[ICML 2026 Spotlight] Latent Collaboration in Multi-Agent Systems
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Updated
Jun 18, 2026 - Python
[ICML 2026 Spotlight] Latent Collaboration in Multi-Agent Systems
📖 This is a repository for organizing papers, codes, and other resources related to Latent Reasoning.
[ECCV 2026] Official repo of "Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens"
Official implementation of the NeurIPS 2025 paper "Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space"
[CVPR2026] Official codebase for the paper "Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space"
Official implementation of Latent-SFT: teaching LLMs to reason with vocabulary-space latent chains.
Official PyTorch implementation of "Latent Reasoning in TRMs is Secretly a Policy Improvement Operator" (ICML 2026)
Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction
An open-source attempt at training a variant of LeCun's energy-based models (EBM) to reason in latent space and solve Sudoku.
Official implementation of Latent-GRPO: reinforcement learning for vocabulary-space latent reasoning.
Repository to train multimodal latent reasoning tokens for Qwen 2.5 VL.
LaTER: Efficient Test-Time Reasoning via Latent Exploration and Explicit Verification
This is the codebase for "Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners"
Official Implementation for Pre-print "T2MLR: Transformer with Temporal Middle-Layer Recurrence"
Training-free entropy-gated explicit<->latent (SwiReasoning) decoding for llama.cpp — bit-exact, Pareto-superior on a 27B
Latent reasoning with LLMs using abstract thought tokens
Curated Awesome List for latent world models, JEPA-style predictive architectures, latent reasoning, and latent planning/control
Lightweight pairwise evaluator for relational signals in Ouro-2.6B-Thinking loop-state trajectories.
Implemented a recurrent-depth LLM (PyTorch) based on arXiv:2502.05171. Demonstrated that scaling inference compute increased arithmetic reasoning accuracy from 8% to 100% without additional parameters.
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