Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Synthetic bootstrapped pretraining

Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data

FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation

Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation

Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration

FlowRL: Matching Reward Distributions for LLM Reasoning

ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data

Are Large Pre-trained Vision Language Models Effective Construction Safety Inspectors?

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction

Discovery of Unstable Singularities

VCBench: Benchmarking LLMs in Venture Capital

MedReseacher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning

PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era

Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning

OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft

BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design

ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

Towards General Agentic Intelligence via Environment Scaling

WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Scaling Agents via Continual Pre-training

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection

REFRAG: Rethinking RAG based Decoding

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Synthetic bootstrapped pretraining

Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data

FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation

Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation

Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration

FlowRL: Matching Reward Distributions for LLM Reasoning

ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data

Are Large Pre-trained Vision Language Models Effective Construction Safety Inspectors?

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction

Discovery of Unstable Singularities

VCBench: Benchmarking LLMs in Venture Capital

MedReseacher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning

PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era

Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning

OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft

BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design

ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

Towards General Agentic Intelligence via Environment Scaling

WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Scaling Agents via Continual Pre-training

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection

REFRAG: Rethinking RAG based Decoding