Papers
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger
Jiazhao Li, Yijin Yang, Zhuofeng Wu et al.
Citation: A Key to Building Responsible and Accountable Large Language Models
Jie Huang, Kevin Chang
CLaC at SemEval-2024 Task 2: Faithful Clinical Trial Inference
Jennifer Marks, Mohammadreza Davari, Leila Kosseim
CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes – An Ensemble of Language Models with Paraphrase Augmentation
Kota Shamanth Ramanath Nayak, Leila Kosseim
CLD-MEC at MEDIQA- CORR 2024 Task: GPT-4 Multi-Stage Clinical Chain of Thought Prompting for Medical Errors Detection and Correction
Renad M. Alzghoul, Abdulrahman Tabaza, Aya Abdelhaq et al.
CLEAN–EVAL: Clean Evaluation on Contaminated Large Language Models
Wenhong Zhu, Hongkun Hao, Zhiwei He et al.
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning
Ge Bai, Chenji Lu, Daichi Guo et al.
CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity
Yang Yang, Xunde Dong, Yupeng Qiang
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes
Zhichao Yang, Avijit Mitra, Sunjae Kwon et al.
CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish
Ankit Vaidya, Aditya Gokhale, Arnav Desai et al.
CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification
Mohammadhossein Rezaei, Yeaeun Kwon, Reza Sanayei et al.
ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation
Monika Singh, Sujit Kumar, Tanveen et al.
Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documents
Zhengxiang Wang, Owen Rambow
CMB: A Comprehensive Medical Benchmark in Chinese
Xidong Wang, Guiming Chen, Song Dingjie et al.
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models
Xiang Li, Fan Bu, Ambuj Mehrish et al.
CNER: Concept and Named Entity Recognition
Giuliano Martinelli, Francesco Molfese, Simone Tedeschi et al.
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP
Chandra Kiran Evuru, Sreyan Ghosh, Sonal Kumar et al.
CodecLM: Aligning Language Models with Tailored Synthetic Data
Zifeng Wang, Chun-Liang Li, Vincent Perot et al.
Code Models are Zero-shot Precondition Reasoners
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu et al.
Coding Open-Ended Responses using Pseudo Response Generation by Large Language Models
Yuki Zenimoto, Ryo Hasegawa, Takehito Utsuro et al.
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions
Hanchong Zhang, Ruisheng Cao, Hongshen Xu et al.
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking
Nan Xu, Fei Wang, Ben Zhou et al.
Combating Security and Privacy Issues in the Era of Large Language Models
Muhao Chen, Chaowei Xiao, Huan Sun et al.
Combining Multiple Metrics for Evaluating Retrieval-Augmented Conversations
Jason Ingyu Choi, Marcus Collins, Eugene Agichtein et al.
ComCLIP: Training-Free Compositional Image and Text Matching
Kenan Jiang, Xuehai He, Ruize Xu et al.