Papers
176,624 papers found
AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation
Vaishnavi Pulavarthi, Deeksha Nandal, Soham Dan et al.
Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
Bhagesh Gaur, Karan Gupta, Aseem Srivastava et al.
Assessing and Learning Alignment of Unimodal Vision and Language Models
Le Zhang, Qian Yang, Aishwarya Agrawal
Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models
Weiyi Wu, Xinwen Xu, Chongyang Gao et al.
Assessing Critical Thinking Components in Romanian Secondary School Textbooks: A Data Mining Approach to the ROTEX Corpus
Madalina Chitez, Liviu Dinu, Marius Micluta-Campeanu et al.
Assessing Crowdsourced Annotations with LLMs: Linguistic Certainty as a Proxy for Trustworthiness
Tianyi Li, Divya Sree, Tatiana Ringenberg
Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
Fangru Lin, Shaoguang Mao, Emanuele La Malfa et al.
Assessing effective de-escalation of crisis conversations using transformer-based models and trend statistics
Ignacio J. Tripodi, Greg Buda, Margaret Meagher et al.
Assessing French Readability for Adults with Low Literacy: A Global and Local Perspective
Wafa Aissa, Thibault Bañeras-Roux, Elodie Vanzeveren et al.
Assessing Gender Bias of Pretrained Bangla Language Models in STEM and SHAPE Fields
Noor Mairukh Khan Arnob, Saiyara Mahmud, Azmine Toushik Wasi
Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation
Abdessalam Bouchekif, Samer Rashwani, Heba Sbahi et al.
Assessing LLM Reasoning Steps via Principal Knowledge Grounding
Hyeon Hwang, Yewon Cho, Chanwoong Yoon et al.
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
Hadi Askari, Anshuman Chhabra, Muhao Chen et al.
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models
Jean Park, Kuk Jin Jang, Basam Alasaly et al.
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
Tengxue Zhang, Yang Shu, Xinyang Chen et al.
Assessing Reliability and Political Bias In LLMs’ Judgements of Formal and Material Inferences With Partisan Conclusions
Reto Gubelmann, Ghassen Karray
Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs
Kyubyung Chae, Gihoon Kim, Gyuseong Lee et al.
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
Junyi Ye, Jingyi Gu, Xinyun Zhao et al.
Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies
Gianluca Cima, Domenico Lembo, Lorenzo Marconi et al.
Assessing the Human Likeness of AI-Generated Counterspeech
Xiaoying Song, Sujana Mamidisetty, Eduardo Blanco et al.
Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract)
Rally Lin, Christina Mo, Reyan Shariff et al.
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
Debanjan Dutta, Faizanuddin Ansari, Swagatam Das
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
Debanjan Dutta, Faizanuddin Ansari, Swagatam Das
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
Nghia Tuan Bui, Guergana K Savova, Lijing Wang
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
Nghia Tuan Bui, Guergana K Savova, Lijing Wang