#large language models
Large Language Models: 89 AI articles covering large language models news, analysis, and research
Articles
Mathematicians Demand Proof That OpenAI Didn't Train Its Models⭐9
Mathematicians demand OpenAI prove it didn’t train its models on their unpublished work, raising data provenance and copyright concerns amid new AI breakthrough...
IFM Unveils K2 Horizon: Six Apache 2.0 Models from 0.9B to 375B⭐8
IFM launches K2 Horizon: six Apache 2.0 models from 0.9B to 375B-A23B with open weights, training data, and code for fully transparent AI development.
Where Does Harness-Oimization Value Live? Localized Gains and⭐8
Nearly all optimization value in self-evolving LLM agents resides in reflection/control slots, not role or strategy, as revealed by HARNESSEVO.
How to Build AI Systems That Know When They Don't Know: A⭐10
AI systems that recognize their own knowledge gaps and reduce blind guessing, using confidence scoring and fallback routing for production reliability.
Behaviorally Grounded User Profiles from the Wild for⭐8
Study introduces behaviorally grounded user profiles from social media, improving LLM personalization and multi-perspective reasoning over synthetic baselines.
Princeton, Ant Group, and Stanford Introduce AQuA: A Two-Part⭐6
AQuA: Princeton, Stanford & Ant Group's agentic framework prevents data leakage in quantitative finance, enabling autonomous factor discovery and model developm...
How AI Could Make It Harder for Governments to Use Hacking Tools⭐9
As AI patches software bugs at scale, government hacking tools may become obsolete, challenging law enforcement's access to encrypted devices.
8 Tips for Writing Effective Agent Instructions⭐10
Master agent instructions with these 8 expert tips for 2026. Learn to design clear, maintainable playbooks that optimize AI performance and workflow efficiency.
DeflectBench: A Benchmark for Evaluating Rhetorical Fallacy⭐9
Evaluate LLM rhetorical fallacy generation with DeflectBench: prompt framing drives refusal more than claim content, revealing critical safety vulnerabilities.
TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based⭐10
TreeGraft enables adaptive multi-drafter speculative decoding, boosting LLM inference speed by 15.1% across benchmarks.