Papers
17,973 papers found
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings
Liyan Xu, Zhenlin Su, Mo Yu et al.
Dependency Parsing-Based Syntactic Enhancement of Relation Extraction in Scientific Texts
Devvrat Joshi, Islem Rekik
Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices
Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub et al.
Depression Detection on Social Media with Large Language Models
Xiaochong Lan, Zhiguang Han, Yiming Cheng et al.
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
Keane Ong, Rui Mao, Deeksha Varshney et al.
Design and Analysis of few Million Parameter Transformer-based Language Models trained over a few Million Tokens Dataset
Yen-Che Hsiao, Abhishek Dutta
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
Zhu Wang, Homaira Huda Shomee, Sathya N. Ravi et al.
Detecting Continuously Evolving Scam Calls under Limited Annotation: A LLM-Augmented Expert Rule Framework
Haoyu Ma, Qinliang Su, Minhua Huang et al.
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Sina Semnani, Jirayu Burapacheep, Arpandeep Khatua et al.
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
Zhuo Chen, Xinyu Wang, Yong Jiang et al.
Detecting Legal Citations in United Kingdom Court Judgments
Holli Sargeant, Andreas Östling, Måns Magnusson
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions
Hazel Kim, Tom A. Lamb, Adel Bibi et al.
Detecting Omissions in LLM-Generated Medical Summaries
Achir Oukelmoun, Nasredine Semmar, Gaël de Chalendar et al.
Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models
Jinwen Chen, Hainan Zhang, Fei Sun et al.
Detoxifying Large Language Models via the Diversity of Toxic Samples
Ying Zhao, Yuanzhao Guo, Xuemeng Weng et al.
Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models
Jiyue Jiang, Alfred Kar Yin Truong, Yanyu Chen et al.
Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time
Huihan Li, You Chen, Siyuan Wang et al.
Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization
Guangliang Liu, Zimo Qi, Xitong Zhang et al.
Diagram-Driven Course Questions Generation
Xinyu Zhang, Lingling Zhang, Yanrui Wu et al.
Dialectal Toxicity Detection: Evaluating LLM-as-a-Judge Consistency Across Language Varieties
Fahim Faisal, Md Mushfiqur Rahman, Antonios Anastasopoulos
Dialect-SQL: An Adaptive Framework for Bridging the Dialect Gap in Text-to-SQL
Jie Shi, Xi Cao, Bo Xu et al.
DialG2P: Dialectal Grapheme-to-Phoneme. Arabic as a Case Study
Majd Hawasly, Hamdy Mubarak, Ahmed Abdelali et al.
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues
Mengze Hong, Wailing Ng, Chen Jason Zhang et al.
Dialogue Acts as a Lens on Human–LLM Interaction: Analyzing Conversational Norms in Model-Generated Responses
Arunima Maitra, Dorothea French, Katharina von der Wense
Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)
Francesca Padovani, Bastian Bunzeck, Manar Ali et al.