EMNLP (Demos)

Publications

2023

Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chee Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. EMNLP (Demos) (2023)
Hang Zhang, Xin Li, Lidong Bing
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. EMNLP (Demos) (2023)
Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vuli, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning. EMNLP (Demos) (2023)
Chenliang Li, He Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models. EMNLP (Demos) (2023)
Frontmatter. EMNLP (Demos) (2023)
Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. EMNLP (Demos) (2023)
Yongzhu Chang, Rongsheng Zhang, Lin Jiang, Qihang Chen, Le Zhang, Jiashu Pu
Sudowoodo: A Chinese Lyric Imitation System with Source Lyrics. EMNLP (Demos) (2023)
Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin Burke, Huimin Zhao, Jiawei Han
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. EMNLP (Demos) (2023)
Traian Rebedea, Razvan Dinu, Makesh Narsimhan Sreedhar, Christopher Parisien, Jonathan Cohen
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails. EMNLP (Demos) (2023)
Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab F. Ilyas, Yunyao Li
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge. EMNLP (Demos) (2023)
Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. EMNLP (Demos) (2023)
Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. EMNLP (Demos) (2023)
Yasuto Hoshi, Daisuke Miyashita, Youyang Ng, Kento Tatsuno, Yasuhiro Morioka, Osamu Torii, Jun Deguchi
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models. EMNLP (Demos) (2023)
Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu
Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs. EMNLP (Demos) (2023)
Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) (2023)
Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
LM-Polygraph: Uncertainty Estimation for Language Models. EMNLP (Demos) (2023)
Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. EMNLP (Demos) (2023)
Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
Descriptive Knowledge Graph in Biomedical Domain. EMNLP (Demos) (2023)
Christopher Akiki, Odunayo Ogundepo, Aleksandra Piktus, Xinyu Zhang, Akintunde Oladipo, Jimmy Lin, Martin Potthast
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face. EMNLP (Demos) (2023)
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 - System Demonstrations, Singapore, December 6-10, 2023 EMNLP (Demos) (2023)
Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. EMNLP (Demos) (2023)
Kai Lv, Shuo Zhang, Tianle Gu, Shuhao Xing, Jiawei Hong, Keyu Chen, Xiaoran Liu, Yuqing Yang, Honglin Guo, Tengxiao Liu, Yu Sun, Qipeng Guo, Hang Yan, Xipeng Qiu
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way. EMNLP (Demos) (2023)
Henrik Voigt, Nuno Carvalhais, Monique Meuschke, Markus Reichstein, Sina Zarrieß, Kai Lawonn
VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog. EMNLP (Demos) (2023)
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
Prompt2Model: Generating Deployable Models from Natural Language Instructions. EMNLP (Demos) (2023)
Chunxu Yang, Chien-Sheng Wu, Lidiya Murakhovs'ka, Philippe Laban, Xiang Chen
INTELMO: Enhancing Models' Adoption of Interactive Interfaces. EMNLP (Demos) (2023)
Jon Z. Cai, Shafiuddin Rehan Ahmed, Julia Bonn, Kristin Wright-Bettner, Martha Palmer, James H. Martin
CAMRA: Copilot for AMR Annotation. EMNLP (Demos) (2023)
Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu
NewsSense: Reference-free Verification via Cross-document Comparison. EMNLP (Demos) (2023)
Christian Huber, Tu Anh Dinh, Carlos Mullov, Ngoc-Quan Pham, Thai Binh Nguyen, Fabian Retkowski, Stefan Constantin, Enes Yavuz Ugan, Danni Liu, Zhaolin Li, Sai Koneru, Jan Niehues, Alexander Waibel
End-to-End Evaluation for Low-Latency Simultaneous Speech Translation. EMNLP (Demos) (2023)
Jonas Golde, Patrick Haller, Felix Hamborg, Julian Risch, Alan Akbik
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs. EMNLP (Demos) (2023)
Yasaman Boreshban, Seyed Morteza Mirbostani, Seyedeh Fatemeh Ahmadi, Gita Shojaee, Fatemeh Kamani, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel
RobustQA: A Framework for Adversarial Text Generation Analysis on Question Answering Systems. EMNLP (Demos) (2023)
Christina Lohr, Udo Hahn
DOPA METER - A Tool Suite for Metrical Document Profiling and Aggregation. EMNLP (Demos) (2023)
Steinþór Steingrimsson, Hrafn Loftsson, Andy Way
SentAlign: Accurate and Scalable Sentence Alignment. EMNLP (Demos) (2023)
Qi Wu, Wen-Han Chao, Xian Zhou, Zhunchen Luo
TP-Detector: Detecting Turning Points in the Engineering Process of Large-scale Projects. EMNLP (Demos) (2023)
Milos Stanojevic, Laurent Sartran
SynJax: Structured Probability Distributions for JAX. EMNLP (Demos) (2023)
Christoph Tillmann, Aashka Trivedi, Sara Rosenthal, Santosh Borse, Rong Zhang, Avirup Sil, Bishwaranjan Bhattacharjee
Muted: Multilingual Targeted Offensive Speech Identification and Visualization. EMNLP (Demos) (2023)
Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi
Koala: An Index for Quantifying Overlaps with Pre-training Corpora. EMNLP (Demos) (2023)
Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang
DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. EMNLP (Demos) (2023)
Andreea Iana, Goran Glavas, Heiko Paulheim
NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation. EMNLP (Demos) (2023)
Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan
SummHelper: Collaborative Human-Computer Summarization. EMNLP (Demos) (2023)
Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael Lyu, Liwei Wang
CLEVA: Chinese Language Models EVAluation Platform. EMNLP (Demos) (2023)
Hao Peng, Xiaozhi Wang, Feng Yao, Zimu Wang, Chuzhao Zhu, Kaisheng Zeng, Lei Hou, Juanzi Li
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding. EMNLP (Demos) (2023)
Tom Bryan, Jacob Carlson, Abhishek Arora, Melissa Dell
EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge. EMNLP (Demos) (2023)
Zhilin Wang, Yu-Ying Chiu, Yu Cheung Chiu
Humanoid Agents: Platform for Simulating Human-like Generative Agents. EMNLP (Demos) (2023)
Yixi Ding, Yanxia Qin, Qian Liu, Min-Yen Kan
CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability. EMNLP (Demos) (2023)
Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. EMNLP (Demos) (2023)
Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Chun Ming Lee, Marcos V. Conde
H2O Open Ecosystem for State-of-the-art Large Language Models. EMNLP (Demos) (2023)
Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, Denis Dimitrov
Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. EMNLP (Demos) (2023)
David Heineman, Yao Dou, Wei Xu
Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation. EMNLP (Demos) (2023)
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models. EMNLP (Demos) (2023)
Alexander M. Rush
MiniChain: A Small Library for Coding with Large Language Models. EMNLP (Demos) (2023)