NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation Paper • 2103.02548 • Published Mar 3, 2021 • 1
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
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs Paper • 2402.10979 • Published Feb 15, 2024
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives Paper • 2406.12084 • Published Jun 17, 2024
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers Paper • 2410.13184 • Published Oct 17, 2024 • 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
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? Paper • 2409.07703 • Published Sep 12, 2024 • 67 • 5
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? Paper • 2409.07703 • Published Sep 12, 2024 • 67
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? Paper • 2409.07703 • Published Sep 12, 2024 • 67 • 5