🔹 Title: When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04849
• PDF: https://arxiv.org/pdf/2510.04849

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/s-nlp/PsiloQA

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🔹 Title: On Pretraining for Project-Level Code Completion

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13697
• PDF: https://arxiv.org/pdf/2510.13697
• Project Page: https://huggingface.co/collections/JetBrains-Research/repository-level-pre-trained-opencoder-68e938c003be1cfba9c3595e

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🤖🧠 NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs

🗓️ 17 Oct 2025
📚 AI News & Trends

The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ...

#QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity

🔹 Title: Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14961
• PDF: https://arxiv.org/pdf/2510.14961
• Github: https://github.com/seal-rg/recurrent-pretraining

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🤖🧠 Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents

🗓️ 17 Oct 2025
📚 AI News & Trends

AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...

#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization

🔹 Title: SimKO: Simple Pass@K Policy Optimization

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14807
• PDF: https://arxiv.org/pdf/2510.14807
• Project Page: https://spherelab.ai/simko/
• Github: https://github.com/CLR-Lab/SimKO

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🔹 Title: Agentic Design of Compositional Machines

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14980
• PDF: https://arxiv.org/pdf/2510.14980
• Project Page: https://besiegefield.github.io/
• Github: https://besiegefield.github.io/

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🔹 Title: GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14942
• PDF: https://arxiv.org/pdf/2510.14942

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🔹 Title: Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13161
• PDF: https://arxiv.org/pdf/2510.13161

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🔹 Title: Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13913
• PDF: https://arxiv.org/pdf/2510.13913

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🔹 Title: FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth

🔹 Publication Date: Published on Oct 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10472
• PDF: https://arxiv.org/pdf/2510.10472
• Project Page: https://github.com/qrzou/FML-bench
• Github: https://github.com/qrzou/FML-bench

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🔹 Title: Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14095
• PDF: https://arxiv.org/pdf/2510.14095
• Github: https://github.com/Awni00/algorithmic-generalization-transformer-architectures

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🔹 Title: LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14240
• PDF: https://arxiv.org/pdf/2510.14240

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🔹 Title: LLMs Can Get "Brain Rot"!

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13928
• PDF: https://arxiv.org/pdf/2510.13928

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🔹 Title: Predicting Task Performance with Context-aware Scaling Laws

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14919
• PDF: https://arxiv.org/pdf/2510.14919
• Github: https://github.com/wang-research-lab/context-scaling

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🔹 Title: Budget-aware Test-time Scaling via Discriminative Verification

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14913
• PDF: https://arxiv.org/pdf/2510.14913
• Github: https://github.com/wang-research-lab/verification

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🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

🗓️ 18 Oct 2025
📚 AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel

🤖🧠 Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents

🗓️ 19 Oct 2025
📚 AI News & Trends

In today’s rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, it’s a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ...

#AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation

🔹 Title: MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14265
• PDF: https://arxiv.org/pdf/2510.14265
• Github: https://github.com/OpenDCAI/MorphoBench

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