LLMs
Latest breakthroughs in Large Language Models
Articles
Closed-Loop LLM Co-Pilots for Digital Agricultureโญ8
LLM co-pilots autonomously optimize crop production, cutting energy use by 68% and cycle times by 35% in closed-loop digital agriculture trials.
Unified Hallucination Fuzzing for Multimodal Large Language Modelsโญ10
Unified fuzzing framework reveals severe hallucination risks in MLLMs, exposing hidden performance degradation and alignment trade-offs.
Towards an Argumentative Foundation for Evaluative AIโญ10
This paper proposes computational argumentation as a formal foundation for evaluative AI, enabling explainable, contestable decisions in critical domains.
TEXAS: Task-Expert-Aware Supervision for Downstreamโญ9
TEXAS method improves MoE LLM adaptation by identifying task-relevant experts and optimizing token supervision, boosting performance across benchmarks.
Towards Multi-Label Graph Foundation Models: From Single-Vectorโญ7
This paper introduces MSB-GFM, a multi-semantic basis graph foundation model for cross-domain multi-label node classification, addressing semantic
Simulator-Grounded Large Language Models for Industrial Causalโญ8
Compare three methods for grounding LLMs in a wastewater simulator, achieving up to 99.5% causal QA accuracy and robust cross-plant transfer.
Agentic Nesting: A New Methodology for Enterprise Applicationโญ7
Agentic Nesting converts legacy enterprise apps into AI agents within hierarchical structures, enabling natural-language integration and autonomous orchestratio...
Transfer Learning for Named Entity Recognition of Classicalโญ8
Team uOttawa wins EvaLatin 2026 NER shared task using LLM prompting for Classical Latin, achieving top scores on coarse and fine-grained entity recognition.
ISEE: Interactive Semantic Enrichment for Database Fieldsโญ8
ISEE: Interactive Semantic Enrichment for Database Fields improves data clarity, reduces cognitive load, and boosts LLM agent performance in downstream tasks.
TabletCraft: Enabling Bidirectional Akkadian Translation andโญ7
TabletCraft enables bidirectional Akkadian-English translation and cuneiform rendering, bridging a 4,000-year cultural gap for broader public access.
