AI14 min read
Connecting AI agents to enterprise knowledge
Research finds only 34% of agentic AI projects reach production due to knowledge gaps.
From MIT Technology Review AI
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AI14 min read
Research finds only 34% of agentic AI projects reach production due to knowledge gaps.
From MIT Technology Review AI
LLMs2 min read
Research assessed LLM hypothesis generation in biomedical contexts by integrating KEGG, Rhea, and UniProt into a knowledge graph. The study found that models utilizing full biological paths generated more consistent hypotheses, demonstrating evidence-disciplined reasoning, while models using only source and endpoint produced higher-scoring but less grounded ideas.
From arXiv cs.CL
Photo: Yan Krukau
LLMs1 min read
Researchers developed a training framework for multi-hop question answering using Qwen3-14B, augmenting knowledge graphs with surrounding context. This approach, incorporating a repair pipeline and reinforcement learning, consistently improved multi-hop performance compared to KG-only supervision.
From arXiv cs.CL
LLMs1 min read
GraphProfiler is a new LLM-based profiler that builds a personal knowledge graph for each user, linking posts to their source texts. It achieves high attack success rates on benchmarks while providing detailed attribution of the posts contributing to inferences, enabling targeted privacy mitigation strategies.
From arXiv cs.CL
Research1 min read
arXiv:2609.12116v1 Announce Type: new Abstract: Editing a knowledge graph embedding (KGE) model to promote a desired answer can displace correct answers from the returned list. Locality tests based only on facts that reuse the edited par...
From arXiv cs.AI
AI1 min read
In this tutorial, we build an end-to-end hierarchical Neural Radiance Field (NeRF) using JAX, Flax, Optax, and the volume-rendering primitives provided by jax3d. We first construct a synthetic multi-view dataset from an analytic scene co...
From MarkTechPost
Research1 min read
Mosaic is a training-free framework for GraphRAG that adapts retrieval policies per query, improving answer correctness and recall. It achieves state-of-the-art results across multiple benchmarks, demonstrating the value of query-specific exploration strategies.
From arXiv cs.AI
Research1 min read
A new method, Specified-Foil Counterfactuals, allows engineers to identify past conditions that would have led to an alternative prediction in temporal graphs. The approach reduces predictor evaluations by 75-80% while maintaining 85.7-93.6% of black-box greedy successes.
From arXiv cs.AI
LLMs1 min read
GRACE deconstructs LLM responses into claims, grounds them against knowledge priors, and classifies their validity, enabling efficient expert verification and knowledge expansion.
From arXiv cs.CL
Research1 min read
The Corporate Language Model (CLM) transforms enterprise knowledge into an ontologically grounded foundation, enabling reasoning and executable actions within organizational contexts.
From arXiv cs.AI
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