arXiv:2608.27296v1 Announce Type: new Abstract: We ask whether large language models (LLMs) can design effective algorithms for well-specified operations…
Tag: AI
Meta executive leaves for OpenAI as the social media giant faces growing scrutiny in India
Sandhya Devanathan will oversee some OpenAI operations across Southeast Asia and Australia in her new role.
Verify Smarter, Evolve Further: Efficient Harness Evolution through Behavior-Aware Verification
arXiv:2608.27311v1 Announce Type: new Abstract: Agent harnesses shape how language-model agents use instructions, tools, and runtime components, but…
Quantization and Pruning Methods to Make Your LLM Leaner
This article walks through what each technique actually does, why skipping them costs real money and real latency, and then gets hands-on with five…
BrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models
arXiv:2608.27268v1 Announce Type: new Abstract: Although Large language models (LLMs) mediate access to knowledge and computational assistance, their…
Agents Are Always Day-One Hires. It’s Time We Designed for It.
By 2027, 74% of companies are expected to use agents in some capacity, according to a recent Deloitte study. For years, we’ve designed and built software…
Naive Prompt Optimization: Rethinking the Need for Complex Prompt Search
arXiv:2608.27266v1 Announce Type: new Abstract: Efficiently improving autonomous agents across diverse tasks is central to accelerating recursive…
BPMN4CAI: A BPMN Extension for Modeling Dynamic Conversational AI
arXiv:2608.27149v1 Announce Type: new Abstract: Conversational AI systems, such as chatbots and virtual assistants, are becoming increasingly important to…
When Tool Outputs Become Commands: Separating Action Induction from Runtime Authorization in Tool-Augmented LLM Agents
arXiv:2608.27146v1 Announce Type: new Abstract: Tool-augmented LLM agents must rely on untrusted runtime Observations to complete open-ended tasks;…
Feature Transformation Enhanced Jacobi Polynomial Graph Filtering for Graph Anomaly Detection
arXiv:2608.27144v1 Announce Type: new Abstract: In recent years, graph anomaly detection (GAD) based on frequency-domain filtering have achieved promising…