Anthropic has signed a $35 billion cloud computing deal with Lambda, an Nvidia-backed cloud provider. The article Anthropic ramps up Claude infrastructure…
Tag: AI
Contrastive Explanations in Quantitative Bipolar Argumentation Frameworks
arXiv:2609.02399v1 Announce Type: new Abstract: Argumentation frameworks are useful tools for representing and reasoning with information in a variety of…
SCX Router: Streaming Zero-Shot Model Selection with a Decoder-KV Classifier and a Real-World Task Ontology
arXiv:2609.02292v1 Announce Type: new Abstract: The rapid proliferation of large language models (LLMs) and the growing diversity of their applications…
CoMerge: Conflict-Driven Preference Optimization for Multi-Task Model Merging
arXiv:2609.02273v1 Announce Type: new Abstract: Model merging provides an efficient paradigm for constructing multi-task large language models (LLMs)…
Improving Evaluation Realism with Inference-Time Compute and Deployment Scaffolds
arXiv:2609.02302v1 Announce Type: new Abstract: A core obstacle to alignment evaluation is evaluation awareness: capable models can tell when they are…
Training a coding model to paint watercolours with TRL and OpenEnv
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Training a coding model to paint watercolours with TRL and…
SALA: Semantic-Aware Logical Alignment for Complex Reasoning in In-Context Learning
arXiv:2609.02336v1 Announce Type: new Abstract: Effective in-context learning (ICL) for complex reasoning relies on selecting the right demonstrations.…
AfterQuery reportedly becomes Y Combinator’s fastest-ever unicorn, now valued at $3.2B
AI model-training startup AfterQuery has reportedly raised a round that valued it at $3.2 billion, just five months after announcing its $30 million…
Diagnosing with Insights: Structured Analysis of Agent Failures via Behavioral Abstractions
arXiv:2609.02371v1 Announce Type: new Abstract: With the proliferation of LLM agents, the ability to understand and diagnose failures in agents is…
Task-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training
arXiv:2609.02244v1 Announce Type: new Abstract: Large language models (LLMs) often struggle when low-resource training data are ambiguous or incomplete.…