| 2024 | Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding. | Yanda Li, Dixuan Wang, Jiaqing Liang, Guochao Jiang, Qianyu He, Yanghua Xiao, Deqing Yang |
| 2024 | Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement. | Changqun Li, Linlin Wang, Xin Lin, Shizhou Huang, Liang He |
| 2024 | Self-Prompting Large Language Models for Zero-Shot Open-Domain QA. | Junlong Li, Jinyuan Wang, Zhuosheng Zhang, Hai Zhao |
| 2024 | An NLP-Focused Pilot Training Agent for Safe and Efficient Aviation Communication. | Xiaochen Liu, Bowei Zou, AiTi Aw |
| 2024 | Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives. | Jiaxin Liu, Yi Yang, Kar Yan Tam |
| 2024 | SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. | Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Monica Lam |
| 2024 | MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. | Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu |
| 2024 | From Shortcuts to Triggers: Backdoor Defense with Denoised PoE. | Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen |
| 2024 | Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge. | Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang |
| 2024 | Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. | Haochen Liu, Song Wang, Chen Chen, Jundong Li |
| 2024 | X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. | Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang |
| 2024 | Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence. | Yinhong Liu, Yixuan Su, Ehsan Shareghi, Nigel Collier |
| 2024 | On Learning to Summarize with Large Language Models as References. | Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan |
| 2024 | FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing. | Chen Liu, Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych |
| 2024 | ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models. | Zequan Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham |
| 2024 | Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. | Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu |
| 2024 | OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining. | Yihong Liu, Peiqin Lin, Mingyang Wang, Hinrich Schtze |
| 2024 | Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings. | Chen Liu, Fajri Koto, Timothy Baldwin, Iryna Gurevych |
| 2024 | Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications. | Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju |
| 2024 | Self-Regulated Sample Diversity in Large Language Models. | Mingyue Liu, Jonathan Frawley, Sarah Wyer, Hubert P. H. Shum, Sara L. Uckelman, Sue Black, Chris G. Willcocks |
| 2024 | P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. | Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov |
| 2024 | Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. | Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan |
| 2024 | CASA: Causality-driven Argument Sufficiency Assessment. | Xiao Liu, Yansong Feng, Kai-Wei Chang |
| 2024 | The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation. | Zoey Liu, Bonnie J. Dorr |
| 2024 | Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences. | Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji |