Skip to content
conftrace_

Papers (including subtopics)

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA EMNLP 2024 Do Language Models Know When They’re Hallucinating References? EACL 2024 Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers NAACL 2024 Do Large Language Models Understand Mansplaining? Well, Actually... COLING 2024 Do LLMs Know to Respect Copyright Notice? EMNLP 2024 Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs EMNLP 2024 Dolomites@#SMM4H 2024: Helping LLMs “Know The Drill” in Low-Resource Settings - A Study on Social Media Posts ACL 2024 Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning ACL 2024 Domain Adaptation via Prompt Learning for Alzheimer’s Detection EMNLP 2024 Domain adapted machine translation: What does catastrophic forgetting forget and why? EMNLP 2024 Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024 Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation ACL 2024 Domain Dynamics: Evaluating Large Language Models in English-Hindi Translation EMNLP 2024 Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction EMNLP 2024 Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification IJCAI 2024 Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification? ACL 2024 Domain Transferable Semantic Frames for Expert Interview Dialogues COLING 2024 Do Metadata and Appearance of the Retrieved Webpages Affect LLM’s Reasoning in Retrieval-Augmented Generation? EMNLP 2024 Do Multilingual Language Models Think Better in English? NAACL 2024 Don’t Augment, Rewrite? Assessing Abusive Language Detection with Synthetic Data ACL 2024 Don’t be my Doctor! Recognizing Healthcare Advice in Large Language Models EMNLP 2024 Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024 Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection ACL 2024 Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration ACL 2024 Don’t Just Translate, Summarize Too: Cross-lingual Product Title Generation in E-commerce COLING 2024