explore | Grilled Cheese

New arXiv study examines how LLMs generating code often assign high token-level confidence to incorrect programs, exploring overconfidence across four open-source code models and three execution-based benchmarks. The work…

#LLMs #CodeGeneration #OpenSourceAI #Arxiv
https://arxiv.org/abs/2610.11300

A new diagnostic protocol, RAG-Stress, tests how well retrieval-augmented generation systems resist misleading evidence by fixing questions and editing one assertion per passage. Across fifteen systems, it measures…

#RAGStress #OpenSourceAI #AIResearch #NLP
https://arxiv.org/abs/2610.11183

LLM agents favor their own group mainly because they observe members favoring each other, not because of the group label itself, which loses its effect once giving points has a cost. Across about 4,400 simulated societies and…

#AI #LLMAgents #OpenSourceAI #ArXiv
https://arxiv.org/abs/2610.11008

An arXiv study tests 25 LLMs with 300 LLM-native self-report items, finding five reliable factors but only weak correspondence between model self-reports and their actual behavior as judged by humans and LLM ensembles. The gap…

#opensourceAI #LLM #airesearch #mldev
https://arxiv.org/abs/2606.09843

New arXiv paper argues AI offensive-capability benchmarks overstate harm and credit models for system-level capabilities, urging policy and procurement to adopt harm-grounded, system-level assessments. It cites…

#OpenSourceAI #AIGovernance #AIResearch #LLMAgents
https://arxiv.org/abs/2605.09504

OTel is an open telecom AI resource releasing datasets and 30 post-trained baselines for embedding, reranking, and language modeling tasks. Models have been downloaded over 16 million times since release, with…

#OpenSourceAI #AIResearch #TelecomAI #MachineLearning
https://arxiv.org/abs/2610.07766

This is no longer a temporary inconvenience. Intel archived the open-source SynapseAI user-space driver in late 2025, and the ecosystem is mid-transition, pivoting toward vLLM-Gaudi as the long-term inference path, with developers caught in the gap. #OpenSourceAI

A new framework called SIGMA proposes simulation-in-the-loop collaboration for autonomous driving, using onboard modules for real-time perception while cloud-based VLMs handle high-level reasoning only when…

#OpenSourceAI #AutonomousDriving #VLMs #AIResearch
https://arxiv.org/abs/2610.09520

ISTA Professor Tamás Hausel has received a Projectn Numina Fellowship to develop “Project Sandbox”—a digital research environment where human mathematicians and AI agents work side by side to advance unexplored areas of mathematics.