Google's TabFM skips per-dataset training and still predicts on tables it's never seen

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
Crypto Briefing

DeepSeek unveils DSpark for 60% to 85% faster inference optimization

DeepSeek released DSpark on June 27, a speculative decoding framework that accelerates per-user generation speeds by 60% to 85% on its DeepSeek-V4 Flash model and 57% to 78% on the Pro variant. DSpark ...
GitHub

aiXcoder-7B Code Large Language Model

As the capabilities of large code models are gradually being unearthed, aiXcoder has consistently pondered on how to make these models more beneficial in real development scenarios. To this end, we ...
IEEE

Causal Inference in AI Based Decision Support: Beyond Correlation to Causation

Abstract: In the emergent and evolving landscape of artificial intelligence, decision support systems have a vital role in the choice-making functions, right from the health sector to finance. Whereas ...
GitHub

DiffuLLaMA & DiffuGPT: Scaling Diffusion Language Models

Current Diffusion Language Models (DLMs) have been studied at a smaller scale compared to their autoregressive (AR) counterparts and lack fair comparison on language modeling benchmarks. Additionally, ...
IEEE

CauseKG: A Framework Enhancing Causal Inference With Implicit Knowledge Deduced From ...

Abstract: Causal inference is a critical technique for inferring causal relationships from data and distinguishing causation from correlation. Causal inference frameworks rely on structured data, ...