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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5193 stories
How Well Do Decision Models Transfer to Vietnamese? An Empirical Study of Text Classification. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
How Depth Growth and Looping Shape In-Context Learning in Language Models. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Post-Hoc Feature Selection Layer for Neural Networks Interpretability. The story centres on Fine-tuning. 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.
SyRA-CS: Synthetic-to-Real Adaptation for Code-Switched ASR with Meta-Learning. It centres on Meta, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Major Revision, Minor Accountability: LLMs as Reviewers of Published Articles in Top-Tier Journals. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
SQuAT: Spherical Lattice Vector Quantization-Aware Training. The story centres on Llama. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Same Entity, Different Script: Diagnosing Cross-Script Entity Matching Failures in Language Models. It centres on Benchmarks, and also names Qwen. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
AgentPhishing: A Benchmark of LLM Email Agents Under Adaptive Attack. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Parameter-Efficient Adaptation of Large Language Models to a Low-Resource Agglutinative Language: A Corpus, Datasets, and a Reproducible Benchmark for the Bashkir Language. It centres on Benchmarks, and also names GPT and Phi. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research.
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.
AI Risk Ontologies for the EU AI Act Compliance: AIRO, VAIR, and their Integration with DPV. Reported by arXiv. Bharat Hunt files it under AI Regulation and Enterprise AI — the section covering law, policy, courts, standards and government positions on AI.
Certified Execution Harness for Agentic AI: Safe and Least-Intrusive Petri-Net Supervisory Control Between Reasoning and Action. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories
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.