Papers
CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation
Sathish Indurthi, Shamil Chollampatt, Ravi Agrawal et al.
CLAIR: Evaluating Image Captions with Large Language Models
David M. Chan, Suzanne Petryk, Joseph E. Gonzalez et al.
CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles
Shashank Sonkar, Naiming Liu, Debshila Mallick et al.
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset
Susanna Rücker, Alan Akbik
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents
Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov et al.
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction
Jingheng Ye, Yinghui Li, Qingyu Zhou et al.
CLEVA: Chinese Language Models EVAluation Platform
Yanyang Li, Jianqiao Zhao, Duo Zheng et al.
CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension
Jingwei Zhang, Xin Wu, Yi Cai
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets
Tobias Schimanski, Julia Bingler, Mathias Kraus et al.
Clinical Contradiction Detection
Dave Makhervaks, Plia Gillis, Kira Radinsky
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text
Abhilash Nandy, Manav Kapadnis, Pawan Goyal et al.
Closed Boundary Learning for Classification Tasks with the Universum Class
Hanzhang Zhou, Zijian Feng, Kezhi Mao
ClozEx: A Task toward Generation of English Cloze Explanation
Zizheng Zhang, Masato Mita, Mamoru Komachi
CL-QR: Cross-Lingual Enhanced Query Reformulation for Multi-lingual Conversational AI Agents
Zhongkai Sun, Zhengyang Zhao, Sixing Lu et al.
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix
Xinyu Ma, Xuebo Liu, Min Zhang
ClusterLLM: Large Language Models as a Guide for Text Clustering
Yuwei Zhang, Zihan Wang, Jingbo Shang
ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery
Jinggui Liang, Lizi Liao
Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning
Xiangjue Dong, Ziwei Zhu, Zhuoer Wang et al.
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
Minzhi Li, Taiwei Shi, Caleb Ziems et al.
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality
Harman Singh, Pengchuan Zhang, Qifan Wang et al.
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners
Kaikai An, Ce Zheng, Bofei Gao et al.
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning
Xiaoming Liu, Zhaohan Zhang, Yichen Wang et al.
CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability
Yixi Ding, Yanxia Qin, Qian Liu et al.
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
Shuyan Zhou, Uri Alon, Sumit Agarwal et al.
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Mukul Singh, José Cambronero, Sumit Gulwani et al.