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• Tokenselect: Efficient Long-context Inference And Length Extrapolation For Llms Via Dynamic Token-level KV Cache Selection
  2024 · 25 citations
• LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
  2025 · 1 citations
• Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
  2026
• MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
  2025
• MathFusion: Enhancing Mathematic Problem-solving of LLM through Instruction Fusion
  2025
• REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
  2025
• Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning
  2025
• ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
  2025
• Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
  2025
• OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value
  2025
• IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
  2025
• LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  2024