Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning Paper • 2402.02355 • Published Feb 4, 2024
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation Paper • 2403.01131 • Published Mar 2, 2024
InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling Paper • 2508.08636 • Published Aug 12 • 2
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark? Paper • 2509.07894 • Published Sep 9 • 31
P1: Mastering Physics Olympiads with Reinforcement Learning Paper • 2511.13612 • Published 20 days ago • 132
V-GameGym: Visual Game Generation for Code Large Language Models Paper • 2509.20136 • Published Sep 24 • 9
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe Paper • 2509.18154 • Published Sep 16 • 51
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe Paper • 2509.18154 • Published Sep 16 • 51
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
AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset Paper • 2504.03612 • Published Apr 4 • 2
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment Paper • 2402.19085 • Published Feb 29, 2024