Papers

• Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES (2026)
  Hunter Heidenreich
  2.00
• Control LLM: Controlled Evolution for Intelligence Retention in LLM (2025)
  Haichao Wei et al.
  1.28
• IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding (2025)
  Sankalp KJ et al.
  1.28
• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  1.28
• Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models (2025)
  Hung-Yueh Chiang et al.
  1.28
• DataDecide: How to Predict Best Pretraining Data with Small Experiments (2025)
  Ian Magnusson et al.
  1.28
• ReasonIR: Training Retrievers for Reasoning Tasks (2025)
  Rulin Shao et al.
  1.28
• BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text (2024)
  Elliot Bolton et al.
  —
• Are We Done with MMLU? (2024)
  Aryo Pradipta Gema et al.
  —
• Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation (2024)
  Shivalika Singh et al.
  —