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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3337 stories
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.
Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Navigating the digital spectrum: Assessing political bias, stability, and downstream fairness in Large Language Models. It centres on Benchmarks, and also names Gemma and Qwen. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
BDBBQ: A Human-AI Collaborative Benchmark for Bengali Social Bias in LLMs. It centres on Benchmarks, and also names Mistral AI and Gemma. 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.
Flow-Guided Target-Space Alignment via Path Consistency. It centres on AI Safety, and also names Multimodal and Inference. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
SpecCTMC: Exact Speculative Simulation of Diffusion Language Model Continuous-Time Markov Chains. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Models — the section covering text, image, audio and video generation — products and their output.
From Twisted Facts to Rogue Agents: Can LLMs Reliably Detect Multi-Dimensional Hallucinations? It centres on Benchmarks, and also names 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.
TCSExam: Evaluating Frontier LLMs on the Full Range of TCS Research. It centres on Tata Consultancy Services, and also names Benchmarks and GPT. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
LibriSpeech-Real-QA: A Benchmark for Streaming Question Answering. 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. Open the original report for the full detail.
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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.