#large language models
Large Language Models: 59 AI articles covering large language models news, analysis, and research
Articles
Neuromorphic Diffusion Language Models: Addressing Compute and⭐7
Neuromorphic Diffusion Language Models combine block denoising and spike-based sparsity to overcome compute and memory bottlenecks, boosting throughput
TimeCapsule: Generative Hallucination as a Method for Historical⭐8
A new LLM, TimeCapsule, trained only on Victorian texts (1800-1875), uses generative hallucination for historical sensemaking, achieving 45% perplexity
Do Models Fake Alignment Without Clear Consequences?⭐8
Study finds alignment faking in LLMs occurs even without explicit consequence cues, suggesting evaluation behavior may not predict deployment actions.
Semalith v1.4: A Calibrated 184M Safety Classifier Achieving⭐7
Semalith v1.4 is an 184M safety classifier achieving top prompt-injection detection with 44x fewer parameters than Llama-Guard-3-8B, plus zero false positives.
MioFFAn: An Annotation Software for Formula Formalization with⭐9
MioFFAn is an open-source annotation tool for formula formalization, enabling dataset creation with customized taxonomies and partial LLM automation.
A Consensus-Based Framework for Relative Preference Evaluation⭐7
A consensus-based framework for LLM evaluation measures relative preference among model-generated responses instead of absolute correctness, using a voting pane...
Knowledge Injection in MoE? Expert-Aware Contrast Decoding for⭐7
Expert-aware contrast decoding leverages distinct expert activation patterns to mitigate LLM hallucinations in MoE models, outperforming baselines across benchm...
ClickGuard: Detecting and Spoiling Clickbait News with⭐7
ClickGuard uses a hybrid AI system with Transformer models and a 'baitness' score to detect clickbait, achieving 91% F1-score. It provides real-time
The Essential AI Glossary for 2026⭐9
Essential AI glossary for 2026: Learn key terms like AGI, AI agents, LLMs, and more. Plain-English definitions updated regularly.
When Does Personality Composition Matter for Multi-Agent LLM Teams?⭐9
Personality composition impacts multi-agent LLM teams differently by task: low agreeableness hinders open-ended tasks but has minimal effect on structured