Tongran Liu
13 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(11)
Artificial Intelligence
(9)
Core AI
(9)
Deep Learning
(8)
Natural Language Processing
(7)
Optimization & Theory
(6)
Learning Types Β· Deep Learning
(5)
Application Areas
(4)
Applications
(3)
Learning Types Β· Machine Learning
(3)
Architectures
(2)
Core Methods
(2)
Generation
(2)
Models
(2)
Resources & Methods
(2)
Keywords
preference optimization
(2)
reward model
(2)
machine translation
(2)
model compression
(2)
neural machine translation
(2)
reinforcement learning from human feedback
(2)
language model alignment
(2)
proximal policy optimization
(2)
policy optimization
(1)
in-context learning
(1)
stochastic gradient descent
(1)
sequence generation
(1)
named entity recognition
(1)
language modeling
(1)
preference alignment
(1)
instruction following
(1)
reinforcement learning
(1)
neural architecture search
(1)
multilingual processing
(1)
direct preference optimization
(1)
Papers
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
AAAI 2026
GRAM: A Generative Foundation Reward Model for Reward Generalization
ICML 2025
HEAL: A Hypothesis-Based Preference-Aware Analysis Framework
EMNLP 2025
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
AAAI 2025
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
AAAI 2024
Hybrid Alignment Training for Large Language Models
ACL 2024
Revealing the Parallel Multilingual Learning within Large Language Models
EMNLP 2024
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
ACL 2020
Learning Architectures from an Extended Search Space for Language Modeling
ACL 2020
Neural Machine Translation with Joint Representation
AAAI 2020
Towards Fully 8-bit Integer Inference for the Transformer Model
IJCAI 2020
Sharing Attention Weights for Fast Transformer
IJCAI 2019
Fast Parallel Training of Neural Language Models
IJCAI 2017