Actualités
EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
arXiv:2503.08893v2 Announce Type: replace Abstract: An ideal model evaluation should achieve two goals: identifying where...
Estimating LLM Uncertainty with Logits
arXiv:2502.00290v4 Announce Type: replace Abstract: Over the past few years, Large Language Models (LLMs) have...
Erasing Conceptual Knowledge from Language Models
arXiv:2410.02760v3 Announce Type: replace Abstract: In this work, we introduce Erasure of Language Memory (ELM)...
EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
Navigating the dense urban canyons of cities like San Francisco or New York can be...
EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs
The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through...
Enterprise alert: PostgreSQL just became the database you can’t ignore for AI applications
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
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
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
arXiv:2507.05557v1 Announce Type: new Abstract: Test-time scaling has emerged as a promising paradigm in language...
Enhancing multimodal analogical reasoning with Logic Augmented Generation
arXiv:2504.11190v2 Announce Type: replace-cross Abstract: Recent advances in Large Language Models have demonstrated their capabilities...
Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization
arXiv:2506.11109v1 Announce Type: new Abstract: The widespread adoption of location-based services has led to the...
Enhancing Hindi NER in Low Context: A Comparative study of Transformer-based models with vs. without Retrieval Augmentation
arXiv:2507.16002v1 Announce Type: new Abstract: One major challenge in natural language processing is named entity...
