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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

DE-COP: Detecting Copyrighted Content in Language Models Training Data ICML 2024 DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024 Deep Bayesian Active Learning for Preference Modeling in Large Language Models NeurIPS 2024 Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning EMNLP 2024 Deepfake Defense: Constructing and Evaluating a Specialized Urdu Deepfake Audio Dataset ACL 2024 Deep Fusion: Efficient Network Training via Pre-trained Initializations ICML 2024 DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning EMNLP 2024 DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models ACL 2024 Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization ACL 2024 Defending LLMs against Jailbreaking Attacks via Backtranslation ACL 2024 Defining an Ontology for Museum Critical Cataloguing Terminology Guidelines COLING 2024 Definition Generation for Automatically Induced Semantic Frame ACL 2024 Definition generation for lexical semantic change detection ACL 2024 DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection for Text-Editing EMNLP 2024 Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning NAACL 2024 DE-Lite - a New Corpus of Easy German: Compilation, Exploration, Analysis EACL 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NeurIPS 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NeurIPS 2024 Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts ACL 2024 Demonstration Augmentation for Zero-shot In-context Learning ACL 2024 Demonstration Retrieval-Augmented Generative Event Argument Extraction COLING 2024 Demystifying Embedding Spaces using Large Language Models ICLR 2024 Demystifying Instruction Mixing for Fine-tuning Large Language Models ACL 2024 DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING ICLR 2024