Resources & Methods

Collaboration or Corporate Capture? Quantifying NLP’s Reliance on Industry Artifacts and Contributions ACL 2024 Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing ACL 2024 Collaborative Performance Prediction for Large Language Models EMNLP 2024 CoLLaVO: Crayon Large Language and Vision mOdel ACL 2024 CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training NeurIPS 2024 ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency NeurIPS 2024 Combining Deep Learning Models and Lexical Linked Data: Some Insights from the Development of a Multilingual News Named Entity Recognition and Linking Dataset COLING 2024 Combining Multiple Metrics for Evaluating Retrieval-Augmented Conversations NAACL 2024 Combining Neo-Structuralist and Cognitive Approaches to Semantics to Build Wordnets for Ancient Languages: Challenges and Perspectives COLING 2024 Combining semantic annotation schemes through interlinking COLING 2024 COMET for Low-Resource Machine Translation Evaluation: A Case Study of English-Maltese and Spanish-Basque COLING 2024 Commentator: A Code-mixed Multilingual Text Annotation Framework EMNLP 2024 COMMIT: Code-Mixing English-Centric Large Language Model for Multilingual Instruction Tuning NAACL 2024 Common European Language Data Space COLING 2024 CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024 Commonsense Knowledge Editing Based on Free-Text in LLMs EMNLP 2024 Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities EMNLP 2024 Community OSCAR: A Community Effort for Multilingual Web Data EMNLP 2024 Comparing Discrete and Continuous Space LLMs for Speech Recognition Interspeech 2024 Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models NAACL 2024 Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning ACL 2024 Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages NAACL 2024 Comparing panic and anxiety on a dataset collected from social media EACL 2024 Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? ACL 2024 Comparing Static and Contextual Distributional Semantic Models on Intrinsic Tasks: An Evaluation on Mandarin Chinese Datasets COLING 2024