Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Official repo of paper LM2

Repo for "AutoTrainess: Teaching Language Models to Improve Language Models Autonomously"

MemGen: Weaving Generative Latent Memory for Self-Evolving Agents

[ICML 2026] Spherical Steering: Geometry-Aware Activation Rotation for Language Models

[CVPR2026] Official code for "See It, Say It, Sorted: An Iterative Training-Free Framework for Visually-Grounded Multimodal Reasoning in LVLMs"

[CVPR 2025] Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

This is the official repo for AdaIAT: Adaptively Increasing Attentions to Generated Text Tokens to Alleviate Hallucinations in Detail Caption (CVPR 2026)

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)

(ICLR'26 Oral + ICML'26) Learning to Seek and Use Information: Agentic Active Reasoning under Partial Observability

[ICLR2026] This is the first paper to explore how to effectively use R1-like RL for MLLMs and introduce Vision-R1, a reasoning MLLM that leverages cold-start initialization and RL training to incen…

[EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.

Repo for "Large Language Model Reasoning Failures"

Official code base for LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

latent context language models

REDSearch: A scalable, cost-efficient framework for long-horizon search agents. Features complex task synthesis, optimized mid-training, post-training (SFT and Agentic RL)

MiMo Code: Where Models and Agents Co-Evolve

[ICLR 26] Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow