Papers
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping
Yongrui Chen, Haiyun Jiang, Xinting Huang et al.
Do large language models and humans have similar behaviours in causal inference with script knowledge?
Xudong Hong, Margarita Ryzhova, Daniel Biondi et al.
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
Yuan Wang, Xuyang Wu, Hsin-Tai Wu et al.
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks
Ting-Yun Chang, Jesse Thomason, Robin Jia
Do Multilingual Language Models Think Better in English?
Julen Etxaniz, Gorka Azkune, Aitor Soroa et al.
Don’t be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks
Seunguk Yu, Juhwan Choi, YoungBin Kim
Do Prompt Positions Really Matter?
Junyu Mao, Stuart E. Middleton, Mahesan Niranjan
DoubleLingo: Causal Estimation with Large Language Models
Marko Veljanovski, Zach Wood-Doughty
Do Vision-Language Models Understand Compound Nouns?
Sonal Kumar, Sreyan Ghosh, S Sakshi et al.
DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift
Myeongjun Jang, Antonios Georgiadis, Yiyun Zhao et al.
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation
Ramraj Chandradevan, Kaustubh Dhole, Eugene Agichtein
DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction
Yuxi Feng, Laks Lakshmanan
DUTh at SemEval 2024 Task 5: A multi-task learning approach for the Legal Argument Reasoning Task in Civil Procedure
Ioannis Maslaris, Avi Arampatzis
DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration Mistakes
Ioanna Iordanidou, Ioannis Maslaris, Avi Arampatzis
DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection
Theodora Kyriakou, Ioannis Maslaris, Avi Arampatzis
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes
Erchen Yu, Junlong Wang, Xuening Qiao et al.
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu et al.
E5: Zero-shot Hierarchical Table Analysis using Augmented LLMs via Explain, Extract, Execute, Exhibit and Extrapolate
Zhehao Zhang, Yan Gao, Jian-Guang Lou
eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure
Hoorieh Sabzevari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh
EDC: Effective and Efficient Dialog Comprehension For Dialog State Tracking
Qifan Lu, Bhaskar Ramasubramanian, Radha Poovendran
EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition
Zixiao Zhu, Junlang Qian, Zijian Feng et al.
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints
Aryo Gema, Chaeeun Lee, Pasquale Minervini et al.
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4
Aryo Gema, Giwon Hong, Pasquale Minervini et al.