Cheng-Kuang Wu
8 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Hot Topic Early Bird
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The Questioner
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Machine Learning
(7)
Artificial Intelligence
(6)
Natural Language Processing
(6)
Core AI
(6)
Learning Types · Machine Learning
(6)
Resources & Methods
(4)
Deep Learning
(3)
Generation
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Learning Types · Deep Learning
(2)
Computer Science
(1)
Application Areas
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Science
(1)
Models
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Keywords
large language model
(5)
language model
(2)
zero-shot learning
(2)
online learning
(1)
decision making
(1)
natural language inference
(1)
in-context learning
(1)
dialogue generation
(1)
text generation
(1)
confidence calibration
(1)
bias mitigation
(1)
evaluation metric
(1)
hallucination detection
(1)
selection bia
(1)
reasoning ability
(1)
performance degradation
(1)
abstractive summarization
(1)
chain of thought
(1)
multiple-choice question
(1)
language agent
(1)
Papers
None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering
ACL 2025
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation
EMNLP 2024
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance.
EMNLP 2024
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents
NeurIPS 2024
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models
ACL 2024
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation
EMNLP 2023
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations
EMNLP 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
EMNLP 2023