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Congratulations to Shinji's team for winning #EMNLP2024 best paper award!
Congratulations to @gneubig and team for winning #EMNLP2024 Best paper!
#EMNLP2024 Best Paper 1/5: An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance
Curious about how to scale LLaMA to 100+ languages? LLaMAX is on show at #EMNLP2024 Jasmine room poster#237 4-5:30pm. Danqing Wang @dqwang122 and Wenda Xu @WendaXu2 are onsite to explain. Demo huggingface.co/spaces/vilarin… (thx to @AnnioDance)
Introducing LLaMAX: an LLM for 101 languages! Current LLMs show translation capability only on a few limited languages. We developed LLaMAX (based on continual training of LLaMA), extending the LLM to 101 langs. arxiv.org/abs/2407.05975
Towards Robust Speech Representation Learning for Thousands of Languages (cont'd) Session: Speech Processing and Spoken Language Understanding 1, Session 06, 10:30-12:00 aclanthology.org/2024.emnlp-mai… (2/2)
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM by Jielin Qiu, Andrea Madotto, Zhaojiang Lin, Paul A. Crook, Yifan Ethan Xu, Xin Luna Dong, Christos Faloutsos, @lileics, Babak Damavandi, and Seungwhan Moon (1/2)
MT folks, welcome to try Translation Canvas system for analyzing translation performance. It is based on InstructScore, which not only provides a quality score but also fine-grained explanation for translation errors. arxiv.org/abs/2410.10861 @WendaXu2 @siqi_ouyang
Translation Canvas: An Explainable Interface to Pinpoint and Analyze Translation Systems by Chinmay Dandekar, Wenda Xu, Xi Xu, @siqi_ouyang, and @lileics Session: Demo, Session 06, 10:30-12:00 arxiv.org/abs/2410.10861
Welcome to meet Danqing Wang @dqwang122 at #EMNLP2024 poster to discuss personalized alignment for evaluating open-ended text generation. arxiv.org/abs/2310.03304
Learning Personalized Alignment for Evaluating Open-ended Text Generation by @dqwang122, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, @lileics, and Yuandong Tian Session: Resources and Evaluation 3, Session 06, 10:30-12:00 arxiv.org/abs/2310.03304
Come to our #EMNLP2024 poster this afternoon at 4pm to discuss how to better segment documents and improve LLM RAG performance. arxiv.org/abs/2406.17526 You will meet with Andre @avduarte3333
LumberChunker: Long-Form Narrative Document Segmentation by @avduarte3333, João DS Marques, Miguel Graça, Miguel Freire, @lileics, and Arlindo L. Oliveira Session: Information Retrieval and TextMining 3, Session 09, 16:00-17:30 arxiv.org/abs/2406.17526
RAGViz: Diagnose and Visualize Retrieval-Augmented Generation by: Tevin Wang, Jingyuan He, and @xiongchenyan Session: Demo, Session 04, 16:00-17:30 arxiv.org/abs/2411.01751
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages? by Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, & @dmort27 Session: Discourse + Phonology + Syntax 1, Session 03, 14:00-15:30 aclanthology.org/2024.emnlp-mai…
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs by Jocelyn Shen, @Joel_Mire, Hae Won Park, Cynthia Breazeal, & @MaartenSap Session: Computational Social Science and Cultural Analytics 1, Session 03, 14:00-15:30 aclanthology.org/2024.emnlp-mai…
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text by Michael Ginn*, @lltjuatja*, Taiqi He, Enora Rice, @gneubig, Alexis Palmer, @LoriLevinPgh Session: Multilinguality & Lang. Diversity 1, Session 03, 14:00-15:30 aclanthology.org/2024.emnlp-mai…
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? by @s_waghjale, @viishruth, @ZhiruoW, and @dan_fried Session: NLP Applications 1, Session 02, 11:00-12:30 arxiv.org/abs/2407.14044
I’m thrilled to be at EMNLP this week presenting our paper, “The Empirical Variability of Narrative Perceptions of Social Media Texts” I’ll be giving an oral presentation during the CSS + Cultural Analytics Session 2 (Nov 14). Paper: aclanthology.org/2024.emnlp-mai… 🧵(1/12)
A Survey on In-context Learning by Qingxiu Dong, @lileics, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, and Zhifang Sui Session: Language Modeling 2, Session 03, 14:00-15:30 arxiv.org/abs/2301.00234
Talk: Speculations on Test-Time Scaling A tutorial on the technical aspects behind OpenAI's o1 and open research questions in this space. youtu.be/6PEJ96k1kiw
My group have 7 papers(including 1 demo) at #EMNLP2024. Topics include multilingual LLM, evaluation, LLM alignment, multimodal LLM. My students Danqing Wang @dqwang122 Andre Duarte @avduarte3333 Wenda Xu @WendaXu2 Chinmay Dandekar will present onsite. You are welcome to stop by
We're organizing a special issue at Computer Speech & Language about Multi-Speaker, Multi-Microphone, and Multi-Modal Distant Speech Recognition. Deadline: December 2, 2024 sciencedirect.com/journal/comput… @chimechallenge
We are pleased to announce that Lei Li (@lileics), from Carnegie Mellon University, will be presenting at the FutureTech Workshop on The Role of AI in Science, scheduled for November 2nd and 3rd, 2024. Lei Li's talk, titled 'Watermarking and detecting AI generation', will be…
🚨 Final push for our Erasing the Invisible NeurIPS competition! 🚀 We’ve got 126 teams tackling the black-box watermark removal track and 99 teams in the beige-box track so far. There’s still time—join the challenge before it wraps up on Nov 5! 🔥 codabench.org/competitions/3……
🚨 Join the Challenge! 🚨 We're excited to announce the NeurIPS competition "Erasing the Invisible: A Stress-Test Challenge for Image Watermarks" running from September 16 to November 5. This is your chance to test your skills in a cutting-edge domain and win a share of our $6000…
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