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• MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
  2024 · 31 citations
• The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
  2026
• MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction
  2025
• AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
  2025
• BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models
  2025
• Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
  2025
• Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem
  2025
• Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning
  2025
• BASIC: Boosting Visual Alignment With Intrinsic Refined Embeddings In Multimodal Large Language Models
  2025
• UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence
  2024
• MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
  2024