Tianqiao Liu

According to our database1, Tianqiao Liu authored at least 24 papers between 2019 and 2026.

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

2026
Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective.
CoRR, February, 2026

2025
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models.
CoRR, November, 2025

From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training.
CoRR, September, 2025

ArithmeticGPT: empowering small-size large language models with advanced arithmetic skills.
Mach. Learn., January, 2025

Advancing Math Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages.
CoRR, January, 2025

Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

StatsChartMWP: A Dataset for Evaluating Multimodal Mathematical Reasoning Abilities on Math Word Problems with Statistical Charts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding.
CoRR, 2024

Hypertext Entity Extraction in Webpage.
CoRR, 2024

2023
Optimal Transport for Treatment Effect Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
ESCM<sup>2</sup>: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.
CoRR, 2022

ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations.
CoRR, 2021

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations.
CoRR, 2020

Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
Dolphin: A Verbal Fluency Evaluation System for Elementary Education.
CoRR, 2019

Recommender Systems with Heterogeneous Side Information.
Proceedings of the World Wide Web Conference, 2019

Automatic Short Answer Grading via Multiway Attention Networks.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019


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