[Paper] Halluverse-M^3: A multitask multilingual benchmark for hallucination in LLMs
Hallucinations in large language models remain a persistent challenge, particularly in multilingual and generative settings where factual consistency is difficu...
Hallucinations in large language models remain a persistent challenge, particularly in multilingual and generative settings where factual consistency is difficu...
Article URL: https://openai.com/index/introducing-gpt-5-3-codex/ Comments URL: https://news.ycombinator.com/item?id=46902638 Points: 181 Comments: 41...
The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models LLMs have mastered the nuances of human prose and image gene...
Article URL: https://openai.com/index/introducing-openai-frontier/ Comments URL: https://news.ycombinator.com/item?id=46899770 Points: 8 Comments: 0...
메타가 차세대 대규모 언어 모델LLM ‘아보카도’의 사전 학습을 완료했는데 “메타 역사상 가장......
The case against pre-built tools in Agentic Architectures The post Plan–Code–Execute: Designing Agents That Create Their Own Tools appeared first on Towards Dat...
Article URL: https://twitter.com/karpathy/status/2018804068874064198 Comments URL: https://news.ycombinator.com/item?id=46883528 Points: 29 Comments: 4...
Language agents have shown strong promise for task automation. Realizing this promise for increasingly complex, long-horizon tasks has driven the rise of a sub-...
A group of Apple and Tel-Aviv University researchers figured out a way to speed up AI-based text-to-speech generation without sacrificing intelligibility. Here’...
We are confusing “size” with “smart.” The next leap in artificial intelligence will not come from a larger data center, but from a more constrained environment....
Article URL: https://research.google/blog/towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work/ Comments URL: https://news.ycombinator.com...
The rise of Large Language Models (LLMs) has enabled a new paradigm for bridging authorial intent and player agency in interactive narrative. We consider this p...