P1: Mastering Physics Olympiads with Reinforcement Learning Paper • 2511.13612 • Published Nov 17, 2025 • 134
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones Paper • 2509.25123 • Published Sep 29, 2025 • 20
FlowRL: Matching Reward Distributions for LLM Reasoning Paper • 2509.15207 • Published Sep 18, 2025 • 114
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models Paper • 2306.02320 • Published Jun 4, 2023 • 1
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset Paper • 2402.04588 • Published Feb 7, 2024 • 2
UltraIF: Advancing Instruction Following from the Wild Paper • 2502.04153 • Published Feb 6, 2025 • 24
AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset Paper • 2504.03612 • Published Apr 4, 2025 • 2
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment Paper • 2402.19085 • Published Feb 29, 2024
RLPR: Extrapolating RLVR to General Domains without Verifiers Paper • 2506.18254 • Published Jun 23, 2025 • 31
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery Paper • 2508.14111 • Published Aug 18, 2025 • 33
Intern-S1: A Scientific Multimodal Foundation Model Paper • 2508.15763 • Published Aug 21, 2025 • 259
Towards a Unified View of Large Language Model Post-Training Paper • 2509.04419 • Published Sep 4, 2025 • 75
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark? Paper • 2509.07894 • Published Sep 9, 2025 • 31
A Survey of Reinforcement Learning for Large Reasoning Models Paper • 2509.08827 • Published Sep 10, 2025 • 190