| 2024 | InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. | Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2024 | CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems. | Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Sebastian Mller |
| 2024 | Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. | Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun |
| 2024 | FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. | Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma |
| 2024 | FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. | Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu |
| 2024 | Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. | Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang |
| 2024 | BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. | Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao |
| 2024 | VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. | Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin |
| 2024 | JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. | Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., Mara Prez-Ortiz |
| 2024 | How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. | Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu |
| 2024 | LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models. | Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu |
| 2024 | Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets. | Melanie Walsh, Maria Antoniak, Anna Preus |
| 2024 | The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification. | Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych |
| 2024 | Paraphrase Types Elicit Prompt Engineering Capabilities. | Jan Philip Wahle, Terry Ruas, Yang Xu, Bela Gipp |
| 2024 | CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models. | Eitan Wagner, Yuli Slavutsky, Omri Abend |
| 2024 | Exploring the Learning Capabilities of Language Models using LEVERWORLDS. | Eitan Wagner, Amir Feder, Omri Abend |
| 2024 | ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? | Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried |
| 2024 | Learning to Refine with Fine-Grained Natural Language Feedback. | Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett |
| 2024 | Learning from Natural Language Explanations for Generalizable Entity Matching. | Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Luyang Kong |
| 2024 | Investigating Mysteries of CoT-Augmented Distillation. | Somin Wadhwa, Silvio Amir, Byron C. Wallace |
| 2024 | Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. | Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung |
| 2024 | Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. | Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal |
| 2024 | Voices in a Crowd: Searching for clusters of unique perspectives. | Nikolas Vitsakis, Amit Parekh, Ioannis Konstas |
| 2024 | Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health. | Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J. Feldman, Kristen A. Lindquist, Saif M. Mohammad |
| 2024 | SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. | Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi |