| 2024 | Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. | Kazuma Hashimoto, Karthik Raman, Michael Bendersky |
| 2024 | Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations. | Farsheed Haque, Depeng Xu, Shuhan Yuan |
| 2024 | LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. | Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang |
| 2024 | The Impact of Differential Privacy on Group Disparity Mitigation. | Victor Petrn Bach Hansen, Atula Tejaswi Neerkaje, Ramit Sawhney, Lucie Flek, Anders Sgaard |
| 2024 | Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models. | Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria |
| 2024 | David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. | Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad |
| 2024 | Fighting crime with Transformers: Empirical analysis of address parsing methods in payment data. | Haitham Hammami, Louis Baligand, Bojan Petrovski |
| 2024 | FIRE: A Dataset for Financial Relation Extraction. | Hassan Hamad, Abhinav Kumar Thakur, Nijil Kolleri, Sujith Pulikodan, Keith M. Chugg |
| 2024 | OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs. | Patrick Haller, Ansar Aynetdinov, Alan Akbik |
| 2024 | SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. | Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz |
| 2024 | METAL: Towards Multilingual Meta-Evaluation. | Rishav Hada, Varun Gumma, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram |
| 2024 | Testing the limits of logical reasoning in neural and hybrid models. | Manuel Vargas Guzmn, Jakub Szymanik, Maciej Malicki |
| 2024 | Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness. | Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, Ana Marasovic |
| 2024 | FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering. | Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King |
| 2024 | A Novel Paradigm Boosting Translation Capabilities of Large Language Models. | Jiaxin Guo, Hao Yang, Zongyao Li, Daimeng Wei, Hengchao Shang, Xiaoyu Chen |
| 2024 | Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. | Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong, Bryan Wang |
| 2024 | The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text. | Yanzhu Guo, Guokan Shang, Michalis Vazirgiannis, Chlo Clavel |
| 2024 | SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation. | Shasha Guo, Lizi Liao, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen |
| 2024 | Personalized Jargon Identification for Enhanced Interdisciplinary Communication. | Yue Guo, Joseph Chee Chang, Maria Antoniak, Erin Bransom, Trevor Cohen, Lucy Lu Wang, Tal August |
| 2024 | Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions. | Danfeng Guo, Sanchit Agarwal, Arpit Gupta, Jiun-Yu Kao, Emre Barut, Tagyoung Chung, Jing Huang, Mohit Bansal |
| 2024 | HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants. | Milan Gritta, Gerasimos Lampouras, Ignacio Iacobacci |
| 2024 | Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors. | Victoria Graf, Qin Liu, Muhao Chen |
| 2024 | Native Language Identification in Texts: A Survey. | Dhiman Goswami, Sharanya Thilagan, Kai North, Shervin Malmasi, Marcos Zampieri |
| 2024 | Leveraging the Structure of Pre-trained Embeddings to Minimize Annotation Effort. | Csar Gonzlez-Gutirrez, Ariadna Quattoni |
| 2024 | MindAgent: Emergent Gaming Interaction. | Ran Gong, Qiuyuan Huang, Xiaojian Ma, Yusuke Noda, Zane Durante, Zilong Zheng, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao, Hoi Vo |