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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · r/LocalLLaMA English(EN) ·

    AI content detector based on Qwen 0.8b fine-tuned on Pangram dataset

    A developer has created a Chrome extension called "Slop Hammer" that uses a fine-tuned Qwen 0.8B model to detect AI-generated content. The model, trained on the Pangram dataset from their EditLens paper, runs locally and provides a probability distribution of AI generation. While effective on older LLM outputs, it shows limitations with newer models like GPT-5.5. AI

    AI content detector based on Qwen 0.8b fine-tuned on Pangram dataset

    IMPACT Provides a localized tool for identifying AI-generated text, with limitations on newer models.

  2. RESEARCH · arXiv cs.CL English(EN) · · [2 sources]

    Polite on the Surface, Wrong in Practice: A Curated Dataset for Fixing Honorific Failures in Multilingual Bangla Generation

    Researchers have developed a new dataset and benchmarking framework called BLADE to address honorific failures in multilingual Bangla text generation. This dataset comprises over 4,000 curated interaction pairs designed to improve the cultural nuance and context-dependent communication of large language models. Fine-tuning models like DeepSeek-8B and LLaMA-3.2-3B on BLADE has shown significant improvements in structural fidelity and honorific alignment for low-resource languages. AI

    IMPACT Enhances multilingual LLM capabilities by addressing cultural nuances and honorifics in low-resource languages like Bangla.

  3. TOOL · Hugging Face Daily Papers English(EN) ·

    CRAFT: Critic-Refined Adaptive Key-Frame Targeting for Multimodal Video Question Answering

    Researchers have developed CRAFT, a novel pipeline designed for multimodal video question answering that focuses on accurately identifying and verifying claims within news archives. This system dynamically selects keyframes, utilizes automatic speech recognition with multilingual support, and employs an iterative critic loop to refine and correct claims. CRAFT demonstrated superior performance on the MAGMaR 2026 benchmark, achieving the highest scores in overall average, reference recall, and citation F1. AI

    IMPACT Introduces a new method for grounding claims in video evidence, potentially improving the reliability of AI-driven video analysis and summarization.