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Entropy2Vec: Crosslingual Language Modeling Entropy as End-to-End Learnable Language Representations
arXiv:2509.05060v1 Announce Type: new Abstract: We introduce Entropy2Vec, a novel framework for deriving cross-lingual language...
Entropy-Guided Reasoning Compression
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
__________________________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
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 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...
