The latest AI news, launches, models, companies and research — collected from official sources, research feeds and reporting, grouped into stories and ranked by the BharatHunt Trend Score.
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842 stories
Game Arena: Strategic LLM Evaluation in Competitive Environments. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
A Zeroth-Order Paradigm for LLM Preference Alignment. It centres on AI Safety, and also names Fine-tuning and Mistral AI. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Det-LIME: Detector-Aware, Multi-Instance Local Interpretable Model-Agnostic Explanations for Automated Marine Mammal Detection. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Understanding Operator Attitudes Toward AI-Supported Decision Making in Maritime Operations. The story centres on Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Research and AI Tools, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation. It centres on RAG, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
ReX-GG: a LLM Ensemble Pipeline for Relation-extraction and Graph Generation. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images. It centres on AI Safety, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Research — the section covering text, image, audio and video generation — products and their output.
INVAR-Agri: Detecting Discrepancies in Multilingual Operator Manuals of Agricultural Implements with a Fine-Tuned LLM. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
A Task-Centric Survey of Long-Document Visual Question Answering: Taxonomy, Evolution, and Future Directions. It centres on Benchmarks, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under AI Research and Computer Vision — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Doubly Robust Learning of Heterogeneous Survival Treatment Effects under Time-Varying Treatments. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Concerns in Benchmarking Jailbreaks: An Empirical Study of Attack Success Rates. It centres on Benchmarks, and also names Ollama. Reported by arXiv. Bharat Hunt files it under AI Research and Open Source AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
An Efficient Approach to Beetle Damage Detection of Banana Using Deep Learning. It centres on Inference, and also names NVIDIA and Tesla. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
Our own 0-100 ranking, not an industry metric and not anyone else’s “trending” number. It combines how recently a story was covered (32%), how many independent publications covered it (28%), how fast that coverage is arriving right now (20%), how reliable those sources are (12%) and how many people opened the story (8%).
A story we cannot date carries no score at all rather than a made-up one, so some cards show no badge. Summaries are written by Bharat Hunt from the headline and the coverage — the original article is always the source of truth, and every link goes to the publisher.