Papers by Yexiang Xue
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach (2020.findings-emnlp)
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| Challenge: | Generating natural language under complex constraints is a principled formulation towards controllable text generation. |
| Approach: | They propose a method to specify combinatorial constraints for sentence generation . they use a tree search algorithm embedded into the proposal process of the Markov Chain Monte Carlo . |
| Outcome: | The proposed method achieves consistent and significant improvement on multiple language generation tasks. |
Natural Language-based State Representation in Deep Reinforcement Learning (2024.findings-naacl)
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| Challenge: | a new method for learning policies from images is proposed to reduce image-based observations' complexity and improve interpretability. |
| Approach: | They propose a method that compresses images into a natural language form for state representation. |
| Outcome: | The proposed method allows better interpretability and leverages processing capabilities of large-language models. |