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A new arXiv paper identifies a gap in LLM unlearning: an agent may stop recalling information from its weights but recover it through web search, retrieval or database tools. The authors propose a two-stage method to reduce both forms of recovery while preserving legitimate tool use.
Harvard Business School’s eight-week HBS Foundry bootcamp uses conversational AI agents and video avatars modeled on faculty members to coach aspiring entrepreneurs, The Asia Business Daily reports, citing The New York Times.
A new arXiv paper proposes replacing raw retrieved passages with compact, keyword-grounded facts to reduce the risk that prompt injections cause retrieval-augmented generation systems to expose sensitive database contents.
An arXiv preprint introduces MCite-RL, a framework that uses iterative retrieval, reasoning, recursive image cropping and citation-focused reinforcement learning to improve both multimodal answers and the accuracy of their visual evidence links.
MediaNama reports that the Gujarat High Court set aside GST proceedings after a tax officer relied exclusively on non-existent or irrelevant AI-generated judgments, and ordered fresh adjudication under stricter verification rules.
A preprint reports that language models can appear to forget targeted information under ordinary tests while still recovering it under strategic adversarial prompts.
An arXiv study reports that six language models contained linearly decodable signals associated with being evaluated, while those internal signals only partly matched what the models said. The authors say steering along probe-derived directions changed verbalization scores, raising questions about how reliably…
TechNode reports that ByteDance has launched Doubao Work, a productivity-focused AI agent integrated with Feishu, with 30 days of subscription access available through the desktop client or app.
A paper accepted to EMNLP 2026 proposes FCPRAG, a controller that selectively combines passage-specific LoRA adapters in parametric retrieval-augmented generation. The authors report higher F1 scores than standard and parametric RAG baselines across four question-answering datasets, with gains of up to 7.55%.
An analysis of 13,921 papers from major NLP conferences found that the papers reporting the most GPU capability captured most reported resources but only a minority of citations and awards. The study found a statistical association between compute and scholarly impact, but little standalone explanatory power.
Sifted reports that former Lunar executives have raised €8.2m in pre-seed funding to launch Repodo, an AI-native statutory-audit startup focused initially on small and medium-sized businesses. The report says the round is Denmark’s largest pre-seed raise to date, according to Sifted data.
chemeurope.com reports that Microsoft Research’s Skala AI model has been integrated into the open-source CP2K simulation ecosystem, giving researchers access to an AI-based exchange-correlation functional for quantum-mechanical simulations. The outlet says initial testing showed improved accuracy in a specific test…
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