One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents Paper • 2609.23377 • Published Sep 20 • 36
ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection Paper • 2504.00695 • Published Apr 1, 2025
Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement Paper • 2601.01562 • Published Jan 4 • 25
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem Paper • 2512.24873 • Published Dec 31, 2025 • 111
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning Paper • 2312.09039 • Published Dec 14, 2023
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark Paper • 2506.05587 • Published Jun 5, 2025
Bingo: Boosting Efficient Reasoning of LLMs via Dynamic and Significance-based Reinforcement Learning Paper • 2506.08125 • Published Jun 9, 2025