On the Diagram of Thought

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge

Scaling the Tülu 3 post-training recipes to surpass the performance of DeepSeek V3 | Ai2

Alibaba releases AI model it says surpasses DeepSeek

DeepSeek

Training Large Language Models to Reason in a Continuous Latent Space

LLMs Can Plan Only If We Tell Them

Wolfram Blog: News, Views and Insights from Wolfram

Evolving Deeper LLM Thinking

NeurIPS Poster Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)

How is Google using AI for internal code migrations?

Titans: Learning to Memorize at Test Time

Meta’s new AI model can translate speech from more than 100 languages

Alibaba slashes prices on large language models by up to 85% as China AI rivalry heats up

DeepSeek-V3, ultra-large open-source AI, outperforms Llama and Qwen on launch

Could Savannah be the Next San Jose? The Downstream Effects of Large Language Models

What just happened

12 Days of OpenAI | OpenAI

SciAgents: Automating Scientific Discovery Through Bioinspired Multi‐Agent Intelligent Graph Reasoning

FACTS Grounding: A new benchmark for evaluating the factuality of large language models

Brilliant talk by , but he's wrong on one point.

AI's Data Dilemma

If You Can't Use Them, Recycle Them: Optimizing Merging at...

The Surprising Effectiveness of Test-Time Training for Abstract Reasoning

(10) I asked AI chatbots to analyze “Alice in Wonderland” | LinkedIn

Evaluating Character Understanding of Large Language Models via...

Large Language Models Fall Short: Understanding Complex...

Decoding LLMs: How to be visible in generative AI search results

Asai, A. and others. (2024). OPENSCHOLAR: SYNTHESIZING SCIENTIFIC LITERATURE WITH RETRIEVAL-AUGMENTED LMS.

DeepSeek