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Tianhua Tao
Observed name:
Tao, Tianhua
Institution:
University of Washington
Observed institutions:
University of Illinois Urbana-Champaign,
University of Washington,
Cerebras Systems (United States),
Stanford University,
Tsinghua University
OpenAlex ID:
A5081822522
Language Models Meet World Models: Embodied Experiences Enhance Language Models
2023
·
Jiannan Xiang
, Tianhua Tao
, et al.
·
neural information processing systems
·
34
PDF
A Large-Scale Foundation Model for RNA Function and Structure Prediction
2024
·
Shuxian Zou
, Tianhua Tao
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
21
Mixture of Experts Enable Efficient and Effective Protein Understanding and Design
2024
·
Ning Sun
, Shuxian Zou
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
18
Scaling Dense Representations for Single Cell with Transcriptome-Scale Context
2024
·
Nicholas Ho
, Caleb N. Ellington
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
15
SciCode: A Research Coding Benchmark Curated by Scientists
2024
·
Minyang Tian
, Luyu Gao
, et al.
·
neural information processing systems
·
15
PDF
Accurate and General DNA Representations Emerge from Genome Foundation Models at Scale
2024
·
Caleb N. Ellington
, Ning Sun
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
13
On the Learning of Non-Autoregressive Transformers
2022
·
Huang, Fei
, Tao, Tianhua
, et al.
·
arXiv (Cornell University)
·
11
PDF
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
2024
·
Sukmin Yun
, Haokun Lin
, et al.
·
neural information processing systems
·
8
PDF
Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
2022
·
Guangyi Liu
, Zichao Yang
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
7
PDF
A Large-Scale Foundation Model for RNA Enables Diverse Function and Structure Prediction
2025
·
Eric Xing
, Shuxian Zou
, et al.
·
Research Square
·
5
PDF
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
2021
·
Liu, Guangyi
, Yang, Zichao
, et al.
·
arXiv (Cornell University)
·
4
PDF
LLM360: Towards Fully Transparent Open-Source LLMs
2023
·
Liu, Zhengzhong
, Qiao, Aurick
, et al.
·
arXiv (Cornell University)
·
3
PDF
SlimPajama-DC: Understanding Data Combinations for LLM Training
2023
·
Shen, Zhiqiang
, Tao, Tianhua
, et al.
·
arXiv (Cornell University)
·
3
PDF
Pandora: Towards General World Model with Natural Language Actions and Video States
2024
·
Xiang, Jiannan
, Liu, Guangyi
, et al.
·
arXiv (Cornell University)
·
1
PDF
A Near-Zero Monitor Readout Is Not Evidence of Behavioral Control
2026
·
Zhou, Zhe
, Tao, Tianhua
·
arXiv (Cornell University)
PDF
LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch
2025
·
Liu, Zhengzhong
, Tan, Bowen
, et al.
·
arXiv (Cornell University)
PDF
Crystal: Illuminating LLM Abilities on Language and Code
2024
·
Tao, Tianhua
, Li, Junbo
, et al.
·
arXiv (Cornell University)
PDF
CrystalCoder and CrystalChat: Illuminating LLM abilities on language and code
2024
·
Tao, Tianhua
·
Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
PDF
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Works count:
18
Citation count:
158
H-index:
8
I10-index:
7
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