Papers
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination
Xuan Gong, Tianshi Ming, Xinpeng Wang et al.
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
Zhengxuan Wu, Yuhao Zhang, Peng Qi et al.
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
Fei Wang, Ninareh Mehrabi, Palash Goyal et al.
Data Contamination Can Cross Language Barriers
Feng Yao, Yufan Zhuang, Zihao Sun et al.
Data, Data Everywhere: A Guide for Pretraining Dataset Construction
Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings et al.
Data Diversity Matters for Robust Instruction Tuning
Alexander Bukharin, Shiyang Li, Zhengyang Wang et al.
Data-driven Coreference-based Ontology Building
Shir Ashury Tahan, Amir David Nissan Cohen, Nadav Cohen et al.
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts
Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Rizwan Parvez et al.
Datasets for Multilingual Answer Sentence Selection
Matteo Gabburo, Stefano Campese, Federico Agostini et al.
DataTales: A Benchmark for Real-World Intelligent Data Narration
Yajing Yang, Qian Liu, Min-Yen Kan
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding
Bowen Xing, Lizi Liao, Minlie Huang et al.
DCU ADAPT at WMT24: English to Low-resource Multi-Modal Translation Task
Sami Haq, Rudali Huidrom, Sheila Castilho
Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing
Enrica Troiano, Sofie Labat, Marco Antonio Stranisci et al.
DeBERTa Beats Behemoths: A Comparative Analysis of Fine-Tuning, Prompting, and PEFT Approaches on LegalLensNER
Hanh Thi Hong Tran, Nishan Chatterjee, Senja Pollak et al.
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
Olivia Sturman, Aparna R Joshi, Bhaktipriya Radharapu et al.
Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
Konstantin Grotov, Artem Borzilov, Maksim Krivobok et al.
Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework
Gopendra Vikram Singh, Sai Vardhan Vemulapalli, Mauajama Firdaus et al.
Deciphering psycho-social effects of Eating Disorder : Analysis of Reddit Posts using Large Language Model(LLM)s and Topic Modeling
Medini Chopra, Anindita Chatterjee, Lipika Dey et al.
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning
Chang Yang, Peng Zhang, Hui Gao et al.
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models
Mehrdad Farahani, Richard Johansson
Decoding Ableism in Large Language Models: An Intersectional Approach
Rong Li, Ashwini Kamaraj, Jing Ma et al.
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
Keqin Bao, Jizhi Zhang, Yang Zhang et al.
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
Yanchen Liu, Mingyu Derek Ma, Wenna Qin et al.