Shengding Hu
Tsinghua / OpenBMB researcher; co-author on UltraChat, MiniCPM, and on parameter-efficient and prompt-tuning open-toolkit papers.
- Role
- researcher
- Currently at
- OpenBMB
- twitter.com/shengdinghu
- GitHub
- github.com/shengdinghu
- Scholar
- scholar.google.com/citations
- Papers
- 14
Cite
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Authored papers
14EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
arXiv 2025
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
arXiv 2025
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
arXiv 2024
$\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens
arXiv 2024
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models
arXiv 2024
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer
arXiv 2024
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models
arXiv 2024
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
EMNLP
Tool Learning with Foundation Models
arXiv 2023
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
arXiv 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning
arXiv 2023
Won't Get Fooled Again: Answering Questions with False Premises
arXiv 2023
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
arXiv 2022
OpenPrompt: An Open-source Framework for Prompt-learning
ACL 2022 5
Affiliations
Frequent co-authors
10from 14 papers