Digital Mind Extension

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Code and data to accompany Racing Thoughts by Lepori et al. 2025

PAIR.withgoogle.com and friend's work on interpretability methods

Reproducing Anthropic’s tracing-the-thoughts interpretability work on open models

General Reasoner: Advancing LLM Reasoning Across All Domains

smolbox of recipies

This is the repo of developing reasoning models in the specific domain of financial, aim to enhance models capabilities in handling financial reasoning tasks.

Just a plain, simple and elegant one-page theme for research/academia.

Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

RLHF experiments on a single A100 40G GPU. Support PPO, GRPO, REINFORCE, RAFT, RLOO, ReMax, DeepSeek R1-Zero reproducing.

Simple RL training for reasoning

Fully open reproduction of DeepSeek-R1

AllenAI's post-training codebase

Minimal reproduction of DeepSeek R1-Zero

Training Large Language Model to Reason in a Continuous Latent Space

Search-o1: Agentic Search-Enhanced Large Reasoning Models

A series of technical report on Slow Thinking with LLM

🤗 smolagents: a barebones library for agents that think in code.

Deep Reasoning Translation (DRT) Project

[ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers

FeatureAlignment = Alignment + Mechanistic Interpretability

Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"

Efficient Triton Kernels for LLM Training

Arena-Hard-Auto: An automatic LLM benchmark.