Frequency Encoding for Remote Sensing Change Detection](https://huggingface.co/papers/2508.05271) (2025)\n* [Mamba-FCS: Joint Spatio- Frequency Feature Fusion, Change-Guided Attention, and SeK Loss for Enhanced Semantic Change Detection in Remote Sensing](https://huggingface.co/papers/2508.08232) (2025)\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/2509.09307.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.09307", "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* [MatQnA: A Benchmark Dataset for Multi-modal Large Language Models in Materials Characterization and Analysis](https://huggingface.co/papers/2509.11335) (2025)\n* [Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis](https://huggingface.co/papers/2509.09254) (2025)\n* [MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models](https://huggingface.co/papers/2508.13938) (2025)\n* [Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments](https://huggingface.co/papers/2509.00176) (2025)\n* [UniEM-3M: A Universal Electron Micrograph Dataset for Microstructural Segmentation and Generation](https://huggingface.co/papers/2508.16239) (2025)\n* [MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine](https://huggingface.co/papers/2508.02951) (2025)\n* [GenExam: A Multidisciplinary Text-to-Image Exam](https://huggingface.co/papers/2509.14232) (2025)\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/2509.10397.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.10397", "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* [STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning](https://huggingface.co/papers/2508.18812) (2025)\n* [Research on Conversational Recommender System Considering Consumer Types](https://huggingface.co/papers/2508.13209) (2025)\n* [Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation](https://huggingface.co/papers/2508.18142) (2025)\n* [RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenders](https://huggingface.co/papers/2508.05289) (2025)\n* [Towards Comprehensible Recommendation with Large Language Model Fine-tuning](https://huggingface.co/papers/2508.07595) (2025)\n* [CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback](https://huggingface.co/papers/2509.09342) (2025)\n* [Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation](https://huggingface.co/papers/2508.05657) (2025)\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/2509.13160.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.13160", "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* [WideSearch: Benchmarking Agentic Broad Info-Seeking](https://huggingface.co/papers/2508.07999) (2025)\n* [FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering](https://huggingface.co/papers/2508.14052) (2025)\n* [FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging](https://huggingface.co/papers/2508.04625) (2025)\n* [A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation](https://huggingface.co/papers/2508.12282) (2025)\n* [FinGAIA: A Chinese Benchmark for AI Agents in Real-World Financial Domain](https://huggingface.co/papers/2507.17186) (2025)\n* [BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent](https://huggingface.co/papers/2508.06600) (2025)\n* [XFinBench: Benchmarking LLMs in Complex Financial Problem Solving and Reasoning](https://huggingface.co/papers/2508.15861) (2025)\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/2509.14233.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.14233", "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* [Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance](https://huggingface.co/papers/2507.22448) (2025)\n* [Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian](https://huggingface.co/papers/2509.05668) (2025)\n* [Cetvel: A Unified Benchmark for Evaluating Language Understanding, Generation and Cultural Capacity of LLMs for Turkish](https://huggingface.co/papers/2508.16431) (2025)\n* [Evaluating Multilingual and Code-Switched Alignment in LLMs via Synthetic Natural Language Inference](https://huggingface.co/papers/2508.14735) (2025)\n* [Continually Adding New Languages to Multilingual Language Models](https://huggingface.co/papers/2509.11414) (2025)\n* [Bridging Language Gaps: Enhancing Few-Shot Language Adaptation](https://huggingface.co/papers/2508.19464) (2025)\n* [Dynaword: From One-shot to Continuously Developed Datasets](https://huggingface.co/papers/2508.02271) (2025)\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/2509.14284.