Papers
17,973 papers found
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study
Yizheng Sun, Hao Li, Chang Xu et al.
Does Context Matter? A Prosodic Comparison of English and Spanish in Monolingual and Multilingual Discourse Settings
Debasmita Bhattacharya, David Sasu, Michela Marchini et al.
Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach
James Ford, Anthony Rios
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models
Hwiyeong Lee, Uiji Hwang, Hyelim Lim et al.
Does quantization affect models’ performance on long-context tasks?
Anmol Mekala, Anirudh Atmakuru, Yixiao Song et al.
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
Xuyang Wu, Jinming Nian, Ting-Ruen Wei et al.
Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models?
Zhihui Yang, Yupei Wang, Kaijie Mo et al.
Do Influence Functions Work on Large Language Models?
Zhe Li, Wei Zhao, Yige Li et al.
Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation
Sofia Jamil, Kotla Sai Charan, Sriparna Saha et al.
Do Large Language Models excel in Complex Logical Reasoning with Formal Language?
Jin Jiang, Jianing Wang, Yuchen Yan et al.
Do Large Language Models Know When Not to Answer in Medical QA?
Sravanthi Machcha, Sushrita Yerra, Sharmin Sultana et al.
Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic
Yang Yan, Yu Lu, Renjun Xu et al.
Do Large Language Models Understand Word Senses?
Domenico Meconi, Simone Stirpe, Federico Martelli et al.
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba et al.
Do LLMs Behave as Claimed? Investigating How LLMs Follow Their Own Claims using Counterfactual Questions
Haochen Shi, Shaobo Li, Guoqing Chao et al.
Do LLMs Encode Frame Semantics? Evidence from Frame Identification
Jayanth Krishna Chundru, Rudrashis Poddar, Jie Cao et al.
Do LLMs Know and Understand Domain Conceptual Knowledge?
Sijia Shen, Feiyan Jiang, Peiyan Wang et al.
Do LLMs Understand Wine Descriptors Across Cultures? A Benchmark for Cultural Adaptations of Wine Reviews
Chenye Zou, Xingyue Wen, Tianyi Hu et al.
Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs
Zhikai Ding, Shiyu Ni, Keping Bi
Domain Adapted Text Summarization with Self-Generated Guidelines
Andrianos Michail, Bartosz Rudnikowicz, Pavlos Fragkogiannis et al.
Domain Pre-training Impact on Representations
Cesar Gonzalez-Gutierrez, Ariadna Quattoni
DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms
Xiaojun Bi, Shuo Li, Junyao Xing et al.
Don’t Forget the Base Retriever! A Low-Resource Graph-based Retriever for Multi-hop Question Answering
André Melo, Enting Chen, Pavlos Vougiouklis et al.
Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation
Colten DiIanni, Daniel Deutsch