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Alan Akbik

49 papers · 2012–2026 · 7 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Alan Akbik?

7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Max Ploner, Jonas Golde, Patrick Haller 22 papers · 2023–2026 · EMNLP, ACL, NAACL Hide ▲
FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition EACL 2026 Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs EMNLP 2025 Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data NAACL 2025 From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025 LM-Pub-Quiz: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models NAACL 2025 Measuring Label Ambiguity in Subjective Tasks using Predictive Uncertainty Estimation ACL 2025 Pre-Training Curriculum for Multi-Token Prediction in Language Models ACL 2025 Question Decomposition for Retrieval-Augmented Generation ACL 2025 Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements EMNLP 2025 Token-Level Metrics for Detecting Incorrect Gold Annotations in Named Entity Recognition EMNLP 2025 Towards a Principled Evaluation of Knowledge Editors ACL 2025 TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks NAACL 2025 BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models NAACL 2024 BabyHGRN: Exploring RNNs for Sample-Efficient Language Modeling CoNLL 2024 Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks ACL 2024 Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition EACL 2024 Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning EMNLP 2024 NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition EMNLP 2024 OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs NAACL 2024 PECC: Problem Extraction and Coding Challenges COLING 2024 Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune? EACL 2024 Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs EMNLP 2023
7 papers whose co-authors appear nowhere else under this name