StepAudio 2.5 Technical Report
Unified audio-language modeling has emerged as a prominent trend in modern speech systems, promising to bring the reasoning capabilities of large language models to auditory tasks....
Research Papers
Latest AI/ML research from ArXiv and Papers with Code
FastKernels: Benchmarking GPU Kernel Generation in Production
LLM-based agents for GPU kernel generation are advancing rapidly, yet their progress is fundamentally constrained by the benchmarks they optimize against. Existing benchmarks are p...
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
Large language model (LLM) agents accumulate rich episodic trajectories while solving real-world tasks, but it remains unclear whether such experience can be distilled into reusabl...
EvalVerse: Pipeline-Aware and Expert-Calibrated Benchmarking for Professional Cinematic Video Generation
The rapid evolution of generative video foundation models has propelled the field toward professional-grade cinematic synthesis. To achieve such demanding quality, the community tr...
SPACENUM: Revisiting Spatial Numerical Understanding in VLMs
Vision-Language Models (VLMs) are increasingly deployed in embodied environments, where they need produce numerical outputs such as action magnitudes and spatial coordinates. Altho...
Foundation Protocol: A Coordination Layer for Agentic Society
Autonomous agents are moving from tools into a layer of social infrastructure: they browse, purchase, deploy software, manage systems, and increasingly interact with one another. A...
PhotoFlow: Agentic 3D Virtual Photography Missions
Virtual photography asks an agent to enter a prepared 3D scene with no preselected camera pose or reference image, infer a suitable shot from scene information and a language inten...
One-Forcing: Towards Stable One-Step Autoregressive Video Generation
Recent advances have substantially improved real-time interactive video generation in the autoregressive regime. However, most existing few-step autoregressive video generation met...
HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction
Online 3D reconstruction requires estimating camera pose and scene geometry under strict causal and bounded-memory constraints. Existing methods often suffer from drift, jitter, or...
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
Generative priors in Image Super-Resolution (SR) often compromise faithful restoration, we attribute this limitation to a fundamental spectral misalignment between isotropic object...
Decoding the Critique Mechanism in Large Reasoning Models
Large Reasoning Models (LRMs) exhibit backtracking and self-verification mechanisms that enable them to revise intermediate steps and reach correct solutions, yielding strong perfo...
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models
Large Language Models (LLMs) are predominantly governed by probabilistic frameworks in which the sum of outcome probabilities is constrained to unity. This architectural limitation...
Convex Low-resource Accent-Robust Language Detection in Speech Recognition
Globalization and multiculturalism continue to produce increasingly diverse speech varieties. Yet current spoken dialogue systems frequently fail on under-represented dialects and ...
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
Scientific research is being reshaped by AI systems that move beyond isolated assistance toward longer-horizon workflows spanning literature grounding, hypothesis generation, exper...
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers
Visual geometry transformers have become powerful architectures for multi-view 3D reconstruction, enabling joint prediction of multiple 3D attributes in a feed-forward manner. Howe...
QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks
Deep research agents extend the role of search engines from retrieving keyword-matched pages to synthesizing knowledge, fundamentally changing how humans interact with information....
Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild
Evaluation harnesses are software systems that orchestrate model evaluation by managing model invocation, data loading, metric computation, and result reporting. Despite their crit...
From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain
Identifying which brain regions represent a visual concept in the human brain is a central challenge in neuroscience. Existing approaches have localized coarse functional regions (...
CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
Recently, Reinforcement Learning with Verifiable Rewards (RLVR) and Test-Time Scaling (TTS) have advanced LLM code generation through executable verification. Yet Ground-Truth Unit...
ETCHR: Editing To Clarify and Harness Reasoning
Multimodal Large Language Models have advanced visual reasoning, yet a purely textual chain of thought remains a bottleneck for questions that require fine-grained focus or view tr...
GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction
We introduce a new approach to high-fidelity 3D scene reconstruction from multi-view RGB images that tightly couples reconstruction with a strong generative 3D prior. We cast scene...
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
Existing scaling laws for Large Language Models (LLMs), predominantly monotonic power laws, fail to explain emerging non-monotonic phenomena such as catastrophic overtraining and q...
From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
Language agents increasingly improve by reusing skills -- structured procedural artifacts distilled from past experience. In particular, domain-level and model-generated skills are...
SkillOpt: Executive Strategy for Self-Evolving Agent Skills
Agent skills today are hand-crafted, generated one-shot, or evolved through loosely controlled self-revision, none of which behaves like a deep-learning optimizer for the skill, an...