Notizie
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 Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach
arXiv:2508.21206v1 Announce Type: new Abstract: Autoregressive language models are vulnerable to orthographic attacks, where input...
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...
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
arXiv:2506.21222v1 Announce Type: new Abstract: Automatic Term Extraction (ATE) identifies domain-specific expressions that are crucial...
Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare
arXiv:2509.04482v1 Announce Type: new Abstract: Reliable abstention is critical for retrieval-augmented generation (RAG) systems, particularly...
End-to-End Multimodal Data Augmentation and Adversarial Robustness Benchmark with AugLy for Images, Text, Audio, and PyTorch
In this tutorial, we build a comprehensive multimodal augmentation and robustness workflow with AugLy for...
End-to-End Forecasting with TimesFM 2.5: Backtesting, Covariates, Anomaly Detection, and Scalable Colab Deployment
In this tutorial, we build an advanced end-to-end time-series forecasting workflow with TimesFM 2.5. We...
End-to-End Aspect-Guided Review Summarization at Scale
arXiv:2509.26103v1 Announce Type: new Abstract: We present a scalable large language model (LLM)-based system that...
