Natural Language Processing

Debiasing Multimodal Sarcasm Detection with Contrastive Learning AAAI 2024 Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations NAACL 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 Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024 Deciphering Hate: Identifying Hateful Memes and Their Targets ACL 2024 Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies COLING 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 Decoder-only Streaming Transformer for Simultaneous Translation ACL 2024 Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs COLING 2024 Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics ACL 2024 Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation Interspeech 2024 Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models Using Minimal Pairs COLING 2024 Decoding the Metrics Maze: Navigating the Landscape of Conversational Question Answering System Evaluation in Procedural Tasks COLING 2024 Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition COLING 2024 Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning ACL 2024 Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling ICML 2024 Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models ACL 2024 DE-COP: Detecting Copyrighted Content in Language Models Training Data ICML 2024 DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models EMNLP 2024 DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting EMNLP 2024 DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024