Problem-solving is the process of identifying a problem, generating potential solutions, evaluating them, and implementing ...

In inference optimization, reward hacking happens when an agent improves its score by exploiting the evaluation without delivering the improvement we actually wanted. This can happen at the kernel ...

Salesforce's SRD distills hindsight into foresight, rescuing agent RL when rewards vanish and lifting success from 0% to 60.6 ...

A curated collection of 1000+ agent skills from official dev teams and the community, compatible with Claude Code, Codex, Gemini CLI, Cursor, and more. - awesome-agent-skills/README.md at main · ...

Dataset with 905 rows (Text). Explore, preview and download it on Hugging Face.

On November 2, 2026, four researchers including Rikiya Takehi from MIT CSAIL (Computer Science and Artificial Intelligence ...

"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...

While the statement "It's not that exaggerated" conveys a casual perception that a certain situation, claim, or phenomenon is ...

Recursive Language Models (RLMs) let a root LM work through contexts far bigger than its window. The context lives in a REPL variable, and the root writes code over it and calls sub-models on pieces ...

A config-verified comparison of how 10 open MoE models route tokens: total and active parameters, expert counts, top-k, shared experts, gating functions and load-balancing methods.

Keane Lucas, Aengus Lynch, Luna Tong, Luke Champine, Zygi Straznickas, Dino Distefano, Harshikaa Agrawal Evyatar Ben Asher, Ava Howell, Sami Jawhar, Chris Rohlf, Nickolai Zeldovich Nicholas Carlini, ...