Papers
Can Large Language Models Be an Alternative to Human Evaluations?
Cheng-Han Chiang, Hung-yi Lee
Can Large Language Models Safely Address Patient Questions Following Cataract Surgery?
Mohita Chowdhury, Ernest Lim, Aisling Higham et al.
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
Yasumasa Onoe, Michael Zhang, Shankar Padmanabhan et al.
Can LMs Store and Retrieve 1-to-N Relational Knowledge?
Haruki Nagasawa, Benjamin Heinzerling, Kazuma Kokuta et al.
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
Jiashu Xu, Mingyu Derek Ma, Muhao Chen
Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?
Xinzhe Li, Ming Liu, Shang Gao
Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions?
Xiang Zhou, Aditya Gupta, Shyam Upadhyay et al.
Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet
Skyler Zou, Xiang Dai, Grant Brinkworth et al.
Can we trust the evaluation on ChatGPT?
Rachith Aiyappa, Jisun An, Haewoon Kwak et al.
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization
Prafulla Kumar Choubey, Alex Fabbri, Jesse Vig et al.
Care4Lang at MEDIQA-Chat 2023: Fine-tuning Language Models for Classifying and Summarizing Clinical Dialogues
Amal Alqahtani, Rana Salama, Mona Diab et al.
CARE: Collaborative AI-Assisted Reading Environment
Dennis Zyska, Nils Dycke, Jan Buchmann et al.
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
Jinfeng Zhou, Chujie Zheng, Bo Wang et al.
CASN:Class-Aware Score Network for Textual Adversarial Detection
Rong Bao, Rui Zheng, Liang Ding et al.
CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning
Weiqi Wang, Tianqing Fang, Baixuan Xu et al.
Categorial grammar induction from raw data
Christian Clark, William Schuler
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality
Liang Li, Ruiying Geng, Chengyang Fang et al.
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning
Fan Zhou, Yuzhou Mao, Liu Yu et al.
CausalDialogue: Modeling Utterance-level Causality in Conversations
Yi-Lin Tuan, Alon Albalak, Wenda Xu et al.
Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection
Ziwei Chen, Linmei Hu, Weixin Li et al.
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
Jiazheng Zhu, Shaojuan Wu, Xiaowang Zhang et al.
Causal interventions expose implicit situation models for commonsense language understanding
Takateru Yamakoshi, James McClelland, Adele Goldberg et al.
Causality-aware Concept Extraction based on Knowledge-guided Prompting
Siyu Yuan, Deqing Yang, Jinxi Liu et al.
Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction
Di Luo, Weiheng Liao, Shuqi Li et al.
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies
Raymond Zhang, Neha Nayak Kennard, Daniel Smith et al.