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.14284", "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* [1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning](https://huggingface.co/papers/2508.07667) (2025)\n* [Searching for Privacy Risks in LLM Agents via Simulation](https://huggingface.co/papers/2508.10880) (2025)\n* [Network-Level Prompt and Trait Leakage in Local Research Agents](https://huggingface.co/papers/2508.20282) (2025)\n* [Enterprise AI Must Enforce Participant-Aware Access Control](https://huggingface.co/papers/2509.14608) (2025)\n* [PromptSleuth: Detecting Prompt Injection via Semantic Intent Invariance](https://huggingface.co/papers/2508.20890) (2025)\n* [Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation](https://huggingface.co/papers/2508.03098) (2025)\n* [Beyond Data Privacy: New Privacy Risks for Large Language Models](https://huggingface.co/papers/2509.14278) (2025)\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/2509.14476.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.14476", "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* [UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding](https://huggingface.co/papers/2508.11952) (2025)\n* [UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing](https://huggingface.co/papers/2507.23278) (2025)\n* [Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation](https://huggingface.co/papers/2508.03320) (2025)\n* [WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction](https://huggingface.co/papers/2508.05599) (2025)\n* [RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization](https://huggingface.co/papers/2508.09459) (2025)\n* [OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better](https://huggingface.co/papers/2508.09857) (2025)\n* [Missing Fine Details in Images: Last Seen in High Frequencies](https://huggingface.co/papers/2509.05441) (2025)\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/2509.15130.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.15130", "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 3D-Aware Trajectory-Guided image-to-video generation via Test-Time Training](https://huggingface.co/papers/2509.06723) (2025)\n* [IDCNet: Guided Video Diffusion for Metric-Consistent RGBD Scene Generation with Precise Camera Control](https://huggingface.co/papers/2508.04147) (2025)\n* [Dream4D: Lifting Camera-Controlled I2V towards Spatiotemporally Consistent 4D Generation](https://huggingface.co/papers/2508.07769) (2025)\n* [GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors](https://huggingface.co/papers/2508.09667) (2025)\n* [4DNeX: Feed-Forward 4D Generative Modeling Made Easy](https://huggingface.co/papers/2508.13154) (2025)\n* [MultiEditor: Controllable Multimodal Object Editing for Driving Scenarios Using 3D Gaussian Splatting Priors](https://huggingface.co/papers/2507.21872) (2025)\n* [GSFix3D: Diffusion-Guided Repair of Novel Views in Gaussian Splatting](https://huggingface.co/papers/2508.14717) (2025)\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/2509.15178.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.15178", "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* [Harnessing Object Grounding for Time-Sensitive Video Understanding](https://huggingface.co/papers/2509.06335) (2025)\n* [Object-centric Video Question Answering with Visual Grounding and Referring](https://huggingface.co/papers/2507.19599) (2025)\n* [SAMDWICH: Moment-aware Video-text Alignment for Referring Video Object Segmentation](https://huggingface.co/papers/2508.11955) (2025)\n* [SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding](https://huggingface.co/papers/2508.06763) (2025)\n* [When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding](https://huggingface.co/papers/2508.15641) (2025)\n* [TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding](https://huggingface.co/papers/2508.01699) (2025)\n* [KFFocus: Highlighting Keyframes for Enhanced Video Understanding](https://huggingface.co/papers/2508.08989) (2025)\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/2509.15207.json ADDED
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+ {"paper_url": "https://huggingface.co/papers/2509.15207", "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* [Revisiting LLM Reasoning via Information Bottleneck](https://huggingface.co/papers/2507.18391) (2025)\n* [RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization](https://huggingface.co/papers/2508.00222) (2025)\n* [Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR](https://huggingface.co/papers/2509.02522) (2025)\n* [COPO: Consistency-Aware Policy Optimization](https://huggingface.co/papers/2508.04138) (2025)\n* [Geometric-Mean Policy Optimization](https://huggingface.co/papers/2507.20673) (2025)\n* [Inpainting-Guided Policy Optimization for Diffusion Large Language Models](https://huggingface.co/papers/2509.10396) (2025)\n* [Posterior-GRPO: Rewarding Reasoning Processes in Code Generation](https://huggingface.co/papers/2508.05170) (2025)\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`"}