EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs
June 17, 2025admin NUAI,Committee,News,Uncategorized(0)The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through...
Entropy2Vec: Crosslingual Language Modeling Entropy as End-to-End Learnable Language Representations
September 8, 2025admin NUAI,Committee,News,Uncategorized(0)arXiv:2509.05060v1 Announce Type: new Abstract: We introduce Entropy2Vec, a novel framework for deriving cross-lingual language...
Entropy-Guided Reasoning Compression
November 19, 2025admin NUAI,Committee,News,Uncategorized(0)arXiv:2511.14258v1 Announce Type: new Abstract: Large reasoning models have demonstrated remarkable performance on complex reasoning...
Entrepreneurs in Nairobi make the case for going solar
June 17, 2026admin NUAI,Committee,News,Uncategorized(0)__________________________THE PLACENairobi, Kenya Most of Kenya’s power grid runs on renewables. But with 25% of...
Enterprise alert: PostgreSQL just became the database you can’t ignore for AI applications
June 3, 2025admin NUAI,Committee,News,Uncategorized(0)Analysts provide insight on what the latest acquisition of a PostgreSQL database vendor means for...
Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost, and Privacy
May 11, 2025admin NUAI,Committee,News,Uncategorized(0)Language processing in enterprise environments faces critical challenges as business workflows increasingly depend on synthesising...
Enigmata’s Multi-Stage and Mix-Training Reinforcement Learning Recipe Drives Breakthrough Performance in LLM Puzzle Reasoning
June 2, 2025admin NUAI,Committee,News,Uncategorized(0)Large Reasoning Models (LRMs), trained from LLMs using reinforcement learning (RL), demonstrated great performance in...
Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS
July 9, 2025admin NUAI,Committee,News,Uncategorized(0)arXiv:2507.05557v1 Announce Type: new Abstract: Test-time scaling has emerged as a promising paradigm in language...
Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach
September 1, 2025admin NUAI,Committee,News,Uncategorized(0)arXiv:2508.21206v1 Announce Type: new Abstract: Autoregressive language models are vulnerable to orthographic attacks, where input...
