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Papers
What Makes You CLIC: Detection of Croatian Clickbait Headlines
ACL 2025
When can in-context learning generalize out of task distribution?
ICML 2025
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning
NAACL 2025
When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
EMNLP 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
EMNLP 2025
Whether LLMs Know If They Know: Identifying Knowledge Boundaries via Debiased Historical In-Context Learning
ACL 2025
Which Attention Heads Matter for In-Context Learning?
ICML 2025
“Whose Side Are You On?” Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
IJCNLP 2025
Why In-Context Learning Models are Good Few-Shot Learners?
ICLR 2025
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
NAACL 2025
X-Prompt: Generalizable Auto-Regressive Visual Learning with In-Context Prompting
ICCV 2025
Z1: Efficient Test-time Scaling with Code
EMNLP 2025
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
ICML 2025
Zero-Shot Cross-Lingual Transfer using Prefix-Based Adaptation
EMNLP 2025
Zero-shot forecasting of chaotic systems
ICLR 2025
Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles
AAAI 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
ICLR 2025
A Benchmark for Learning to Translate a New Language from One Grammar Book
ICLR 2024
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
EMNLP 2024
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
NeurIPS 2024
A Comparison of Fine-Tuning and In-Context Learning for Clause-Level Morphosyntactic Alternation
NAACL 2024
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
EMNLP 2024
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
EMNLP 2024
Adapting LLM Predictions in In-Context Learning with Data Priors
EMNLP 2024
Adapting LLM to Multi-lingual ESG Impact and Length Prediction Using In-context Learning and Fine-Tuning with Rationale
COLING 2024