Papers
JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation
Xinyi Liu, Xintong Liu, Hengyang Lu
jp-evalb: Robust Alignment-based PARSEVAL Measures
Jungyeul Park, Junrui Wang, Eunkyul Leah Jo et al.
JSI and WüNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far
Nikola Ljubešić, Taja Kuzman, Peter Rupnik et al.
J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema
Kosuke Matsuzaki, Masaya Taniguchi, Kentaro Inui et al.
Kathlalu at SemEval-2024 Task 8: A Comparative Analysis of Binary Classification Methods for Distinguishing Between Human and Machine-generated Text
Lujia Cao, Ece Lara Kilic, Katharina Will
KCLab at Chemotimelines 2024: End-to-end system for chemotherapy timeline extraction – Subtask2
Yukun Tan, Merve Dede, Ken Chen
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
Cong-Duy Nguyen, Thong Nguyen, Xiaobao Wu et al.
Keep it Private: Unsupervised Privatization of Online Text
Calvin Bao, Marine Carpuat
Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks
Nadezhda Chirkova, Vassilina Nikoulina
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
Michal Spiegel, Dominik Macko
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
Wenting Zhao, Ye Liu, Yao Wan et al.
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning
Weiqi Wang, Baixuan Xu, Haochen Shi et al.
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
Yukun Zhao, Lingyong Yan, Weiwei Sun et al.
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction
Zhaolong Wu, Abul Hasan, Jinge Wu et al.
KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
Xindi Luo, Zequn Sun, Jing Zhao et al.
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
Jianing Wang, Chengyu Wang, Chuanqi Tan et al.
Knowledge-centered conversational agents with a drive to learn
Selene Baez Santamaria
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels
Nicholas Pangakis, Sam Wolken
Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget
Minh Duc Bui, Fabian Schmidt, Goran Glavaš et al.
Know When To Stop: A Study of Semantic Drift in Text Generation
Ava Spataru, Eric Hambro, Elena Voita et al.
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages
Nathaniel R. Robinson, Raj Dabre, Ammon Shurtz et al.
KTRL+F: Knowledge-Augmented In-Document Search
Hanseok Oh, Haebin Shin, Miyoung Ko et al.
KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR
Hajung Kim, Chanhwi Kim, Hoonick Lee et al.
KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction
Hyeon Hwang, Taewhoo Lee, Hyunjae Kim et al.
L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text?
Hanh Thi Hong Tran, Tien Nam Nguyen, Antoine Doucet et al.