Tianlu Wang

Orcid: 0000-0001-9972-7821

According to our database1, Tianlu Wang authored at least 46 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SMARTdb: An Integrated Database for Exploring Single-cell Multi-omics Data of Reproductive Medicine.
Genom. Proteom. Bioinform., 2024

Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inference.
CoRR, 2024

Self-Taught Evaluators.
CoRR, 2024

Contextual Position Encoding: Learning to Count What's Important.
CoRR, 2024

Efficient Tool Use with Chain-of-Abstraction Reasoning.
CoRR, 2024

The ART of LLM Refinement: Ask, Refine, and Trust.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Open-Domain Text Evaluation via Contrastive Distribution Methods.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
PathFinder: Guided Search over Multi-Step Reasoning Paths.
CoRR, 2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.
CoRR, 2023

Shepherd: A Critic for Language Model Generation.
CoRR, 2023

Open-Domain Text Evaluation via Meta Distribution Modeling.
CoRR, 2023

Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning.
CoRR, 2023

Variation of Gender Biases in Visual Recognition Models Before and After Finetuning.
CoRR, 2023

Prognostic Survival Prediction Model of Non-small Cell Lung Cancer Based on Multimodal Feature Fusion.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Gender Biases in Automatic Evaluation Metrics for Image Captioning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images.
Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023

ALERT: Adapt Language Models to Reasoning Tasks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Understanding In-Context Learning via Supportive Pretraining Data.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.
CoRR, 2022

ALERT: Adapting Language Models to Reasoning Tasks.
CoRR, 2022

Text Characterization Toolkit.
CoRR, 2022

OPT: Open Pre-trained Transformer Language Models.
CoRR, 2022

Characterization of Cellular Mechanical Properties Upon Drug Action Using a Dynamical System Model.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Text Characterization Toolkit (TCT).
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Few-shot Learning with Multilingual Generative Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
The impact of traceability on software maintenance and evolution: A mapping study.
J. Softw. Evol. Process., 2021

Few-shot Learning with Multilingual Language Models.
CoRR, 2021

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.
CoRR, 2021

A New Method for Characterization of Single Cell Using System Identification.
Proceedings of the 16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2021

Visual News: Benchmark and Challenges in News Image Captioning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

General Multi-Label Image Classification With Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Ultrasound-Guided Wireless Tubular Robotic Anchoring System.
IEEE Robotics Autom. Lett., 2020

VisualNews : Benchmark and Challenges in Entity-aware Image Captioning.
CoRR, 2020

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A Magnetically-Actuated Untethered Jellyfish-Inspired Soft Milliswimmer.
Proceedings of the Robotics: Science and Systems XV, 2019

Gender Bias in Contextualized Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Adversarial Removal of Gender from Deep Image Representations.
CoRR, 2018

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

What Aspects Do Non-Functional Requirements in App User Reviews Describe? An Exploratory and Comparative Study.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning.
Proceedings of the NAACL HLT 2016, 2016


  Loading...