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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265 stories
Watermark Basins: Black-Box Detection of Distilled LLMs. It centres on Fine-tuning, and also names AI Safety. 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.
Retiming Robot Demonstrations with a Learned Speed Prior. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Inject a Turn, Not a Token: Learning Where to Redirect LLM Reasoning for Self-Correction. It centres on Fine-tuning, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
MIRROR: From Imitation to Internalization in LLM Personalization. It centres on Fine-tuning, and also names Meta and AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Divergence controls entropy in distillation. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Not Until the Evidence Says So: Teaching LLM Investigators When to Close a Case. The story centres on Fine-tuning. 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.
On Language Drift during RLVR Post-Training. It centres on Reasoning Models, and also names Fine-tuning. 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.
Retrieving Biblical Intertextual References in Karen Blixen's Seven Gothic Tales. It centres on Benchmarks, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI.
Isolated Sign Language Recognition for Icelandic Sign Language: Experiments in a Low-resource Setting. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Funding — the section covering open-weight models, permissive licences and community releases.
From Classifier Heads to Encoder Prototypes: Personalized Federated Learning with Head-Derived Clustering. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Can Language Models Get "Aphasia" From Neuronal Ablation? The story centres on Fine-tuning. 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.
Finetuning with Sampling: SFT Learns Better Than You Think. The story centres on Fine-tuning. 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.
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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.