Yilun Liu
20 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
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Keywords
large language model
(8)
zero-shot learning
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machine translation
(3)
prompt learning
(2)
knowledge graph
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prompt engineering
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quality estimation
(2)
legal reasoning
(2)
neural machine translation
(2)
natural language inference
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instruction tuning
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bert score
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multilingual translation
(1)
argument mining
(1)
question answering
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entity linking
(1)
text classification
(1)
domain adaptation
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confidence calibration
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(1)
Papers
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
EACL 2026
LLM Safety From Within: Detecting Harmful Content with Internal Representations
ACL 2026
The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models
ACL 2026
TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only
ACL 2026
MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis
AAAI 2026
Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM
AAAI 2026
ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction
AAAI 2026
SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training
AAAI 2025
Taming Text-to-Image Synthesis for Novices: User-centric Prompt Generation via Multi-turn Guidance
EMNLP 2025
SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
ACL 2024
HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task
SEMEVAL 2024
HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task
NAACL 2024
HW-TSC at TextGraphs-17 Shared Task: Enhancing Inference Capabilities of LLMs with Knowledge Graphs
ACL 2024
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
EMNLP 2024
HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical Trial
ACL 2023
Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSCβs Submission to the WMT23 Metrics Shared Task
EMNLP 2023
HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical Trial
SEMEVAL 2023
Partial Could Be Better than Whole. HW-TSC 2022 Submission for the Metrics Shared Task
EMNLP 2022
Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics
AACL 2022
HwTscSUβs Submissions on WAT 2022 Shared Task
COLING 2022