✨ADD for Multi-Bit Image Watermarking

📝 Summary:
ADD is a multi-bit image watermarking method that uses linear combination and inner product operations for embedding and decoding, achieving high accuracy and efficiency compared to existing approache...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11491
• PDF: https://arxiv.org/pdf/2604.11491

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

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✨TorchUMM: A Unified Multimodal Model Codebase for Evaluation, Analysis, and Post-training

📝 Summary:
TorchUMM presents a unified codebase for evaluating and analyzing multimodal models across understanding, generation, and editing tasks with standardized protocols and diverse datasets. AI-generated s...

🔹 Publication Date: Published on Apr 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.10784
• PDF: https://arxiv.org/pdf/2604.10784
• Project Page: https://aifrontierlab.github.io/TorchUMM/
• Github: https://github.com/AIFrontierLab/TorchUMM

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✨Strips as Tokens: Artist Mesh Generation with Native UV Segmentation

📝 Summary:
SATO introduces a novel token ordering strategy for autoregressive transformers that preserves edge flow and semantic layout in mesh generation through triangle strip-based sequences. AI-generated sum...

🔹 Publication Date: Published on Apr 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.09132
• PDF: https://arxiv.org/pdf/2604.09132
• Project Page: https://ruixu.me/html/SATO/index.html
• Github: https://github.com/Xrvitd/SATO

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✨Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation

📝 Summary:
Transformers face challenges from Attention Sink phenomenon where excessive attention focuses on uninformative tokens, impacting interpretability and performance, necessitating comprehensive research ...

🔹 Publication Date: Published on Apr 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.10098
• PDF: https://arxiv.org/pdf/2604.10098
• Github: https://github.com/ZunhaiSu/Awesome-Attention-Sink

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✨CocoaBench: Evaluating Unified Digital Agents in the Wild

📝 Summary:
A new benchmark called CocoaBench evaluates unified digital agents on complex, multi-capability tasks requiring vision, search, and coding integration, revealing significant room for improvement in cu...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11201
• PDF: https://arxiv.org/pdf/2604.11201
• Project Page: https://cocoabench.github.io/
• Github: https://github.com/cocoabench/cocoa-agent

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

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✨ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

📝 Summary:
ClawGUI is an open-source framework that unifies reinforcement learning training, standardized evaluation, and cross-platform deployment for GUI agents. It provides infrastructure for virtual and real environments, consistent benchmarks, and agent deployment to mobile devices. ClawGUI improves GU...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11784
• PDF: https://arxiv.org/pdf/2604.11784
• Project Page: https://zju-real.github.io/ClawGUI-Page/

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

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✨Introspective Diffusion Language Models

📝 Summary:
Introspective Diffusion Language Models address quality gaps with autoregressive models by enforcing introspective consistency through novel decoding algorithms and optimized inference engines. AI-gen...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11035
• PDF: https://arxiv.org/pdf/2604.11035
• Project Page: https://introspective-diffusion.github.io/
• Github: https://github.com/Introspective-Diffusion/I-DLM

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✨Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music

📝 Summary:
Audio Flamingo Next represents a significant advancement in audio-language modeling with enhanced understanding capabilities, extended audio input lengths, and novel temporal reasoning mechanisms. AI-...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.10905
• PDF: https://arxiv.org/pdf/2604.10905
• Project Page: https://afnext-umd-nvidia.github.io/

🔹 Models citing this paper:
• https://huggingface.co/nvidia/audio-flamingo-next-hf
• https://huggingface.co/nvidia/audio-flamingo-next-captioner-hf
• https://huggingface.co/nvidia/audio-flamingo-next-think-hf

✨ Spaces citing this paper:
• https://huggingface.co/spaces/nvidia/audio-flamingo-next
• https://huggingface.co/spaces/nvidia/audio-flamingo-next-captioner

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

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✨Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach

📝 Summary:
MedSSR enhances medical reasoning in large language models through knowledge-enhanced data synthesis and semi-supervised reinforcement learning, improving performance on rare disease tasks while reduc...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11547
• PDF: https://arxiv.org/pdf/2604.11547
• Github: https://github.com/tdlhl/MedSSR

🔹 Models citing this paper:
• https://huggingface.co/tdlhl/MedSSR-Qwen3-8B-Base

✨ Datasets citing this paper:
• https://huggingface.co/datasets/tdlhl/RareDis-Sub
• https://huggingface.co/datasets/tdlhl/MedSSR-Synthetic-43K

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

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✨Solving Physics Olympiad via Reinforcement Learning on Physics Simulators

📝 Summary:
Physics simulators enable large language models to develop physical reasoning capabilities through synthetic data generation and reinforcement learning, achieving zero-shot transfer to real-world benc...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11805
• PDF: https://arxiv.org/pdf/2604.11805
• Project Page: https://sim2reason.github.io/
• Github: https://github.com/Sim2Reason/Sim2Reason

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

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✨Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs

📝 Summary:
Lineage analysis reveals structural patterns and systemic issues in LLM dataset evolution, enabling more diverse and controlled data curation through lineage-aware sampling approaches. AI-generated su...

