OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision Paper • 2411.07199 • Published Nov 11 • 45
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models Paper • 2411.04905 • Published Nov 7 • 111
AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Paper • 2410.20424 • Published Oct 27 • 39
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment Paper • 2410.13785 • Published Oct 17 • 18
PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness Paper • 2410.07035 • Published Oct 9 • 16
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models Paper • 2409.16191 • Published Sep 24 • 41
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models Paper • 2409.16191 • Published Sep 24 • 41
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series Paper • 2405.19327 • Published May 29 • 46
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series Paper • 2405.19327 • Published May 29 • 46
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science Paper • 2402.04247 • Published Feb 6 • 1
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models Paper • 2402.01739 • Published Jan 29 • 26
AUTOACT: Automatic Agent Learning from Scratch via Self-Planning Paper • 2401.05268 • Published Jan 10 • 3
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs Paper • 2311.16101 • Published Nov 27, 2023 • 1
Evaluating Large Language Models on Controlled Generation Tasks Paper • 2310.14542 • Published Oct 23, 2023
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models Paper • 2310.14491 • Published Oct 23, 2023