Chengyuan Liu
11 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
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EMNLP (5)
ACL (3)
AAAI (1)
COLING (1)
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Keywords
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
(1)
information extraction
(1)
relation extraction
(1)
Papers
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering
AAAI 2026
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
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval
EMNLP 2025
UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever
ACL 2025
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
EMNLP 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
EMNLP 2024
Evolving Knowledge Distillation with Large Language Models and Active Learning
COLING 2024
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction
EMNLP 2023
Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training
ACL 2023
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples
EMNLP 2022