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arXiv:2510.27378v2 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) outputs let us read a model’s step-by-step reasoning. Since any long, serial reasoning...
arXiv:2512.01077v1 Announce Type: new Abstract: We present a culturally-grounded multimodal dataset of 1,060 traditional recipes crowdsourced from rural communities across...
arXiv:2511.21748v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable success in supporting a wide range of knowledge-intensive...
arXiv:2511.21974v1 Announce Type: new Abstract: Despite an in-principle understanding of self-attention matrix operations in Transformer language models (LMs), it remains...
arXiv:2511.01016v3 Announce Type: replace Abstract: Recently, advanced large language models (LLMs) have emerged at an increasingly rapid pace. However, when...
arXiv:2510.24693v2 Announce Type: replace-cross Abstract: Despite rapid progress in Multi-modal Large Language Models and Large Audio-Language Models, existing audio benchmarks...
arXiv:2511.21749v1 Announce Type: new Abstract: This paper introduces BRIES, a novel compound AI architecture designed to detect and measure the...
As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models...
Why do current audio AI models often perform worse when they generate longer reasoning instead of grounding their decisions in...
Four reasons to be optimistic about AI’s energy usage
Four nuclear reactors hit a big milestone in the US
Fostering breakthrough AI innovation through customer-back engineering
Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format
Forget the hype — real AI agents solve bounded problems, not open-world fantasies
Forensic deepfake audio detection using segmental speech features
Forcing LLMs to be evil during training can make them nicer in the long run
FMBench: Adaptive Large Language Model Output Formatting
