Papers by Yufei Xiang

2 papers
Tree-Structured Non-Autoregressive Decoding for Sequence-to-Sequence Text Generation (2025.findings-emnlp)

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Challenge: Autoregressive Transformers suffer from high inference latency due to sequential token generation.
Approach: They propose a tree-structured non-autoregressive decoding paradigm that bridges autoregressive and non-automatic decoding.
Outcome: The proposed paradigm outperforms autoregressive and non-autoregressive decoding in machine translation and paraphrase generation.
Retrospex: Language Agent Meets Offline Reinforcement Learning Critic (2024.emnlp-main)

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Challenge: Existing LLM agent frameworks do not fully utilize past experiences for improvement.
Approach: They propose a LLM-based agent framework called Retrospex that analyzes past experiences in depth to improve existing agent frameworks.
Outcome: The proposed framework analyzes past experiences in ScienceWorld, ALFWorld and Webshop environments, demonstrating its advantages over baselines.

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