Min Yang

NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching

MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era

SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation

Learning Ordinal Probabilistic Reward from Preferences

EVADE-Bench: Multimodal Benchmark for Evasive Content Detection in E-Commerce Applications

Neuron-Aware Data Selection in Instruction Tuning for Large Language Models

IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property

GUI-R1: A Generalist R1-Style Vision-Language Action Model For GUI Agents

One Model to Critique Them All: Rewarding Agentic Tool-Use via Efficient Reasoning

Structuring Reasoning for Complex Rules Beyond Flat Representations

Benchmarking Complex Chart Reasoning via Sub-question Decomposition and Variant-based Robustness Analysis

Reinforcement Learning for Symbolic Graphics Code with Visual Feedback

VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning

Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost

OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis

Synthesizing Software Engineering Data in a Test-Driven Manner