Papers

• A Unified Moral-Value Dataset for Instruction Tuning (2026)
  Zhaohui Zeng et al.
  5.01
• MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning (2025)
  Ke Wang et al.
  3.81
• BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models (2025)
  Xu Huang et al.
  2.87
• SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity (2025)
  Samir Khaki et al.
  1.28
• MetaMIML: Meta Multi-Instance Multi-Label Learning (2021)
  Yuanlin Yang et al.
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• CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning (2023)
  Yilun Liu et al.
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• OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset (2024)
  Shubham Toshniwal et al.
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• Is In-Context Learning Sufficient for Instruction Following in LLMs? (2024)
  Hao Zhao et al.
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• Lemur: Harmonizing Natural Language and Code for Language Agents (2023)
  Yiheng Xu et al.
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• CodecLM: Aligning Language Models with Tailored Synthetic Data (2024)
  Zifeng Wang et al.
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