Octrees as an Explicit 3D Language
Existing 3D large language models (LLMs) compromise on two fronts: they compress shapes into latent codebook indices or coordinate text, which removes spatial structure from what t...
Papers
SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation
High-resolution 3D generation increasingly relies on voxel latents and multi-stage pipelines that first predict active structure and then synthesize local geometry. While effective...
Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows
Real-world enterprise data science and analytics workflows require reasoning across dozens of tables, performing statistical analyses, and acting on the results. Established text-t...
RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations
A companion that talks with a person for months should come to understand them. It should remember what they said, infer who they are, and know when the past bears on the message i...
Latent-MOPD: Latent Multi-Teacher On-Policy Distillation
On-policy distillation (OPD) trains a student on the responses it generates. Existing LLM multi-teacher OPD transfers what specialists predict through their output distributions. W...
From Gradients to Capabilities: Understanding Multi-Teacher On-Policy Distillation
Multi-teacher on-policy distillation (MOPD) aims to combine the strengths of RL-trained teachers in a single student, but how teacher signals affect parameter changes remains under...
Ego2Act: Evaluating Goal-Directed Manipulation in Egocentric Video Generation
Video generation models are increasingly being explored as world simulators for embodied planning and learning. To do so effectively, these models must not only generate visually a...
VIEScore2: Unified Image Evaluation with Spatially Grounded Explanations
Existing synthetic image evaluators typically provide only a scalar quality score and do not identify the image regions that support it. We introduce VIEScore2, a unified evaluator...
Spatial Memory Intelligence: Endowing World Models with Understanding-Driven Long-Term Memory
Long-video generation and world models have shown strong potential for interactive entertainment and embodied simulation by predicting future observations conditioned on user actio...
VeriHarness: Scaling Agentic Verification for Long-Horizon Tasks
As LLM agents undertake increasingly complex, long-horizon tasks, verifying their outputs becomes increasingly challenging. We study how verification capability can be strengthened...
The AI Theorist reveals excitonic structure in α-RuCl_3
Advances in experimental instrumentation and automation generate increasingly rich datasets, but turning experimental observations into microscopic understanding remains a bottlene...
4Director: Controlling Video World Models with Rigid 3D Geometry
Precise control over camera and object motion is essential for professional video production. Existing methods control objects only coarsely, through image-plane cues that are ambi...
Sharpening Tax in Post-Training
An emerging hypothesis about reinforcement learning (RL) post-training of large language models (LLMs) is that it merely sharpens existing behaviors of a base model, improving sing...
OmniSeek: Native Tool Integration for Multi-turn Audio-Visual Reasoning
We present OmniSeek, an agentic framework that transforms an Omni Large Language Model (Omni-LLM) into an active, multi-turn reasoning agent with native tool use. Rather than passi...
RPTune: Learned Context Curation for LLM Catalog Search
For small merchant businesses (SMBs) whose catalogs fit within a long-context LLM, full-catalog prompting offers a compelling alternative to multi-stage retrieval designed primaril...
Beyond Memory: Harnessing Long-Horizon Agents with Explicit Belief States
Large language model (LLM) agents can now undertake increasingly complex tasks, but the way they organize interaction history into memory does not ensure a coherent understanding o...
ROWBench: Do Video Models Render What the Program Specifies?
Programmable world models separate executable dynamics from visual generation, offering a promising foundation for next-generation game engines. However, their visual adherence to ...
Hierarchical Continuous Diffusion Language Models
Discrete diffusion language models offer a compelling alternative to autoregressive generation for tasks demanding bidirectional reasoning and global constraint satisfaction. Yet t...
Keyword Harnesses Fail Open: A Cheap Diagnostic Ladder for Tool-Use Claims in Small Language Models
Keyword-matching benchmarks can credit small models for tool use they never perform. We document such a false positive in a matched-architecture pair of Spanish security language m...
It Takes Workflows to Evolve Better Workflows
Tackling complex real-world tasks can exceed the capabilities of a single large language model (LLM), motivating the use of multi-agent workflows that coordinate specialized agents...
AutoGUIWorld: Image Generators as Visual World Models for GUI Agent
GUI agents require high-quality interaction trajectories to learn how software environments respond to actions, maintain state, and support multi-step workflows. However, the diver...
Local Support Learning
We explore catastrophic forgetting in the context of large pre-trained models. By considering forgetting as a geometric problem in the input space of each weight matrix, we uncover...
HumanoidToolBench: Benchmarking Humanoid Tool Use from Selection to Mobile Execution
As robotic hardware and learning methods advance, humanoids need tools to perform tasks beyond their inherent physical limits. Successful tool use requires selecting a suitable too...
SimuVerity: Benchmarking Agents for Engineering-Grade Simulink Model Generation
Existing Simulink benchmarks mainly evaluate whether generated models compile, execute, or resemble a reference model. These criteria do not establish whether a model satisfies its...