✨Video-BrowseComp: Benchmarking Agentic Video Research on Open Web
📝 Summary:
The paper introduces Video-BrowseComp, a benchmark for agentic video research on the open web, addressing the gap in current passive video processing. It requires navigating video timelines for answers, revealing that advanced models struggle with metadata-sparse video content, achieving only 15....
🔹 Publication Date: Published on Dec 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23044
• PDF: https://arxiv.org/pdf/2512.23044
• Project Page: https://liang-zhengyang.github.io/video-browsecomp/
==================================
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📝 Summary:
The paper introduces Video-BrowseComp, a benchmark for agentic video research on the open web, addressing the gap in current passive video processing. It requires navigating video timelines for answers, revealing that advanced models struggle with metadata-sparse video content, achieving only 15....
🔹 Publication Date: Published on Dec 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23044
• PDF: https://arxiv.org/pdf/2512.23044
• Project Page: https://liang-zhengyang.github.io/video-browsecomp/
==================================
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✨Monadic Context Engineering
📝 Summary:
The proliferation of Large Language Models (LLMs) has catalyzed a shift towards autonomous agents capable of complex reasoning and tool use. However, current agent architectures are frequently constru...
🔹 Publication Date: Published on Dec 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22431
• PDF: https://arxiv.org/pdf/2512.22431
• Project Page: https://yifanzhang-pro.github.io/monadic-context-engineering/
• Github: https://github.com/yifanzhang-pro/monadic-context-engineering
==================================
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📝 Summary:
The proliferation of Large Language Models (LLMs) has catalyzed a shift towards autonomous agents capable of complex reasoning and tool use. However, current agent architectures are frequently constru...
🔹 Publication Date: Published on Dec 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22431
• PDF: https://arxiv.org/pdf/2512.22431
• Project Page: https://yifanzhang-pro.github.io/monadic-context-engineering/
• Github: https://github.com/yifanzhang-pro/monadic-context-engineering
==================================
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✨Training AI Co-Scientists Using Rubric Rewards
📝 Summary:
AI co-scientists are emerging as a tool to assist human researchers in achieving their research goals. A crucial feature of these AI co-scientists is the ability to generate a research plan given a se...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23707
• PDF: https://arxiv.org/pdf/2512.23707
==================================
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📝 Summary:
AI co-scientists are emerging as a tool to assist human researchers in achieving their research goals. A crucial feature of these AI co-scientists is the ability to generate a research plan given a se...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23707
• PDF: https://arxiv.org/pdf/2512.23707
==================================
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❤1
✨Nested Browser-Use Learning for Agentic Information Seeking
📝 Summary:
Information-seeking (IS) agents have achieved strong performance across a range of wide and deep search tasks, yet their tool use remains largely restricted to API-level snippet retrieval and URL-base...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23647
• PDF: https://arxiv.org/pdf/2512.23647
==================================
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#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
Information-seeking (IS) agents have achieved strong performance across a range of wide and deep search tasks, yet their tool use remains largely restricted to API-level snippet retrieval and URL-base...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23647
• PDF: https://arxiv.org/pdf/2512.23647
==================================
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✨OmniAgent: Audio-Guided Active Perception Agent for Omnimodal Audio-Video Understanding
📝 Summary:
Omnimodal large language models have made significant strides in unifying audio and visual modalities; however, they often lack the fine-grained cross-modal understanding and have difficulty with mult...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23646
• PDF: https://arxiv.org/pdf/2512.23646
• Project Page: https://kd-tao.github.io/OmniAgent/
• Github: https://kd-tao.github.io/OmniAgent/
==================================
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📝 Summary:
Omnimodal large language models have made significant strides in unifying audio and visual modalities; however, they often lack the fine-grained cross-modal understanding and have difficulty with mult...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23646
• PDF: https://arxiv.org/pdf/2512.23646
• Project Page: https://kd-tao.github.io/OmniAgent/
• Github: https://kd-tao.github.io/OmniAgent/
==================================
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✨SurgWorld: Learning Surgical Robot Policies from Videos via World Modeling
📝 Summary:
Data scarcity remains a fundamental barrier to achieving fully autonomous surgical robots. While large scale vision language action (VLA) models have shown impressive generalization in household and i...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23162
• PDF: https://arxiv.org/pdf/2512.23162
==================================
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#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
Data scarcity remains a fundamental barrier to achieving fully autonomous surgical robots. While large scale vision language action (VLA) models have shown impressive generalization in household and i...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23162
• PDF: https://arxiv.org/pdf/2512.23162
==================================
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❤1
✨An Information Theoretic Perspective on Agentic System Design
📝 Summary:
Agentic language model (LM) systems power modern applications like "Deep Research" and "Claude Code," and leverage multi-LM architectures to overcome context limitations. Beneath their apparent divers...
🔹 Publication Date: Published on Dec 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21720
• PDF: https://arxiv.org/pdf/2512.21720
• Project Page: https://hazyresearch.stanford.edu/blog/2025-12-29-agentic-it
==================================
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📝 Summary:
Agentic language model (LM) systems power modern applications like "Deep Research" and "Claude Code," and leverage multi-LM architectures to overcome context limitations. Beneath their apparent divers...
🔹 Publication Date: Published on Dec 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21720
• PDF: https://arxiv.org/pdf/2512.21720
• Project Page: https://hazyresearch.stanford.edu/blog/2025-12-29-agentic-it
==================================
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✨VL-LN Bench: Towards Long-horizon Goal-oriented Navigation with Active Dialogs
📝 Summary:
A new benchmark for dialog-enabled navigation tasks introduces interactive learning to resolve ambiguous instructions through active dialog, enhancing real-world applicability of embodied agents. AI-g...
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22342
• PDF: https://arxiv.org/pdf/2512.22342
==================================
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📝 Summary:
A new benchmark for dialog-enabled navigation tasks introduces interactive learning to resolve ambiguous instructions through active dialog, enhancing real-world applicability of embodied agents. AI-g...
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22342
• PDF: https://arxiv.org/pdf/2512.22342
==================================
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✨ProGuard: Towards Proactive Multimodal Safeguard
📝 Summary:
The rapid evolution of generative models has led to a continuous emergence of multimodal safety risks, exposing the limitations of existing defense methods. To address these challenges, we propose Pro...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23573
• PDF: https://arxiv.org/pdf/2512.23573
• Project Page: https://yushaohan.github.io/ProGuard/
• Github: https://huggingface.co/collections/yushaohan/proguard
==================================
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📝 Summary:
The rapid evolution of generative models has led to a continuous emergence of multimodal safety risks, exposing the limitations of existing defense methods. To address these challenges, we propose Pro...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23573
• PDF: https://arxiv.org/pdf/2512.23573
• Project Page: https://yushaohan.github.io/ProGuard/
• Github: https://huggingface.co/collections/yushaohan/proguard
==================================
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✨Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting
📝 Summary:
Recent advancements in computer vision have successfully extended Open-vocabulary segmentation (OVS) to the 3D domain by leveraging 3D Gaussian Splatting (3D-GS). Despite this progress, efficiently re...
🔹 Publication Date: Published on Dec 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.20927
• PDF: https://arxiv.org/pdf/2512.20927
• Project Page: https://jaesung-choe.github.io/qrender/index.html
• Github: https://jaesung-choe.github.io/qrender/index.html
==================================
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📝 Summary:
Recent advancements in computer vision have successfully extended Open-vocabulary segmentation (OVS) to the 3D domain by leveraging 3D Gaussian Splatting (3D-GS). Despite this progress, efficiently re...
🔹 Publication Date: Published on Dec 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.20927
• PDF: https://arxiv.org/pdf/2512.20927
• Project Page: https://jaesung-choe.github.io/qrender/index.html
• Github: https://jaesung-choe.github.io/qrender/index.html
==================================
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✨Knot Forcing: Taming Autoregressive Video Diffusion Models for Real-time Infinite Interactive Portrait Animation
📝 Summary:
Real-time portrait animation is essential for interactive applications such as virtual assistants and live avatars, requiring high visual fidelity, temporal coherence, ultra-low latency, and responsiv...
🔹 Publication Date: Published on Dec 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21734
• PDF: https://arxiv.org/pdf/2512.21734
==================================
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📝 Summary:
Real-time portrait animation is essential for interactive applications such as virtual assistants and live avatars, requiring high visual fidelity, temporal coherence, ultra-low latency, and responsiv...
🔹 Publication Date: Published on Dec 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21734
• PDF: https://arxiv.org/pdf/2512.21734
==================================
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❤1
✨Bridging Your Imagination with Audio-Video Generation via a Unified Director
📝 Summary:
A unified director model leveraging a Mixture-of-Transformers architecture with interleaved and disentangled learning generates coherent video scripts and consistent keyframes through a single framewo...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23222
• PDF: https://arxiv.org/pdf/2512.23222
• Project Page: https://kebii.github.io/UniMAGE/
==================================
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📝 Summary:
A unified director model leveraging a Mixture-of-Transformers architecture with interleaved and disentangled learning generates coherent video scripts and consistent keyframes through a single framewo...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23222
• PDF: https://arxiv.org/pdf/2512.23222
• Project Page: https://kebii.github.io/UniMAGE/
==================================
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✨Reverse Personalization
📝 Summary:
A reverse personalization framework using conditional diffusion inversion enables attribute-controllable face anonymization, balancing identity removal and image quality. AI-generated summary Recent t...
🔹 Publication Date: Published on Dec 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22984
• PDF: https://arxiv.org/pdf/2512.22984
• Github: https://github.com/hanweikung/reverse-personalization
==================================
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📝 Summary:
A reverse personalization framework using conditional diffusion inversion enables attribute-controllable face anonymization, balancing identity removal and image quality. AI-generated summary Recent t...
🔹 Publication Date: Published on Dec 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22984
• PDF: https://arxiv.org/pdf/2512.22984
• Github: https://github.com/hanweikung/reverse-personalization
==================================
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✨YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
📝 Summary:
YOLO-Master proposes an Efficient Sparse Mixture-of-Experts ES-MoE block for real-time object detection. It adaptively allocates computational resources based on scene complexity using a dynamic routing network, overcoming static computation limits. This improves accuracy and speed, especially on...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23273
• PDF: https://arxiv.org/pdf/2512.23273
==================================
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#ObjectDetection #YOLO #MixtureOfExperts #Transformers #RealTimeAI
📝 Summary:
YOLO-Master proposes an Efficient Sparse Mixture-of-Experts ES-MoE block for real-time object detection. It adaptively allocates computational resources based on scene complexity using a dynamic routing network, overcoming static computation limits. This improves accuracy and speed, especially on...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23273
• PDF: https://arxiv.org/pdf/2512.23273
==================================
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❤1
✨Introducing TrGLUE and SentiTurca: A Comprehensive Benchmark for Turkish General Language Understanding and Sentiment Analysis
📝 Summary:
Evaluating the performance of various model architectures, such as transformers, large language models (LLMs), and other NLP systems, requires comprehensive benchmarks that measure performance across ...
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22100
• PDF: https://arxiv.org/pdf/2512.22100
✨ Datasets citing this paper:
• https://huggingface.co/datasets/turkish-nlp-suite/TrGLUE
==================================
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📝 Summary:
Evaluating the performance of various model architectures, such as transformers, large language models (LLMs), and other NLP systems, requires comprehensive benchmarks that measure performance across ...
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22100
• PDF: https://arxiv.org/pdf/2512.22100
✨ Datasets citing this paper:
• https://huggingface.co/datasets/turkish-nlp-suite/TrGLUE
==================================
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✨Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation
📝 Summary:
The primary obstacle for applying reinforcement learning (RL) to real-world robotics is the design of effective reward functions. While recently learning-based Process Reward Models (PRMs) are a promi...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23703
• PDF: https://arxiv.org/pdf/2512.23703
• Project Page: https://robo-dopamine.github.io/
• Github: https://github.com/FlagOpen/Robo-Dopamine
==================================
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📝 Summary:
The primary obstacle for applying reinforcement learning (RL) to real-world robotics is the design of effective reward functions. While recently learning-based Process Reward Models (PRMs) are a promi...
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23703
• PDF: https://arxiv.org/pdf/2512.23703
• Project Page: https://robo-dopamine.github.io/
• Github: https://github.com/FlagOpen/Robo-Dopamine
==================================
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❤1
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✨KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta
📝 Summary:
KernelEvolve is an agentic kernel coding framework for deep learning recommendation models. It automates kernel generation and optimization for diverse AI accelerators, significantly improving performance and reducing development time on heterogeneous hardware at scale.
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23236
• PDF: https://arxiv.org/pdf/2512.23236
==================================
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📝 Summary:
KernelEvolve is an agentic kernel coding framework for deep learning recommendation models. It automates kernel generation and optimization for diverse AI accelerators, significantly improving performance and reducing development time on heterogeneous hardware at scale.
🔹 Publication Date: Published on Dec 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23236
• PDF: https://arxiv.org/pdf/2512.23236
==================================
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✨Shape of Thought: When Distribution Matters More than Correctness in Reasoning Tasks
📝 Summary:
We present the surprising finding that a language model's reasoning capabilities can be improved by training on synthetic datasets of chain-of-thought (CoT) traces from more capable models, even when ...
🔹 Publication Date: Published on Dec 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22255
• PDF: https://arxiv.org/pdf/2512.22255
==================================
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📝 Summary:
We present the surprising finding that a language model's reasoning capabilities can be improved by training on synthetic datasets of chain-of-thought (CoT) traces from more capable models, even when ...
🔹 Publication Date: Published on Dec 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22255
• PDF: https://arxiv.org/pdf/2512.22255
==================================
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✨Self-Evaluation Unlocks Any-Step Text-to-Image Generation
📝 Summary:
Self-E is a novel self-evaluating text-to-image model trained from scratch that supports any-step generation and combines local learning with self-driven global matching to achieve high quality even a...
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22374
• PDF: https://arxiv.org/pdf/2512.22374
• Project Page: https://xinyu-andy.github.io/SelfE-project/
==================================
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📝 Summary:
Self-E is a novel self-evaluating text-to-image model trained from scratch that supports any-step generation and combines local learning with self-driven global matching to achieve high quality even a...
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22374
• PDF: https://arxiv.org/pdf/2512.22374
• Project Page: https://xinyu-andy.github.io/SelfE-project/
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#AI #DataScience #MachineLearning #HuggingFace #Research