Chengyuan Liu
11 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Machine Learning
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Artificial Intelligence
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Deep Learning
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Generation
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large language model
(5)
domain adaptation
(4)
knowledge distillation
(2)
parameter-efficient fine-tuning
(2)
text representation
(2)
text classification
(2)
legal domain
(2)
named entity recognition
(2)
multi-task learning
(1)
logical reasoning
(1)
adversarial learning
(1)
attention mechanism
(1)
reinforcement learning
(1)
preference alignment
(1)
causal reasoning
(1)
catastrophic forgetting
(1)
question answering
(1)
natural language generation
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information extraction
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relation extraction
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Papers
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering
AAAI 2026
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval
EMNLP 2025
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
NAACL 2025
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction
ACL 2025
UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever
ACL 2025
Evolving Knowledge Distillation with Large Language Models and Active Learning
COLING 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
EMNLP 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
EMNLP 2024
Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training
ACL 2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction
EMNLP 2023
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples
EMNLP 2022