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NAACL-HLT 2024: Mexico City, Mexico - System Demonstrations
- Kai-Wei Chang, Annie Lee, Nazneen Rajani:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-116-2 - John M. Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Lu Wang:
TOPICAL: TOPIC Pages AutomagicaLly. 1-11 - Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Nan Duan, Furu Wei:
Low-code LLM: Graphical User Interface over Large Language Models. 12-25 - Alonso Palomino, Andreas Fischer, Jakub Kuzilek, Jarek Nitsch, Niels Pinkwart, Benjamin Paassen:
EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language. 26-35 - Songbo Hu, Xiaobin Wang, Moy Yuan, Anna Korhonen, Ivan Vulic:
DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models. 36-52 - Seonglae Cho, Myungha Jang, Jinyoung Yeo, Dongha Lee:
RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization. 53-60 - Rose E. Wang, Dorottya Demszky:
Edu-ConvoKit: An Open-Source Library for Education Conversation Data. 61-69 - Jungyeul Park, Junrui Wang, Eunkyul Leah Jo, Angela Yoonseo Park:
jp-evalb: Robust Alignment-based PARSEVAL Measures. 70-77 - Patrick Haller, Ansar Aynetdinov, Alan Akbik:
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs. 78-86 - Alexa F. Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova, Tong Sun:
ATLAS: A System for PDF-centric Human Interaction Data Collection. 87-96 - John Murzaku, Owen Rambow:
BeLeaf: Belief Prediction as Tree Generation. 97-106 - Kaustubh D. Dhole, Shivam Bajaj, Ramraj Chandradevan, Eugene Agichtein:
QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration. 107-115 - Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang:
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. 116-127 - Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala:
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. 128-136 - Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric P. Xing, Zhiting Hu:
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. 137-147 - Tim Fischer, Florian Schneider, Robert Geislinger, Florian Helfer, Gertraud Koch, Chris Biemann:
Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis. 148-157 - Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang
, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts:
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions. 158-165 - Prajvi Saxena, Sabine Janzen, Wolfgang Maass:
Newspaper Signaling for Crisis Prediction. 166-173 - Asaf Yehudai, Elron Bandel:
FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes. 174-184 - Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence:
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. 185-193 - Pengfan Du, Sirui Liang, Baoli Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models. 194-206 - Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman, Ofir Arviv, Matan Orbach, Shachar Don-Yehiya, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz:
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. 207-215
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