Tianqiao Liu
8 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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Artificial Intelligence
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Machine Learning
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Deep Learning
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Natural Language Processing
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Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
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Speech & Audio
(2)
Analysis
(2)
Interdisciplinary
(1)
Reinforcement Learning
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mathematical reasoning
(2)
sentiment analysis
(1)
monte carlo tree search
(1)
multimodal learning
(1)
self-supervised learning
(1)
weakly supervised learning
(1)
preference alignment
(1)
text generation
(1)
counterfactual regression
(1)
cross-modal learning
(1)
visual reasoning
(1)
low-resource learning
(1)
continued pretraining
(1)
implicit feedback
(1)
optimal transport
(1)
denoising autoencoder
(1)
treatment effect estimation
(1)
supervised fine-tuning
(1)
domain adaptation
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causal inference
(1)
Papers
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
ICLR 2025
StatsChartMWP: A Dataset for Evaluating Multimodal Mathematical Reasoning Abilities on Math Word Problems with Statistical Charts
EMNLP 2025
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
ICML 2025
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
AAAI 2025
Optimal Transport for Treatment Effect Estimation
NeurIPS 2023
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data
AAAI 2022
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
EMNLP 2021
Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
EMNLP 2021