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Machine Heart
Machine Heart
May 22, 2026 · Artificial Intelligence

ATLAS: One Word Unifies Agentic and Latent Visual Reasoning

ATLAS introduces a discrete functional token that simultaneously serves as an agentic operation and a latent reasoning unit, enabling large multimodal models to perform visual tasks without external tools or intermediate image generation, and achieves competitive results through SFT‑plus‑RL training and a token‑level gradient‑anchor technique.

ATLASagentic reasoningfunctional token
0 likes · 11 min read
ATLAS: One Word Unifies Agentic and Latent Visual Reasoning
Machine Heart
Machine Heart
May 18, 2026 · Artificial Intelligence

Can Large Models Reason Deeply with Only a Few Thinking Tokens?

The paper introduces Heima, a framework that compresses chain‑of‑thought reasoning into a small set of abstract “thinking tokens” for multimodal large models, dramatically reducing generated tokens while preserving inference capability, and provides an adaptive interpreter to reconstruct human‑readable reasoning for analysis.

Efficient Inferencechain-of-thoughtlatent reasoning
0 likes · 12 min read
Can Large Models Reason Deeply with Only a Few Thinking Tokens?
Machine Heart
Machine Heart
May 13, 2026 · Artificial Intelligence

Zero‑Cost Upgrade: OneSearch‑V2 Launches Generative Search, Boosting Buyers and Orders

OneSearch‑V2 introduces a zero‑cost generative search upgrade that leverages latent‑reasoning‑enhanced self‑distillation, thought‑augmented query understanding, and behavior‑feedback preference alignment, delivering offline HitRate gains of up to 2.68 % and online CTR, buyer and order increases of roughly 4 %, 2 % and 2 % respectively.

AI Rankingbehavioral feedbacke-commerce
0 likes · 24 min read
Zero‑Cost Upgrade: OneSearch‑V2 Launches Generative Search, Boosting Buyers and Orders
Xiaomi Tech
Xiaomi Tech
May 13, 2026 · Artificial Intelligence

Xiaomi OneVL: A Breakthrough Open‑Source Model for Fast, Accurate Autonomous Driving

Xiaomi unveils OneVL, an open‑source stepwise latent language‑vision reasoning framework that unifies VLA, world‑model and latent inference, delivering higher accuracy than explicit CoT and inference speed comparable to answer‑only models, with SOTA benchmark results across multiple autonomous‑driving tests.

Autonomous DrivingOneVLOpen Source
0 likes · 8 min read
Xiaomi OneVL: A Breakthrough Open‑Source Model for Fast, Accurate Autonomous Driving
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 12, 2026 · Artificial Intelligence

LaST‑R1: Embodied Robot Model Hits 99.9% LIBERO Success via Physical Reasoning

LaST‑R1 presents a new embodied AI framework that inserts latent physical reasoning before action generation and jointly optimizes reasoning and control with LAPO, achieving 99.9% average success on the LIBERO benchmark after a single‑trajectory warm‑up and boosting real‑world task success from 52.5% to 93.75%, while showing superior generalization to unseen objects, backgrounds and lighting.

Embodied AILAPOLIBERO Benchmark
0 likes · 11 min read
LaST‑R1: Embodied Robot Model Hits 99.9% LIBERO Success via Physical Reasoning
Machine Heart
Machine Heart
Apr 12, 2026 · Artificial Intelligence

LRT: Implicit Reasoning Chains Boost Speed and Accuracy by Removing Redundant Steps

Researchers introduce Latent Reasoning Tuning (LRT), a lightweight inference network that encodes explicit reasoning chains into fixed‑length latent vectors, eliminating thousands of decoding steps; experiments reveal substantial redundancy in traditional chains and demonstrate that LRT achieves faster, more accurate inference and outperforms existing efficient reasoning methods.

DeepSeekEfficient InferenceHybrid Reasoning
0 likes · 10 min read
LRT: Implicit Reasoning Chains Boost Speed and Accuracy by Removing Redundant Steps
Machine Heart
Machine Heart
Apr 2, 2026 · Artificial Intelligence

ColaVLA Demonstrates Autonomous Driving Models Can Reason Without Text

ColaVLA replaces explicit text‑based reasoning with latent‑space inference and a hierarchical parallel planner, achieving lower trajectory error, reduced collision rates and up to ten‑fold faster inference while preserving safety and real‑time performance in autonomous driving benchmarks.

Autonomous DrivingSafetyhierarchical planning
0 likes · 11 min read
ColaVLA Demonstrates Autonomous Driving Models Can Reason Without Text
Tencent Advertising Technology
Tencent Advertising Technology
Nov 20, 2025 · Artificial Intelligence

CoderRec: Latent Reasoning Boosts Sequential Recommendation

CoderRec, a new sequential recommendation framework jointly developed by Tencent Advertising Technology and Tsinghua University, combines domain‑specific latent reasoning with cross‑scale model collaboration to capture implicit user intent and fuse large‑language‑model semantics with traditional recommender signals, achieving state‑of‑the‑art performance on multiple Amazon datasets.

Artificial Intelligencecross-scale collaborationlarge language models
0 likes · 17 min read
CoderRec: Latent Reasoning Boosts Sequential Recommendation
HyperAI Super Neural
HyperAI Super Neural
Sep 30, 2025 · Artificial Intelligence

OnePiece: Applying LLM‑Style Reasoning to Item‑ID Sequences for Generative Recommendation

The article presents the OnePiece framework, which injects LLM‑style context engineering and latent reasoning into item‑ID based search‑and‑recommendation models, details the design choices, training tricks, attention analysis, and reports online gains of around 1% GMV and ad revenue, offering a thorough technical dissection of generative recommendation in industrial settings.

Context EngineeringGenerative RecommendationLLM reasoning
0 likes · 31 min read
OnePiece: Applying LLM‑Style Reasoning to Item‑ID Sequences for Generative Recommendation