✨Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes

📝 Summary:
A two-stage framework for diffusion model alignment using hierarchical evaluation criteria and complex preference optimization demonstrates improved generation quality and expert alignment. AI-generat...

🔹 Publication Date: Published on Jan 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.04300
• PDF: https://arxiv.org/pdf/2601.04300

==================================

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✨Learning User Preferences Through Interaction for Long-Term Collaboration

📝 Summary:
MultiSessionCollab benchmark evaluates agents' ability to learn and adapt to user preferences through persistent memory systems that enhance long-term collaboration quality. AI-generated summary As co...

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02702
• PDF: https://arxiv.org/pdf/2601.02702

==================================

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✨Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach

📝 Summary:
Learning Using Privileged Information paradigm enhances object detection accuracy by integrating additional training-time information through teacher-student architectures without increasing inference...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02016
• PDF: https://arxiv.org/pdf/2601.02016
• Github: https://github.com/mbar0075/lupi-for-object-detection

==================================

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✨LEMAS: Large A 150K-Hour Large-scale Extensible Multilingual Audio Suite with Generative Speech Models

📝 Summary:
The LEMAS-Dataset enables high-quality multilingual speech synthesis and editing through specialized models leveraging flow-matching and autoregressive architectures with novel training techniques. AI...

🔹 Publication Date: Published on Jan 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.04233
• PDF: https://arxiv.org/pdf/2601.04233
• Project Page: https://huggingface.co/spaces/LEMAS-Project/LEMAS-Edit

🔹 Models citing this paper:
• https://huggingface.co/LEMAS-Project/LEMAS-TTS
• https://huggingface.co/LEMAS-Project/LEMAS-Edit

✨ Datasets citing this paper:
• https://huggingface.co/datasets/LEMAS-Project/LEMAS-Dataset-train
• https://huggingface.co/datasets/LEMAS-Project/LEMAS-Dataset-eval

✨ Spaces citing this paper:
• https://huggingface.co/spaces/LEMAS-Project/LEMAS-TTS
• https://huggingface.co/spaces/LEMAS-Project/LEMAS-Edit
• https://huggingface.co/spaces/Kaiden423/LEMAS-TTS

==================================

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✨VERSE: Visual Embedding Reduction and Space Exploration. Clustering-Guided Insights for Training Data Enhancement in Visually-Rich Document Understanding

📝 Summary:
VERSE is a methodology for analyzing and improving Vision-Language Models in document understanding by visualizing latent representations and generating synthetic data to enhance performance in error-...

🔹 Publication Date: Published on Jan 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.05125
• PDF: https://arxiv.org/pdf/2601.05125
• Project Page: https://huggingface.co/spaces/de-Rodrigo/Embeddings
• Github: https://github.com/nachoDRT/VrDU-Doctor

✨ Datasets citing this paper:
• https://huggingface.co/datasets/de-Rodrigo/merit

✨ Spaces citing this paper:
• https://huggingface.co/spaces/de-Rodrigo/Embeddings
• https://huggingface.co/spaces/de-Rodrigo/saliencies

==================================

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✨Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance

📝 Summary:
Safety alignment of large language models can be fully recovered with a single safety example, maintaining utility and achieving convergence in few epochs through identified low-rank gradient structur...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01887
• PDF: https://arxiv.org/pdf/2601.01887

==================================

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✨MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

📝 Summary:
We present MiroThinker v1.0, an open-source research agent designed to advance tool-augmented reasoning and information-seeking capabilities. Unlike previous agents that only scale up model size or co...

🔹 Publication Date: Published on Nov 14, 2025

🔹 Paper Links:
• arXiv Page: https://arxivlens.com/PaperView/Details/mirothinker-pushing-the-performance-boundaries-of-open-source-research-agents-via-model-context-and-interactive-scaling-9611-0f2289e7
• PDF: https://arxiv.org/pdf/2511.11793
• Project Page: https://dr.miromind.ai/
• Github: https://github.com/MiroMindAI/MiroThinker

🔹 Models citing this paper:
• https://huggingface.co/miromind-ai/MiroThinker-v1.5-235B
• https://huggingface.co/miromind-ai/MiroThinker-v1.5-30B
• https://huggingface.co/miromind-ai/MiroThinker-v1.0-72B

✨ Datasets citing this paper:
• https://huggingface.co/datasets/miromind-ai/MiroVerse-v0.1

✨ Spaces citing this paper:
• https://huggingface.co/spaces/zoom-ai/hle-leaderboard
• https://huggingface.co/spaces/miromind-ai/MiroMind-Open-Source-Deep-Research

==================================

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✨LTX-2: Efficient Joint Audio-Visual Foundation Model

📝 Summary:
LTX-2 is an open-source audiovisual diffusion model that generates synchronized video and audio content using a dual-stream transformer architecture with cross-modal attention and classifier-free guid...

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03233
• PDF: https://arxiv.org/pdf/2601.03233
• Project Page: https://huggingface.co/papers/2511.12072
• Github: https://github.com/Lightricks/LTX-2

🔹 Models citing this paper:
• https://huggingface.co/Lightricks/LTX-2
• https://huggingface.co/unsloth/LTX-2-GGUF
• https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Canny-Control

✨ Spaces citing this paper:
• https://huggingface.co/spaces/Lightricks/ltx-2-distilled
• https://huggingface.co/spaces/Lightricks/ltx-2
• https://huggingface.co/spaces/alexnasa/ltx-2-TURBO

==================================

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✨SimpleMem: Efficient Lifelong Memory for LLM Agents

📝 Summary:
To support reliable long-term interaction in complex environments, LLM agents require memory systems that efficiently manage historical experiences. Existing approaches either retain full interaction ...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02553
• PDF: https://arxiv.org/pdf/2601.02553
• Project Page: https://aiming-lab.github.io/SimpleMem-Page/
• Github: https://aiming-lab.github.io/SimpleMem-Page/

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✨SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion

📝 Summary:
SmolDocling is a compact vision-language model that performs end-to-end document conversion with robust performance across various document types using 256M parameters and a new markup format. AI-gene...

🔹 Publication Date: Published on Mar 14, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2503.11576
• PDF: https://huggingface.co/papers/2502.18443
• Project Page: https://huggingface.co/spaces/docling-project/SmolDocling-256M-Demo
• Github: https://github.com/docling-project/docling

🔹 Models citing this paper:
• https://huggingface.co/docling-project/SmolDocling-256M-preview
• https://huggingface.co/ibm-granite/granite-docling-258M
• https://huggingface.co/prithivMLmods/granite-docling-258M-f32-GGUF

✨ Datasets citing this paper:
• https://huggingface.co/datasets/HuggingFaceM4/DoclingMatix
• https://huggingface.co/datasets/docling-project/SynthCodeNet
• https://huggingface.co/datasets/docling-project/SynthFormulaNet

✨ Spaces citing this paper:
• https://huggingface.co/spaces/ibm-granite/granite-docling-258m-demo
• https://huggingface.co/spaces/ibm-granite/granite-docling-258M-WebGPU
• https://huggingface.co/spaces/docling-project/SmolDocling-256M-Demo

==================================

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✨VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos

📝 Summary:
VideoRAG enhances large language models for multi-modal video processing with a dual-channel architecture that integrates textual knowledge grounding and multi-modal context encoding. AI-generated sum...

🔹 Publication Date: Published on Feb 3, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2502.01549
• PDF: https://arxiv.org/pdf/2502.01549
• Github: https://github.com/hkuds/videorag

==================================

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✨Agent READMEs: An Empirical Study of Context Files for Agentic Coding

📝 Summary:
Agentic coding tools receive goals written in natural language as input, break them down into specific tasks, and write or execute the actual code with minimal human intervention. Central to this proc...

🔹 Publication Date: Published on Nov 17, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.12884
• PDF: https://arxiv.org/pdf/2511.12884
• Project Page: https://huggingface.co/papers/2511.03404
• Github: https://github.com/openai/agents.md

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✨Bitnet.cpp: Efficient Edge Inference for Ternary LLMs

📝 Summary:
Bitnet.cpp enhances edge inference for ternary LLMs using a novel mixed-precision matrix multiplication library, achieving significant speed improvements over baselines. AI-generated summary The adven...

🔹 Publication Date: Published on Feb 17, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2502.11880
• PDF: https://arxiv.org/pdf/2502.11880
• Github: https://github.com/microsoft/BitNet/tree/paper

==================================

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✨BitNet b1.58 2B4T Technical Report

📝 Summary:
BitNet b1.58 2B4T, a 1-bit Large Language Model with 2 billion parameters, matches the performance of full-precision models while improving computational efficiency. AI-generated summary We introduce ...

🔹 Publication Date: Published on Apr 16, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2504.12285
• PDF: https://arxiv.org/pdf/2504.12285
• Github: https://github.com/microsoft/bitnet

🔹 Models citing this paper:
• https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
• https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-gguf
• https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-bf16

✨ Spaces citing this paper:
• https://huggingface.co/spaces/suayptalha/Chat-with-Bitnet-b1.58-2B-4T
• https://huggingface.co/spaces/aizip-dev/SLM-RAG-Arena
• https://huggingface.co/spaces/Tonic/Native_1-bit_LLM

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✨BitNet Distillation

📝 Summary:
BitNet Distillation fine-tunes large language models to 1.58-bit precision using SubLN, multi-head attention distillation, and continual pre-training, achieving comparable performance with significant...

🔹 Publication Date: Published on Oct 15, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13998
• PDF: https://arxiv.org/pdf/2510.13998
• Github: https://github.com/microsoft/BitNet

==================================

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