OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas Paper • 2501.15427 • Published 10 days ago • 6
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation Paper • 2103.02548 • Published Mar 3, 2021 • 1
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning Paper • 2310.00492 • Published Sep 30, 2023 • 2
OASum: Large-Scale Open Domain Aspect-based Summarization Paper • 2212.09233 • Published Dec 19, 2022 • 2
InFoBench: Evaluating Instruction Following Ability in Large Language Models Paper • 2401.03601 • Published Jan 7, 2024 • 7
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers Paper • 2410.13184 • Published Oct 17, 2024 • 2
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? Paper • 2409.07703 • Published Sep 12, 2024 • 67
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning Paper • 2311.10774 • Published Nov 15, 2023 • 1
Scaling Synthetic Data Creation with 1,000,000,000 Personas Paper • 2406.20094 • Published Jun 28, 2024 • 97
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models Paper • 2308.00304 • Published Aug 1, 2023 • 23
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention Paper • 2312.08618 • Published Dec 14, 2023 • 12