| 2024 | Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use. | Jiajun Xi, Yinong He, Jianing Yang, Yinpei Dai, Joyce Chai |
| 2024 | ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods. | Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Gong, Bhuwan Dhingra |
| 2024 | V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization. | Yuxi Xie, Guanzhen Li, Xiao Xu, Min-Yen Kan |
| 2024 | Adversarial Math Word Problem Generation. | Roy Xie, Chengxuan Huang, Junlin Wang, Bhuwan Dhingra |
| 2024 | Calibrating Language Models with Adaptive Temperature Scaling. | Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn |
| 2024 | Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning. | Xiaopeng Xie, Ming Yan, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Zhou |
| 2024 | RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models. | Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao |
| 2024 | Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction. | Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rhle |
| 2024 | Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information. | Runze Xia, Congchi Yin, Piji Li |
| 2024 | Distract Large Language Models for Automatic Jailbreak Attack. | Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen |
| 2024 | Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation. | Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu |
| 2024 | FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents. | Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li |
| 2024 | How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. | Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar |
| 2024 | Large Language Models Can Be Contextual Privacy Protection Learners. | Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng |
| 2024 | ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations. | Yunze Xiao, Yujia Hu, Kenny T. W. Choo, Roy Ka-Wei Lee |
| 2024 | Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach. | Zihao Xiao, Jiefu Gong, Shijin Wang, Wei Song |
| 2024 | Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis. | Luwei Xiao, Rui Mao, Xulang Zhang, Liang He, Erik Cambria |
| 2024 | Retrospex: Language Agent Meets Offline Reinforcement Learning Critic. | Yufei Xiang, Yiqun Shen, Yeqin Zhang, Cam-Tu Nguyen |
| 2024 | OpenGraph: Towards Open Graph Foundation Models. | Lianghao Xia, Ben Kao, Chao Huang |
| 2024 | Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data. | Han Xia, Songyang Gao, Qiming Ge, Zhiheng Xi, Qi Zhang, Xuanjing Huang |
| 2024 | Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment. | Orgest Xhelili, Yihong Liu, Hinrich Schtze |
| 2024 | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. | |
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