🔹 Publication Date: Published on Apr 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.10480
• PDF: https://arxiv.org/pdf/2604.10480
• Project Page: https://arena.opendatalab.org.cn/data-lineage/website/index.html
• Github: https://github.com/Leey21/data-lineage

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

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✨SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?

📝 Summary:
SciPredict benchmark reveals that large language models struggle to accurately predict scientific experiment outcomes and cannot reliably assess prediction confidence, unlike human experts who show be...

🔹 Publication Date: Published on Apr 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.10718
• PDF: https://arxiv.org/pdf/2604.10718
• Project Page: https://github.com/scaleapi/scipredict

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

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✨Zero-shot World Models Are Developmentally Efficient Learners

📝 Summary:
A computational model called Zero-shot Visual World Model demonstrates how children can efficiently learn physical world understanding from limited first-person experiences, generating competent behav...

🔹 Publication Date: Published on Apr 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.10333
• PDF: https://arxiv.org/pdf/2604.10333

🔹 Models citing this paper:
• https://huggingface.co/awwkl/vjepa2-vitl-fpc16-256-babyview-bs3072-e140
• https://huggingface.co/awwkl/dinov3-vitl-babyview

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✨Continuous Adversarial Flow Models

📝 Summary:
Continuous adversarial flow models improve image generation by using an adversarial objective with a learned discriminator to better align samples with target distributions, achieving superior results...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11521
• PDF: https://arxiv.org/pdf/2604.11521

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✨Prompt Relay: Inference-Time Temporal Control for Multi-Event Video Generation

📝 Summary:
Video diffusion models struggle with temporal control and semantic coherence in multi-event sequences, but a new inference-time method enables fine-grained temporal control through cross-attention pen...

🔹 Publication Date: Published on Apr 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.10030
• PDF: https://arxiv.org/pdf/2604.10030
• Project Page: https://gordonchen19.github.io/Prompt-Relay/
• Github: https://github.com/GordonChen19/Prompt-Relay

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✨SPASM: Stable Persona-driven Agent Simulation for Multi-turn Dialogue Generation

📝 Summary:
A modular framework called SPASM is presented for generating stable multi-turn dialogues with consistent personas, addressing issues like persona drift and echoing through a perspective-agnostic conte...

🔹 Publication Date: Published on Apr 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.09212
• PDF: https://arxiv.org/pdf/2604.09212
• Project Page: https://arxiv.org/abs/2604.09212
• Github: https://github.com/lhannnn/SPASM

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✨SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context

📝 Summary:
SWE-AGILE addresses reasoning limitations in software engineering by using dynamic context management to balance detailed analysis with computational efficiency. AI-generated summary Prior representat...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11716
• PDF: https://arxiv.org/pdf/2604.11716
• Github: https://github.com/KDEGroup/SWE-AGILE

🔹 Models citing this paper:
• https://huggingface.co/KDEGroup/SWE-AGILE-RL-8B

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

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✨Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator

📝 Summary:
Uni-ViGU introduces a unified framework for video generation and understanding, uniquely building upon a video generator as its foundation. It uses unified flow matching and a bidirectional training mechanism to achieve competitive performance in both generation and understanding tasks.

🔹 Publication Date: Published on Apr 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.08121
• PDF: https://arxiv.org/pdf/2604.08121
• Project Page: https://fr0zencrane.github.io/uni-vigu-page/
• Github: https://fr0zencrane.github.io/uni-vigu-page/

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✨DiningBench: A Hierarchical Multi-view Benchmark for Perception and Reasoning in the Dietary Domain

📝 Summary:
A new hierarchical, multi-view benchmark called DiningBench is introduced to evaluate vision-language models on fine-grained food classification, nutrition estimation, and visual question answering, r...

🔹 Publication Date: Published on Apr 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.10425
• PDF: https://arxiv.org/pdf/2604.10425
• Github: https://github.com/meituan/DiningBench

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✨Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind

📝 Summary:
Large language models face challenges in theory-of-mind reasoning for adversarial interactions, but reinforcement learning-trained AI double agents demonstrate improved belief manipulation and theory-...

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11666
• PDF: https://arxiv.org/pdf/2604.11666
• Github: https://github.com/The-Inscrutable-X/AIDoubleAgentDefenders

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

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