🔹 Title: WideSearch: Benchmarking Agentic Broad Info-Seeking

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.07999
• PDF: https://arxiv.org/pdf/2508.07999
• Project Page: https://widesearch-seed.github.io/
• Github: https://widesearch-seed.github.io/

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/ByteDance-Seed/WideSearch

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🔹 Title: Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.07981
• PDF: https://arxiv.org/pdf/2508.07981
• Project Page: https://amap-ml.github.io/Omni-Effects.github.io/
• Github: https://github.com/AMAP-ML/Omni-Effects

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/GD-ML/Omni-VFX

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🔹 Title: Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2508.07629
• PDF: https://arxiv.org/pdf/2508.07629
• Project Page: https://github.com/suu990901/KlearReasoner
• Github: https://github.com/suu990901/KlearReasoner

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🔹 Title: UserBench: An Interactive Gym Environment for User-Centric Agents

🔹 Publication Date: Published on Jul 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2507.22034
• PDF: https://arxiv.org/pdf/2507.22034
• Github: https://github.com/SalesforceAIResearch/UserBench

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🔹 Title: BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

🔹 Publication Date: Published on Aug 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.06600
• PDF: https://arxiv.org/pdf/2508.06600
• Project Page: https://texttron.github.io/BrowseComp-Plus/
• Github: https://github.com/texttron/BrowseComp-Plus

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Tevatron/browsecomp-plus-corpus
• https://huggingface.co/datasets/Tevatron/browsecomp-plus

🔹 Spaces citing this paper:
• https://huggingface.co/spaces/Tevatron/BrowseComp-Plus
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🔹 Title: OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks

🔹 Publication Date: Published on Aug 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.05614
• PDF: https://arxiv.org/pdf/2508.05614
• Project Page: https://zju-real.github.io/OmniEmbodied/
• Github: https://zju-real.github.io/OmniEmbodied/

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/wangzx1210/OmniEAR

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🔹 Title: MolmoAct: Action Reasoning Models that can Reason in Space

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.07917
• PDF: https://arxiv.org/pdf/2508.07917

🔹 Datasets citing this paper:
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🔹 Title: Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future

🔹 Publication Date: Published on Aug 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.06026
• PDF: https://arxiv.org/pdf/2508.06026

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🔹 Title: Reinforcement Learning in Vision: A Survey

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.08189
• PDF: https://arxiv.org/pdf/2508.08189
• Github: https://github.com/weijiawu/Awesome-Visual-Reinforcement-Learning

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🔹 Title: SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens

🔹 Publication Date: Published on Aug 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.05305
• PDF: https://arxiv.org/pdf/2508.05305
• Github: https://github.com/FusionBrainLab/SONAR-LLM/tree/main

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🔹 Title: Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.08221
• PDF: https://arxiv.org/pdf/2508.08221

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🔹 Title: Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.08134
• PDF: https://arxiv.org/pdf/2508.08134
• Github: https://github.com/mayuelala/FollowYourShape

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🔹 Title: Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning

🔹 Publication Date: Published on Aug 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.07101
• PDF: https://arxiv.org/pdf/2508.07101
• Github: https://github.com/DerrickYLJ/LessIsMore

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🔹 Title: VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding

🔹 Publication Date: Published on Aug 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.07493
• PDF: https://arxiv.org/pdf/2508.07493
• Github: https://github.com/puar-playground/VisR-Bench

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/puar-playground/VisR-Bench

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🔹 Title: GLiClass: Generalist Lightweight Model for Sequence Classification Tasks

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.07662
• PDF: https://arxiv.org/pdf/2508.07662

🔹 Datasets citing this paper:
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🔹 Title: Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs

🔹 Publication Date: Published on Aug 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.06601
• PDF: https://arxiv.org/pdf/2508.06601

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/EleutherAI/deep-ignorance-pretraining-mix
• https://huggingface.co/datasets/EleutherAI/deep-ignorance-annealing-mix

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🔹 Title: Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents

🔹 Publication Date: Published on Aug 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.05954
• PDF: https://arxiv.org/pdf/2508.05954
• Project Page: https://bifrost-1.github.io/
• Github: https://github.com/HL-hanlin/Bifrost-1

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🔹 Title: When Good Sounds Go Adversarial: Jailbreaking Audio-Language Models with Benign Inputs

🔹 Publication Date: Published on Aug 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.03365
• PDF: https://arxiv.org/pdf/2508.03365

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🔹 Title: Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences

🔹 Publication Date: Published on Aug 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.03542
• PDF: https://arxiv.org/pdf/2508.03542

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🔹 Title: Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts

🔹 Publication Date: Published on Aug 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.07785
• PDF: https://arxiv.org/pdf/2508.07785
• Github: https://github.com/inclusionAI/GroveMoE/

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🔹 Title: A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

🔹 Publication Date: Published on Aug 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.07407
• PDF: https://arxiv.org/pdf/2508.07407

🔹 Datasets citing this paper:
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