Large Language Models

DDPrompt: Differential Diversity Prompting in Large Language Models ACL 2024 Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step ACL 2024 Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? NAACL 2024 Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework EMNLP 2024 Deciphering psycho-social effects of Eating Disorder : Analysis of Reddit Posts using Large Language Model(LLM)s and Topic Modeling EMNLP 2024 Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024 Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models EMNLP 2024 Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling ICML 2024 DE-COP: Detecting Copyrighted Content in Language Models Training Data ICML 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 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 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 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 Demonstration Augmentation for Zero-shot In-context Learning ACL 2024 Demystifying Embedding Spaces using Large Language Models ICLR 2024 Demystifying Instruction Mixing for Fine-tuning Large Language Models ACL 2024